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Georgia Tech
1.
Song, Tao.
Design and Test of A Bat Robot.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/62804 
► This thesis presents a new structure to improve the performance of a biologically inspired bat robot called Bat Bot (B2). In the previous work, a…
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▼ This thesis presents a new structure to improve the performance of a biologically inspired bat robot called Bat Bot (B2). In the previous work, a bat robot with five degrees of actuation was designed. This structure significantly simplified the morphology of a biological bat, which has over 40 degrees of freedom (DOFs), while still covering the most important DOFs for bat flight. In the present work, a new parallel structure is introduced to B2’s wing to enable the distal part of the wings to bend downward and fold at the same time during the upstroke. Since this additional DOF is passive, no other actuator is required. The new generation of B2 has following DOFs: (1) synchronized wing flapping, (2) asynchronous folding and bending coupled by the new parallel structure, and (3) asynchronous dorsoventral movement of the hindlimbs.
Advisors/Committee Members: Hutchinson, Seth (advisor), Mazumdar, Anirban (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: biomimetic; robot
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APA (6th Edition):
Song, T. (2020). Design and Test of A Bat Robot. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62804
Chicago Manual of Style (16th Edition):
Song, Tao. “Design and Test of A Bat Robot.” 2020. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/62804.
MLA Handbook (7th Edition):
Song, Tao. “Design and Test of A Bat Robot.” 2020. Web. 08 Mar 2021.
Vancouver:
Song T. Design and Test of A Bat Robot. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/62804.
Council of Science Editors:
Song T. Design and Test of A Bat Robot. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62804
Georgia Tech
2.
Repola, Caroline R.
Implementation and tuning of an extended expert control system for helicopter autorotation and development of a nonlinear model of electric drives to be used in the optimization of torque performance.
Degree: MS, Mechanical Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/59179
► This thesis covers two separate investigations under the topic of control. The first is the design and tuning of a fuzzy logic controller for Human-in-the-Loop…
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▼ This thesis covers two separate investigations under the topic of control. The first is the design and tuning of a fuzzy logic controller for Human-in-the-Loop (HITL) helicopter autorotation. The second is the exploration of an optimized pulse pattern for the control of an electric drive with focus on the development of the mathematical model of the drive.
Part One of this thesis discusses the autorotation controller. Helicopter autorotation is the operation a pilot performs when power is no longer supplied to the main rotor and an emergency landing is required. A controller was developed that allowed an autonomously controlled helicopter to perform an autorotation, an ‘expert skill’ more easily learned by human pilots. This controller is used in this thesis to create a tool that brings the computer and human together. The tuning process of the autorotation controller is described in detail. The controller used has five stages of operation; the transitions between these stages occur through a fuzzy logic determination. The results of the tuning bring about a successful autorotation in a simulated environment. The specific model of the controller developed in this thesis can be used in a different system to supply commands to a human pilot, aiding in the decisions during an autorotation.
Part Two of this thesis covers the development of the mathematical model of an electric drive and an optimization scheme to find a ‘better’ switching sequence for control. The goal of the model is to use it to find a better switching sequence, where better means fewer switching events as well as hitting targets of other key performance indicators (KPIs). The idea explored in this thesis is controlling the drive based on direct manipulation of the switches instead of indirectly through voltage or current. The mathematical model focusing on the switches is important to develop to facilitate the exploration of this control. Two different methods for developing this model are described. The first is a manually switched model based on examining every possible state of the drive. The second method is a non-smooth differential algebraic equation (DAE) approach, a more sophisticated mathematical approach that describes every state of the drive in one set of equations. An optimization scheme using model predictive control (MPC) is described. The focus of the optimization is the torque output of the motor and the number of switching events. The optimization would use the model developed in the thesis.
Advisors/Committee Members: Rogers, Jonathan (advisor), Sadegh, Nader (committee member), Leine, Remco (committee member), Sawodny, Oliver (committee member).
Subjects/Keywords: Helicopter autorotation; Fuzzy logic control; Human-in-the-Loop control; Electric drive; Nonlinear model; Multi-objective optimization
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APA (6th Edition):
Repola, C. R. (2017). Implementation and tuning of an extended expert control system for helicopter autorotation and development of a nonlinear model of electric drives to be used in the optimization of torque performance. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59179
Chicago Manual of Style (16th Edition):
Repola, Caroline R. “Implementation and tuning of an extended expert control system for helicopter autorotation and development of a nonlinear model of electric drives to be used in the optimization of torque performance.” 2017. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/59179.
MLA Handbook (7th Edition):
Repola, Caroline R. “Implementation and tuning of an extended expert control system for helicopter autorotation and development of a nonlinear model of electric drives to be used in the optimization of torque performance.” 2017. Web. 08 Mar 2021.
Vancouver:
Repola CR. Implementation and tuning of an extended expert control system for helicopter autorotation and development of a nonlinear model of electric drives to be used in the optimization of torque performance. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/59179.
Council of Science Editors:
Repola CR. Implementation and tuning of an extended expert control system for helicopter autorotation and development of a nonlinear model of electric drives to be used in the optimization of torque performance. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59179
Georgia Tech
3.
Sam Baaij, Ferdinand Johannes.
Advances in sheet molding compounds for automotive applications.
Degree: MS, Mechanical Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/59188
► This master thesis addresses new approaches in the manufacturing of lightweight composites for the automotive industry. Governmental regulatory and customer requirements force car manufacturers to…
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▼ This master thesis addresses new approaches in the manufacturing of lightweight composites for the automotive industry. Governmental regulatory and customer requirements force car manufacturers to reduce the weight of new car models on an ongoing basis. Therefore, the goal of this thesis was to find new techniques to create lightweight sheet molding compound (SMC) composites for automotive applications. Two general approaches were chosen: 1) Investigating basalt fibers as an alternative reinforcement to the commonly used glass fibers and 2) light-weighting of SMC composites by replacing a portion of the heavy reinforcing fibers with a small amount of cellulose nano-crystals (CNC). An SMC production line similar to the ones used in industry was used to make the various SMC sheets. The composites were then made by compression molding of the SMC and were characterized using various characterization techniques, e.g. single fiber fragmentation test, differential scanning calorimetry, thermo-/mechanical testing and microscopy. In the first part of the study, it was found that SMC composites made with basalt fibers show overall similar properties to those made with glass fiber reinforced composites. The advantage of basalt fibers is that they are an ecofriendly and lower cost alternative to glass fibers. The second part of the study showed that adding small amounts of CNC can enhance the mechanical properties of glass fiber reinforced SMC composites significantly, allowing to reduce the fiber content leading thus to a weight reduction of 11%.
Advisors/Committee Members: Kalatizidou, Kyriaki (advisor), Moon, Robert (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: Sheet molding compound; Manufacturing; Lightweight; Composite; Basalt fiber; Cellulose nano-crystals; CNC
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APA (6th Edition):
Sam Baaij, F. J. (2017). Advances in sheet molding compounds for automotive applications. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59188
Chicago Manual of Style (16th Edition):
Sam Baaij, Ferdinand Johannes. “Advances in sheet molding compounds for automotive applications.” 2017. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/59188.
MLA Handbook (7th Edition):
Sam Baaij, Ferdinand Johannes. “Advances in sheet molding compounds for automotive applications.” 2017. Web. 08 Mar 2021.
Vancouver:
Sam Baaij FJ. Advances in sheet molding compounds for automotive applications. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/59188.
Council of Science Editors:
Sam Baaij FJ. Advances in sheet molding compounds for automotive applications. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59188
Georgia Tech
4.
Schlagenhauf, Franziska Sabine.
A kinematic human upper body model for evaluating clothing.
Degree: MS, Mechanical Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/60170
► In this thesis a kinematic human upper body model for evaluating clothing fit and appearance is developed and validated. Realistic and accurate human body models…
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▼ In this thesis a kinematic human upper body model for evaluating clothing fit and appearance is developed and validated. Realistic and accurate human body models are required in many different application areas, including medicine, computer graphics, biomechanics, and sport science. A particular application of interest for a human body model is a virtual reality clothing model to evaluate fit and appearance of garments. A robotics-based model for the human upper body skeleton is derived. To validate the model, upper body motion data is collected with a markerless motion capture system using Microsoft Kinect. A baseline evaluation of markerless motion capture with a single Kinect sensor presents results from tracking a robot arm trajectory, frequency tests, and human motion capture experiments. Because occlusion causes a single Kinect sensor to fail in accurately predicting the human pose, a second Kinect sensor is integrated into the system. Data from the two sensors is fused and filtered using an Extended Kalman filter. The results are compared to marker-based tracking with a Vicon Motion Capture system. The Extended Kalman filter is shown to ensure constant body segment lengths, thus producing a more realistic estimation of the joint positions than obtained from the raw Kinect data. The proposed setup offers a low-cost, markerless, and portable alternative to marker based motion tracking.
Advisors/Committee Members: Singhose, William (advisor), Lee, Kok-Meng (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: Human motion capture; Tracking; Extended Kalman filter; Kinect; Upper body model
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APA (6th Edition):
Schlagenhauf, F. S. (2017). A kinematic human upper body model for evaluating clothing. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60170
Chicago Manual of Style (16th Edition):
Schlagenhauf, Franziska Sabine. “A kinematic human upper body model for evaluating clothing.” 2017. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/60170.
MLA Handbook (7th Edition):
Schlagenhauf, Franziska Sabine. “A kinematic human upper body model for evaluating clothing.” 2017. Web. 08 Mar 2021.
Vancouver:
Schlagenhauf FS. A kinematic human upper body model for evaluating clothing. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/60170.
Council of Science Editors:
Schlagenhauf FS. A kinematic human upper body model for evaluating clothing. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60170
Georgia Tech
5.
Evert, Andrew James.
Applications for sensor fusion in vertical transportation.
Degree: MS, Mechanical Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/60264
► The elevator industry is growing and evolving rapidly after a century and a half of relatively little change. Buildings are growing taller every day and…
(more)
▼ The elevator industry is growing and evolving rapidly after a century and a half of relatively little change. Buildings are growing taller every day and the elevator industry is trying to keep pace with the height required to access the entire building. Buildings are also becoming more complex shapes as building techniques and materials improve and this can require multiple shafts, or an entirely new elevator design, to reach every floor. Elevators, in their current state, have limited sensor capabilities. For example, the cab has levelling sensors to ensure that the floor of the cab is even with the floor of the building and the door has a curtain of light sensors to prevent passengers from being impacted by the door. However, these sensors are rudimentary at best, don’t interact with each other, and provide little to no useful feedback for the company or the technicians. The industry needs to place sensors on every aspect of the elevator and multiple per subsystem. These sensors should feed data into a central hub that can combine values from across the systems, and even individual subsystems, to generate a holistic view of the overall health. Multiple sensor fusion methods are examined with uses related to maintenance and parameter estimation. This study takes results from previous internal Thyssenkrupp projects. The findings of this project will then be used in multiple existing and future projects.
Advisors/Committee Members: Kurfess, Thomas (committee member), Sawodny, Oliver (committee member), Ehrl, Thomas (committee member).
Subjects/Keywords: Elevator; Sensor fusion; Dempster shafer; Kalman filter; Industry 4.0
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APA (6th Edition):
Evert, A. J. (2018). Applications for sensor fusion in vertical transportation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60264
Chicago Manual of Style (16th Edition):
Evert, Andrew James. “Applications for sensor fusion in vertical transportation.” 2018. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/60264.
MLA Handbook (7th Edition):
Evert, Andrew James. “Applications for sensor fusion in vertical transportation.” 2018. Web. 08 Mar 2021.
Vancouver:
Evert AJ. Applications for sensor fusion in vertical transportation. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/60264.
Council of Science Editors:
Evert AJ. Applications for sensor fusion in vertical transportation. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60264
Georgia Tech
6.
Ameur, Amir.
Voxel-based tool sequence optimization for 5-axis machining using high performance computing.
Degree: MS, Mechanical Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/60655
► This thesis presents an approach for tool sequence optimization in the case of 5-axis machining. Most of the reported work suggests tooling optimization methods involving…
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▼ This thesis presents an approach for tool sequence optimization in the case of 5-axis machining. Most of the reported work suggests tooling optimization methods involving parametric surfaces and CPU-enabled algorithms. In the current work, a novel voxel-based approach is presented. The main advantage of this 3D-representation is the ability to parallelize different operations executed on single voxels and run them on parallel platforms such as GPU cores. This work is realized through Sculptrprint, a voxelized GPGPU-enabled CAM software, and introduces 3 different algorithms to optimize the tool sequence selection. Each of the formulated strategies is based on the optimization of one or two machining objectives and has a GPU-only implementation.
Advisors/Committee Members: Kurfess, Thomas (advisor), Saldana, Christopher (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: Voxels; GPU; 5-axis machining; Tool selection
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APA (6th Edition):
Ameur, A. (2017). Voxel-based tool sequence optimization for 5-axis machining using high performance computing. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60655
Chicago Manual of Style (16th Edition):
Ameur, Amir. “Voxel-based tool sequence optimization for 5-axis machining using high performance computing.” 2017. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/60655.
MLA Handbook (7th Edition):
Ameur, Amir. “Voxel-based tool sequence optimization for 5-axis machining using high performance computing.” 2017. Web. 08 Mar 2021.
Vancouver:
Ameur A. Voxel-based tool sequence optimization for 5-axis machining using high performance computing. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/60655.
Council of Science Editors:
Ameur A. Voxel-based tool sequence optimization for 5-axis machining using high performance computing. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60655
Georgia Tech
7.
Oei, Marius Florian Bruno.
Assignment and pursuit in temporally heterogeneous robotic teams.
Degree: MS, Mechanical Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/55677
► Traditionally, robotic systems are built to move as fast as possible. In contrast to this, we investigate slowness and its effects on heterogeneous robotic teams…
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▼ Traditionally, robotic systems are built to move as fast as possible. In contrast to this, we investigate slowness and its effects on heterogeneous robotic teams inspired by biological systems. An assignment problem for static targets and a team pursuit problem for heterogeneous evaders are addressed.
The value of slowness in solving these problems optimally is examined. We further assemble the optimal teams for given problems by finding a compromise between performance and energy consumption or monetary cost. The results are validated in simulation and implemented on a robotic testbed.
Advisors/Committee Members: Egerstedt, Magnus B. (advisor), Ames, Aaron (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: Robotics; Slowness; Temporal heterogeneity; Assignment; Pursuit; Robotarium
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APA (6th Edition):
Oei, M. F. B. (2016). Assignment and pursuit in temporally heterogeneous robotic teams. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55677
Chicago Manual of Style (16th Edition):
Oei, Marius Florian Bruno. “Assignment and pursuit in temporally heterogeneous robotic teams.” 2016. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/55677.
MLA Handbook (7th Edition):
Oei, Marius Florian Bruno. “Assignment and pursuit in temporally heterogeneous robotic teams.” 2016. Web. 08 Mar 2021.
Vancouver:
Oei MFB. Assignment and pursuit in temporally heterogeneous robotic teams. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/55677.
Council of Science Editors:
Oei MFB. Assignment and pursuit in temporally heterogeneous robotic teams. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55677
Georgia Tech
8.
Leonard, Andrew.
Vehicle tracking using ultra-wideband radar.
Degree: MS, Mechanical Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/56265
► In this thesis a vehicle tracking problem using an ultra-wideband radar sensor is considered. Prior research is heavily focused on specific applications, such as highway…
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▼ In this thesis a vehicle tracking problem using an ultra-wideband radar sensor is considered. Prior research is heavily focused on specific applications, such as highway driving, where tracked-vehicle motion is confined and limited. The target application of this thesis is one of low speed but high variability in tracked-vehicle’s entry and exit points. After analysis of common nonlinear estimation techniques, and with the target application in mind, the tracker is developed within a Particle Filter framework. Given the cluttered nature of the radar-sensor data, pruning and gating methods are formulated for use in the measurement update procedure. Considering the quality and separation of vehicle data points within the radar-sensor data, a simple data association step is developed that facilitates the tracking of multiple vehicles simultaneously and independently. The system is extended to a moving platform via developed mappings from the radar frame-of-reference to an inertial frame, and vice versa. An Extended Kalman Filter is developed to estimate the platform’s state from limited, noisy sensor measurements. The results show that the developed system is successful in detecting and tracking single and multiple vehicles when using real-world data from the radar sensor. The Extended Kalman Filter is also shown to provide a suitable state estimate when using real-world data. Testing of the two systems jointly is advised for future research.
Advisors/Committee Members: Rogers, Jonathan (advisor), Costello, Mark (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: Vehicle tracking; Ultra-wideband; Radar; Particle filter
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APA (6th Edition):
Leonard, A. (2016). Vehicle tracking using ultra-wideband radar. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56265
Chicago Manual of Style (16th Edition):
Leonard, Andrew. “Vehicle tracking using ultra-wideband radar.” 2016. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/56265.
MLA Handbook (7th Edition):
Leonard, Andrew. “Vehicle tracking using ultra-wideband radar.” 2016. Web. 08 Mar 2021.
Vancouver:
Leonard A. Vehicle tracking using ultra-wideband radar. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/56265.
Council of Science Editors:
Leonard A. Vehicle tracking using ultra-wideband radar. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56265
Georgia Tech
9.
Neumann, Marcel Fabian.
Edge-based machine monitoring architectures incorporating OPC UA controller data.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/63625
► The usage of external sensors for machine health monitoring is becoming more popular. A variety of methods for monitoring the condition of CNC machines have…
(more)
▼ The usage of external sensors for machine health monitoring is becoming more popular. A variety of methods for monitoring the condition of CNC machines have been developed by researchers. This study focuses on automation principles for these methods connecting an edge device for sensor data acquisition to the OPC UA controller server of a CNC machine. For this purpose, two different architectures are developed and analyzed in experiments to identify the limitations regarding computational power and time delays. Use cases show the impact of these limitations on machine health monitoring. Additionally, an automated bearing health monitoring algorithm is developed to show the benefits of both architectures.
Advisors/Committee Members: Saldana, Christopher (advisor), Kurfess, Thomas (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: OPC UA; Machine health
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APA (6th Edition):
Neumann, M. F. (2020). Edge-based machine monitoring architectures incorporating OPC UA controller data. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63625
Chicago Manual of Style (16th Edition):
Neumann, Marcel Fabian. “Edge-based machine monitoring architectures incorporating OPC UA controller data.” 2020. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/63625.
MLA Handbook (7th Edition):
Neumann, Marcel Fabian. “Edge-based machine monitoring architectures incorporating OPC UA controller data.” 2020. Web. 08 Mar 2021.
Vancouver:
Neumann MF. Edge-based machine monitoring architectures incorporating OPC UA controller data. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/63625.
Council of Science Editors:
Neumann MF. Edge-based machine monitoring architectures incorporating OPC UA controller data. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63625
Georgia Tech
10.
Bayer, Fabia Ute.
Outer race fault identification under unknown rotational speed and low sampling rate.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/63646
► Rolling element bearing fault identification is an important sub-topic of predictive health monitoring. Most state-of-the-art fault identification approaches utilize bearing configuration, shaft rotational speed and/or…
(more)
▼ Rolling element bearing fault identification is an important sub-topic of predictive health monitoring. Most state-of-the-art fault identification approaches utilize bearing configuration, shaft rotational speed and/or bearing harmonics that are only present in the spectrum if the sampling rate is sufficiently high. In industrial application, these three factors are often not available. This thesis investigates the performance of various state-of-the-art bearing fault identification approaches under unknown rotational speed and bearing configuration for a range of sampling rates. The aim of this thesis is to give recommendations for effective bearing fault identification under uncertain low-sampling rate circumstances. The recommendations are based on simulated and experimental data.
Advisors/Committee Members: Saldana, Christopher (advisor), Kurfess, Thomas (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: BPFO defect; Sampling rate
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APA (6th Edition):
Bayer, F. U. (2020). Outer race fault identification under unknown rotational speed and low sampling rate. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63646
Chicago Manual of Style (16th Edition):
Bayer, Fabia Ute. “Outer race fault identification under unknown rotational speed and low sampling rate.” 2020. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/63646.
MLA Handbook (7th Edition):
Bayer, Fabia Ute. “Outer race fault identification under unknown rotational speed and low sampling rate.” 2020. Web. 08 Mar 2021.
Vancouver:
Bayer FU. Outer race fault identification under unknown rotational speed and low sampling rate. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/63646.
Council of Science Editors:
Bayer FU. Outer race fault identification under unknown rotational speed and low sampling rate. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63646
Georgia Tech
11.
Cloward, Jacob Austin.
Development and implementation of a workflow for measurement of surface temperature by means of infrared thermography and Thermodynamic and economic analysis of the incorporation of the supercritical carbon dioxide Brayton cycle into combined cycle power plants.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/64078
► In part one a workflow for the measurement of surface temperature by means of infrared thermography using a semi empirical equation based on Planck's law…
(more)
▼ In part one a workflow for the measurement of surface temperature by means of infrared thermography using a semi empirical equation based on Planck's law of radiation is designed and implemented in Matlab. Procedures for acquiring scaled irradiance from camera detector signal using pixelwise radiometric self calibration and nonuniformity correction are described and implemented. Thermographic images are rectified using a plane projective transformation to transform pixel location into physical locations on the object plane. Parameters of the semi empirical equation for the determination of temperature from scaled irradiance are precalibrated. A procedure for the determination of surface emissivity is designed and employed to determine the emissivity of various surface coatings. A method for in situ calibration of the relationship between temperature and scaled irradiance is shown and used for subsequent measurements. Experiments are carried out for validation of the technique. For the in situ adjustment of a single parameter with the support of a single thermocouple, a measurement uncertainty of 2 K is found, and for the case of two parameter adjustment with support from two thermocouples, a measurement uncertainty of 1.2 K is found.
In part two the profitability of several combined cycle power plant layouts incorporating supercritical carbon dioxide Brayton bottoming cycles is investigated comparative to traditional combined cycle power plants. Estimated levelized cost of electricity and steady state design point thermodynamic analysis are used to determine profitability. Five supercritical carbon dioxide cycle layouts are investigated both as a replacement to and in tandem with the traditional steam Rankine bottoming cycle. High uncertainty in cost estimation and limitations of the constraints in the thermodynamic model prevent a definitive conclusion, but the results suggest that the incorporation of supercritical carbon dioxide cycles into combined cycle power plants has the potential to improve upon traditional combined cycle power plants in terms of profitability.
Advisors/Committee Members: Ranjan, Devesh (advisor), Loutzenhiser, Peter (committee member), Sawodny, Oliver (committee member), Poser, Rico (committee member).
Subjects/Keywords: Infrared thermography; Surface temperature measurement; In situ calibration; Pixelwise radiometric self calibration; Nonuniformity correction; Plane projective transformation
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APA (6th Edition):
Cloward, J. A. (2020). Development and implementation of a workflow for measurement of surface temperature by means of infrared thermography and Thermodynamic and economic analysis of the incorporation of the supercritical carbon dioxide Brayton cycle into combined cycle power plants. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64078
Chicago Manual of Style (16th Edition):
Cloward, Jacob Austin. “Development and implementation of a workflow for measurement of surface temperature by means of infrared thermography and Thermodynamic and economic analysis of the incorporation of the supercritical carbon dioxide Brayton cycle into combined cycle power plants.” 2020. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/64078.
MLA Handbook (7th Edition):
Cloward, Jacob Austin. “Development and implementation of a workflow for measurement of surface temperature by means of infrared thermography and Thermodynamic and economic analysis of the incorporation of the supercritical carbon dioxide Brayton cycle into combined cycle power plants.” 2020. Web. 08 Mar 2021.
Vancouver:
Cloward JA. Development and implementation of a workflow for measurement of surface temperature by means of infrared thermography and Thermodynamic and economic analysis of the incorporation of the supercritical carbon dioxide Brayton cycle into combined cycle power plants. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/64078.
Council of Science Editors:
Cloward JA. Development and implementation of a workflow for measurement of surface temperature by means of infrared thermography and Thermodynamic and economic analysis of the incorporation of the supercritical carbon dioxide Brayton cycle into combined cycle power plants. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64078
Georgia Tech
12.
Page, Lachlan.
Modeling, Simulation, and Control of an Automotive Evaporator.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/64188
► As global climate change continues to affect everyday life, energy efficiency is becoming more crucial. Automotive emissions contribute a sizeable portion of manmade pollution, so…
(more)
▼ As global climate change continues to affect everyday life, energy efficiency is becoming more crucial. Automotive emissions contribute a sizeable portion of manmade pollution, so a shift to "greener" automobiles has become paramount. Since automotive air conditioning systems are one of the biggest energy needs within a vehicle, increasing air conditioning efficiency can reduce the carbon footprint and increase the range of vehicles on the road today.
This paper works towards this goal by focusing on control of an automotive evaporator in tandem with an expansion valve and a compressor. The partial differential equations describing the evaporator thermal dynamics are developed using first principles and are then converted into ordinary differential equations using finite volume discretization. Parameter identification is performed by comparing simulations of the evaporator with physical measurements and minimizing the discrepancies. After the model is validated, a sliding mode controller is developed to regulate the outlet air temperature, and its performance is compared to that of a proportional integral derivative controller similar to what may be currently utilized in production vehicles. The results from simulation indicate that the sliding mode controller operates with better temperature tracking and uses less energy, and both controllers are ready for testing on a physical system.
Advisors/Committee Members: Bras, Bert (advisor), Marta Hatzell (committee member), Tarin-Sauer, Cristina (committee member), Sawodny, Oliver (committee member).
Subjects/Keywords: Air conditioning; Evaporator; Finite colume; PID; Sliding mode controller
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APA (6th Edition):
Page, L. (2020). Modeling, Simulation, and Control of an Automotive Evaporator. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64188
Chicago Manual of Style (16th Edition):
Page, Lachlan. “Modeling, Simulation, and Control of an Automotive Evaporator.” 2020. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/64188.
MLA Handbook (7th Edition):
Page, Lachlan. “Modeling, Simulation, and Control of an Automotive Evaporator.” 2020. Web. 08 Mar 2021.
Vancouver:
Page L. Modeling, Simulation, and Control of an Automotive Evaporator. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/64188.
Council of Science Editors:
Page L. Modeling, Simulation, and Control of an Automotive Evaporator. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64188
Georgia Tech
13.
Somers, Peter.
Short horizon learning-based speed prediction for electric vehicles.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/62752
► The automotive industry is moving more to the development of electric vehicles to meet environmental and emissions restrictions. As a result, much work is be-…
(more)
▼ The automotive industry is moving more to the development of electric vehicles to meet environmental and emissions restrictions. As a result, much work is be- ing done to optimize the efficiency of these vehicles through the use of various control methods such as model predictive control. These efforts often rely on the knowledge of future vehicle speed, however, this information is difficult to predict beyond a trivially small horizon. This work proposes including route in- formation with onboard vehicle data to make longer speed predictions. This is done through the use of a new B-spline prediction concept in conjunction with a custom temporal-spatial neural network (TSNN) structure. The B-Spline pre- diction method is demonstrated first on a simple identification task and then the TSNN is trained on test vehicle data combined with route information from HERE maps. The TSNN was successfully shown to benefit from inclusion of the route information and outperform simple existing prediction methods.
Advisors/Committee Members: Bras, Bert (advisor), Fedorov, Andrei (advisor), Sawodny, Oliver (committee member), Tarín, Cristina (committee member).
Subjects/Keywords: Speed prediction; Electric vehicles; Neural network; Machine learning
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APA (6th Edition):
Somers, P. (2020). Short horizon learning-based speed prediction for electric vehicles. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62752
Chicago Manual of Style (16th Edition):
Somers, Peter. “Short horizon learning-based speed prediction for electric vehicles.” 2020. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/62752.
MLA Handbook (7th Edition):
Somers, Peter. “Short horizon learning-based speed prediction for electric vehicles.” 2020. Web. 08 Mar 2021.
Vancouver:
Somers P. Short horizon learning-based speed prediction for electric vehicles. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/62752.
Council of Science Editors:
Somers P. Short horizon learning-based speed prediction for electric vehicles. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62752
Georgia Tech
14.
Seitz, Benjamin.
Methodology for efficiently establishing processing-structure-property relationships for additive-manufactured age-hardened alloys.
Degree: MS, Mechanical Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/60405
► In Additive Manufacturing (AM) of Inconel 718 the main focus lies on the primary solidification occurring in the build. The next critical processing step for…
(more)
▼ In Additive Manufacturing (AM) of Inconel 718 the main focus lies on the primary solidification occurring in the build. The next critical processing step for age-hardened alloys is the post-built heat treatment. Since diffusivity depends on the spatial distribution of the elements, the solution treatment and age parameter established for conventionally manufactured Inconel 718 components will likely not be optimal for Additive Manufactured components. This study specifically focuses on developing methods to rapidly establish the post-built heat treatment for age-hardened alloys. It will be showcased on Inconel 718 fabricated by Electron Beam Melting (EBM). The method incorporates as well as reveals challenges and considerations that go along with the unique processing route of AM. Based on a thorough literature review on Inconel 718, Processing-Structure-Property-Performance (PSPP) relations and Electron Beam Melting, a PSPP chart is outlined and used to detect further research goals. It is recognized that the work on systematically evaluating and improving the influence on mechanical properties is most efficiently conducted by utilizing post-processing parameter. After identifying promising post-processing parameter in solution treatment and aging, a material library is defined based on a selection of strain-rate jump tests which are found to be advantageous based on the demand of AM and efficiency considerations. An efficient test geometry enables evaluating strucutral and property features in the direct vicinity of each other. Design of Experiments has shown to be useful for establishing efficient test matrixes on post-built heat treatment parameter. Analyzing the data revealed major porosity concerns in the AM feedstock material which are found to detrimentally affect the material’s ductility.
Advisors/Committee Members: Neu, Richard W. (advisor), McDowell, David L. (committee member), Schmauder, Siegfried (committee member), Sawodny, Oliver (committee member).
Subjects/Keywords: Additive manufacturing; Inconel 718; Heat treatment
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APA (6th Edition):
Seitz, B. (2016). Methodology for efficiently establishing processing-structure-property relationships for additive-manufactured age-hardened alloys. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60405
Chicago Manual of Style (16th Edition):
Seitz, Benjamin. “Methodology for efficiently establishing processing-structure-property relationships for additive-manufactured age-hardened alloys.” 2016. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/60405.
MLA Handbook (7th Edition):
Seitz, Benjamin. “Methodology for efficiently establishing processing-structure-property relationships for additive-manufactured age-hardened alloys.” 2016. Web. 08 Mar 2021.
Vancouver:
Seitz B. Methodology for efficiently establishing processing-structure-property relationships for additive-manufactured age-hardened alloys. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/60405.
Council of Science Editors:
Seitz B. Methodology for efficiently establishing processing-structure-property relationships for additive-manufactured age-hardened alloys. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/60405
Georgia Tech
15.
Gaddes, Daniel William.
The effects of pulsed charging on lithium ion cells.
Degree: MS, Mechanical Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/56262
► As part of this thesis, the effects of pulsed charging on lithium-ion batteries were investigated. Pulsed charging is an alternative method of charging batteries in…
(more)
▼ As part of this thesis, the effects of pulsed charging on lithium-ion batteries were investigated. Pulsed charging is an alternative method of charging batteries in which the charge current is interrupted by periods of no current and discharge. It has been suggested in past research that this method can both charge the cell faster and improve the lifetime of the cell through improving the internal kinetics. Based on past literature, influential parameters of the pulse protocol were identified. In this thesis these values were tested through both single charge and lifetime measurements to analyze the impact on charge rate and lifetime. Additionally, a mathematical model was developed to analyze the cell under pulsing for internal conditions which cannot be easily measured experimentally. As part of the single charge testing, the pulse parameters that were determined to be most influential, the frequency of the pulses, the magnitude of the charging current, the root mean squared current value, the discharge capacity, and the ratio of discharge capacity to charge capacity, were analyzed. After this, two pulsing plans were selected to be tested to evaluate the impact on aging mechanisms and the lifetime of the cells. These plans were also analyzed within an electrochemical model, based on the Doyle, Fuller, Newman model to analyze any potential differences on the internal kinetics. The results of these tests were compared to cells charged under the constant current constant voltage condition, using an equivalent mean current for all tests and one hour to charge the cell. The results indicated that pulses with constant currents and pulse duration do not produce positive effects, as all parameters are dominated by the higher current magnitude required by the pulse method to maintain an equivalent mean current. Preliminary analysis of a different pulsing plan, in which the current begins high but decreases as the cell charges does result in a greater capacity before reaching the upper voltage limit, as well as a greater capacity within one hour, and is a potential area for further research.
Advisors/Committee Members: Joshi, Yogendra (advisor), Kohl, Paul (committee member), Lee, Seung (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: Lithium-ion; Pulsed charging; Electrochemical; Model
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APA (6th Edition):
Gaddes, D. W. (2016). The effects of pulsed charging on lithium ion cells. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56262
Chicago Manual of Style (16th Edition):
Gaddes, Daniel William. “The effects of pulsed charging on lithium ion cells.” 2016. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/56262.
MLA Handbook (7th Edition):
Gaddes, Daniel William. “The effects of pulsed charging on lithium ion cells.” 2016. Web. 08 Mar 2021.
Vancouver:
Gaddes DW. The effects of pulsed charging on lithium ion cells. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/56262.
Council of Science Editors:
Gaddes DW. The effects of pulsed charging on lithium ion cells. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56262
16.
Roeder, Alexander Aryn.
Transient simulation of ammonia-water mixture desorption for absorption heat pumps & optimal control of an electric vehicle cabin air conditioning system.
Degree: MS, Mechanical Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/60785
► Part one of the thesis presents a mathematical framework to simulate the transient response of a desorber for small-capacity ammonia-water absorption heat pumps. The model…
(more)
▼ Part one of the thesis presents a mathematical framework to simulate the transient response of a desorber for small-capacity ammonia-water absorption heat pumps. The model is based on dynamic analysis of conservation equations and accounts for the thermal capacitances in the heat exchanger wall material and fluid volumes. The numerical solver and its implementation are presented. Improved computational performance is achieved by using advanced solvers for stiff differential-algebraic equations. The model is utilized to predict desorber performance at steady-state conditions and to simulate the transient response of the component to ramping or perturbation of input parameters from steady state. It can also be used to develop reduced-order models suitable for the design of control strategies to optimize system performance. Part two of the thesis presents an optimal control scheme for an electric vehicle cabin air conditioning system. The energy efficient control of a vehicle’s air conditioning (AC) system is of great importance in any modern automobile. However, the goal of maximizing the driving range of battery electric vehicles has increased the interest in sophisticated control strategies. This work presents a control scheme for the air conditioning system of an electric vehicle based on non-linear, constrained optimal control theory with the simultaneous goals of reducing the energy consumption of the AC system and meeting the passengers’ required cabin conditions. Cabin and air system models are derived to define the dynamics of the thermal system. Different formulations of the cabin outlet air temperature available in the literature are explored. From these models, an optimal control problem (OCP) is formulated, with system constraints explicitly considered. The OCP is transformed into a non-linear program using the direct multiple shooting strategy and fourth-order Runge-Kutta method. The open-source IPOPT solver is applied, with the required derivatives provided by the CasADi toolkit. The effectiveness of the proposed optimal control scheme in reducing the energy consumption of the electric vehicle AC system is compared to a simple feedback controller using scenarios with constant and time-varying disturbances.
Advisors/Committee Members: Garimella, Srinivas (advisor), Neitzel, G. Paul (committee member), Sawodny, Oliver (committee member), Säger, Ulf (committee member).
Subjects/Keywords: Transient modeling; Ammonia-water; Absorption heat pumps; Desorber/generator; Optimal control; Electric vehicle; Air conditioning
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APA (6th Edition):
Roeder, A. A. (2018). Transient simulation of ammonia-water mixture desorption for absorption heat pumps & optimal control of an electric vehicle cabin air conditioning system. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60785
Chicago Manual of Style (16th Edition):
Roeder, Alexander Aryn. “Transient simulation of ammonia-water mixture desorption for absorption heat pumps & optimal control of an electric vehicle cabin air conditioning system.” 2018. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/60785.
MLA Handbook (7th Edition):
Roeder, Alexander Aryn. “Transient simulation of ammonia-water mixture desorption for absorption heat pumps & optimal control of an electric vehicle cabin air conditioning system.” 2018. Web. 08 Mar 2021.
Vancouver:
Roeder AA. Transient simulation of ammonia-water mixture desorption for absorption heat pumps & optimal control of an electric vehicle cabin air conditioning system. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/60785.
Council of Science Editors:
Roeder AA. Transient simulation of ammonia-water mixture desorption for absorption heat pumps & optimal control of an electric vehicle cabin air conditioning system. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60785
17.
Waters, Thomas Robert.
Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds.
Degree: MS, Mechanical Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/59310
► Part 1 Driver assistance systems show the potential to increase the fuel economy and optimize the range of standard and electric vehicles. Eco-driving focused systems…
(more)
▼ Part 1
Driver assistance systems show the potential to increase the fuel economy and optimize the range of standard and electric vehicles. Eco-driving focused systems optimize velocity trajectories with respect to energy consumption and suggest these optimized speeds to drivers with the goal of reducing overall energy consumption. Because the systems have no direct control over vehicle behavior, the driver’s inclination to follow the commands is important to their effectiveness. This can be improved by personalizing the velocity commands to suit an individual’s driving behavior, requiring a model capable of accurately predicting styles of individual drivers. Two methods for identifying, modeling, and predicting driver behavior using driving data time-series are investigated. The first, pattern recognition-based approach breaks down the data into homogeneous segments using heuristic, dynamic programming, and bottom-up methods. Segments are grouped based on acceleration behavior and used, in conjunction with function-fit regression and system identification methods, to construct models describing driving behavior. Contrary to the first approach, the second, machine learning based method constructs a model using an entire time-series by analyzing relationships between multiple variables. Finally, each method is evaluated in it’s ability to accurately predict driver acceleration and velocity behavior. Part 2
Enforcing multiple, sometimes conflicting control objectives is a challenge present in modern advanced driver assistance systems. Drivers are capable of activating multiple modules simultaneously where safety must be guaranteed at all times. Examples includes adaptive speed regulation, where the vehicle must achieve a desired speed while maintaining a safe distance to any preceding vehicle, and lane keeping, where a vehicle is kept safely within the bounds of a lane. Provably safe algorithms for both adaptive speed regulation and lane keeping are introduced and used to run experiments on two robotic testbeds. The underlying algorithms are based on control Lyapunov functions for performance, a control barrier functions for safety, and a real-time quadratic program for mediating the conflicting demands between the two. The Robotarium, a robotic testbed that allows students, as well as researchers less experienced with hardware, to experiment with advanced control concepts in a safe and standardized environment, is compared with a more expensive OptiTrack based Khepera robot testbed.
Advisors/Committee Members: Ames, Aaron (advisor), Rogers, Jonathon (advisor), Sawodny, Oliver (advisor), Wohlhaupter, Uli (advisor).
Subjects/Keywords: Driver modeling; Nonlinear control
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APA (6th Edition):
Waters, T. R. (2018). Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59310
Chicago Manual of Style (16th Edition):
Waters, Thomas Robert. “Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds.” 2018. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/59310.
MLA Handbook (7th Edition):
Waters, Thomas Robert. “Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds.” 2018. Web. 08 Mar 2021.
Vancouver:
Waters TR. Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/59310.
Council of Science Editors:
Waters TR. Adaptive driver modeling using machine learning algorithms for the energy optimal planning of velocity trajectories for electric vehicles and realizing simultaneous lane keeping and adaptive speed regulation on accessible mobile robot testbeds. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59310
18.
Liu, Xiaoshu.
Numerical investigation of affordable 2D lidar sensors for autonomous driving under a specially-structured driving environment.
Degree: MS, Mechanical Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/59232
Subjects/Keywords: Lidar; Autonomous driving; Kalman filter
…pen project done in
Georgia Tech.
10
II. BACKGROUND
Both lab tests and field tests are…
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APA (6th Edition):
Liu, X. (2017). Numerical investigation of affordable 2D lidar sensors for autonomous driving under a specially-structured driving environment. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59232
Chicago Manual of Style (16th Edition):
Liu, Xiaoshu. “Numerical investigation of affordable 2D lidar sensors for autonomous driving under a specially-structured driving environment.” 2017. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/59232.
MLA Handbook (7th Edition):
Liu, Xiaoshu. “Numerical investigation of affordable 2D lidar sensors for autonomous driving under a specially-structured driving environment.” 2017. Web. 08 Mar 2021.
Vancouver:
Liu X. Numerical investigation of affordable 2D lidar sensors for autonomous driving under a specially-structured driving environment. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/59232.
Council of Science Editors:
Liu X. Numerical investigation of affordable 2D lidar sensors for autonomous driving under a specially-structured driving environment. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59232
19.
Tritschler, Niklas Benedikt.
Developing a device for automatic monitoring of rolling element bearing conditions.
Degree: MS, Mechanical Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/61772
► In most instances, rotating machines have a unique vibration signature that relates to their health status. Therefore, vibration analysis is a powerful tool for predictive…
(more)
▼ In most instances, rotating machines have a unique vibration signature that relates to their health status. Therefore, vibration analysis is a powerful tool for predictive maintenance. This is especially true for bearings that are a frequent cause of machine breakdown. Presently, bearing analysis of many machines results in significant cost and complexity due to a large amount of vibration data that must be analyzed. The purpose of this thesis is to develop a vibration analysis system that locally collects vibration data, analyzes it automatically and provides feedback as to the bearing condition.
Advisors/Committee Members: Kurfess, Thomas (advisor), Saldana, Christopher (committee member), Sawodny, Oliver (committee member), Tarín, Christina (committee member).
Subjects/Keywords: Bearing defect analysis; Industry 4.0; Internet of things; Machine health monitoring
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APA (6th Edition):
Tritschler, N. B. (2019). Developing a device for automatic monitoring of rolling element bearing conditions. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61772
Chicago Manual of Style (16th Edition):
Tritschler, Niklas Benedikt. “Developing a device for automatic monitoring of rolling element bearing conditions.” 2019. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/61772.
MLA Handbook (7th Edition):
Tritschler, Niklas Benedikt. “Developing a device for automatic monitoring of rolling element bearing conditions.” 2019. Web. 08 Mar 2021.
Vancouver:
Tritschler NB. Developing a device for automatic monitoring of rolling element bearing conditions. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/61772.
Council of Science Editors:
Tritschler NB. Developing a device for automatic monitoring of rolling element bearing conditions. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61772
20.
Rattay, Jakob S.
Evaluation of the impact of repurposing used electric vehicle batteries for residential energy storage systems.
Degree: MS, Mechanical Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/61647
► Electric vehicles could provide a solution to several major challenges caused by the transportation sector. However, the cost of electric vehicles is a substantial barrier…
(more)
▼ Electric vehicles could provide a solution to several major challenges caused by the transportation sector. However, the cost of electric vehicles is a substantial barrier to overcome. As batteries make up a significant part of this cost, one solution is to create a resale value for the used battery. At the end of its life in the electric vehicle, it is expected that the battery will retain 80% of its originally manufactured capacity. This reduced capacity renders the battery unfit for automobile applications but still provides value for stationary applications such as home energy storage. Previous studies have suggested the economic benefit of home energy storage is small, but these studies also lack diversity in experimental scenarios. Therefore, this thesis proposes a varied boundary condition approach to model the environmental and economic effects of home energy storage battery reuse from electric vehicles and the additive effects of different control schemes. Some of the variations of boundary conditions in this study involve scenarios such as including solar power or the presence of an electric vehicle. Some of the varying control schemes involve repurposing home energy storage to also provide the capabilities of fast-charging electric vehicles or analyzing the self-sufficiency that this home energy storage system provides. The results from this analysis suggest the battery reuse benefits are heavily dependent on the varying scenarios and control schemes, but overall the results agree with past studies in regard to the economic benefits of home energy storage not outweighing the associated costs. However, the results also demonstrate that it is possible to significantly increase the household’s self-sufficiency and that from an economic and environmental perspective, it is far better to reuse electric vehicle batteries in lieu of new batteries for home energy storage solutions.
Advisors/Committee Members: Bras, Bert (advisor), Augenbroe, Godfried (committee member), Sawodny, Oliver (committee member), Tarín, Cristina (committee member).
Subjects/Keywords: Electric vehicle; EV; Reuse; Second use; Home energy storage (HES); Energy storage systems (ESS); Control; Economic feasibility; Ecological impact; Li-ion battery; Model
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APA (6th Edition):
Rattay, J. S. (2018). Evaluation of the impact of repurposing used electric vehicle batteries for residential energy storage systems. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61647
Chicago Manual of Style (16th Edition):
Rattay, Jakob S. “Evaluation of the impact of repurposing used electric vehicle batteries for residential energy storage systems.” 2018. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/61647.
MLA Handbook (7th Edition):
Rattay, Jakob S. “Evaluation of the impact of repurposing used electric vehicle batteries for residential energy storage systems.” 2018. Web. 08 Mar 2021.
Vancouver:
Rattay JS. Evaluation of the impact of repurposing used electric vehicle batteries for residential energy storage systems. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/61647.
Council of Science Editors:
Rattay JS. Evaluation of the impact of repurposing used electric vehicle batteries for residential energy storage systems. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61647
21.
Kortenbruck, Julius.
Tire model identification and development of a tire-road friction observer.
Degree: MS, Mechanical Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/61809
► In order to improve vehicle safety systems and autonomous control of vehicles, the real time knowledge of tire forces and friction coefficient is desirable. The…
(more)
▼ In order to improve vehicle safety systems and autonomous control of vehicles, the real time knowledge of tire forces and friction coefficient is desirable. The tire interaction with the road through the tire contact patch is the only means to control the movement of the vehicle. The goal of this thesis is to develop a nonlinear observer for estimation of the potential of the road friction coefficient during various driving maneuvers. Maneuvers will be performed by a nonlinear 14 degree of freedom vehicle model with independent suspension, which serves as a substitute for a physical vehicle. An Extended Kalman filter is chosen as the observer. Within the observer, the reference vehicle is represented by a nonlinear single-track model. The tire model used is a modified version of the widely known Pacejka Magic Formula tire model. To identify the parameters for the tire model, a gradient based minimization problem is solved to find the tire parameters such that the dynamic characteristics of the single-track model closely match those of the reference vehicle. Once the tire parameters are determined, a similar minimization problem is set up and solved to obtain the parameters for the Extended Kalman Filter. Parameters of the EKF are chosen such that the state estimation closely matches a reference measurement from the complex vehicle simulation model. The resulting observer shows good performance in estimating the friction coefficient during highly nonlinear maneuvers. Some maneuvers are performed that show the estimation of varying road conditions. The performance is governed by the quality of the
- XIV - tire model. When the observer model shows poor performance in capturing the behavior of the reference vehicle, the estimation of the friction coefficient suffers. If the tire is operated in the linear region, the friction coefficient is harder to identify. Improvements in future work can be made by carefully selecting the maneuvers for identifying the tire model, such that a broader range of tire slip and normal load variations is reached.
Advisors/Committee Members: Tsiotras, Panagiotis (advisor), Leamy, Michael (advisor), Ferri, Aldo A. (committee member), Sawodny, Oliver (committee member), Tarin, Cristina (committee member).
Subjects/Keywords: Pacejka; Friction observer; Tire model identification
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kortenbruck, J. (2019). Tire model identification and development of a tire-road friction observer. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61809
Chicago Manual of Style (16th Edition):
Kortenbruck, Julius. “Tire model identification and development of a tire-road friction observer.” 2019. Masters Thesis, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/61809.
MLA Handbook (7th Edition):
Kortenbruck, Julius. “Tire model identification and development of a tire-road friction observer.” 2019. Web. 08 Mar 2021.
Vancouver:
Kortenbruck J. Tire model identification and development of a tire-road friction observer. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/61809.
Council of Science Editors:
Kortenbruck J. Tire model identification and development of a tire-road friction observer. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61809
. 
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