Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(BIBO Stability). Showing records 1 – 2 of 2 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Penn State University

1. Zhao, Haiyu. Passive, Iterative, and Repetitive Control for Flexible Distributed Parameter Systems.

Degree: 2008, Penn State University

Many engineering structures have distributed parameter models governed by partial differential equations. Without damping, distributed flexible structures are not stable due to the infinite number of resonances at natural frequencies. Bounded sinusoidal inputs at these frequencies can cause unbounded response. This thesis shows that Passive Control, Iterative Learning Control (ILC), and Repetitive Learning Control (RLC) can be designed to reduce tracking or regulation errors in response to bounded, periodic inputs. Distributed flexible strings, beams, membranes, plates, axially moving materials, electrostatic microbridges, and flexible whisker contact imagers are studied. Passive control using distributed or boundary damping is proven to stabilize the response of strings, beams, membranes, and plates. Damping ensures bounded response to bounded distributed and boundary inputs. Distributed viscous or Kelvin-Voigt material damping can guarantee pointwise or strong boundedness for strings and beams and weak boundedness for membranes and plates. Translational damping on one boundary stabilizes strings and beams. Damping on part of the boundary can also weakly stabilize the forced response of membranes and plates, provided the damped and undamped boundary normals satisfy certain conditions. For example, damping on half and one side of the boundary is sufficient for circular and rectangular domains, respectively. Iterative Learning Control provides precise tension and speed control of axially moving material systems to enable high speed processing of paper, plastics, fibers, and films. PD tension/speed control is proven to ensure strong and weak boundedness of distributed displacement and tension, respectively, in a single span axially moving material system. ILC provides the same theoretical result with half the speed error and 30% of the tension error of PD control using the same control effort. Repetitive Learning Control is applied to an electrostatic microbridge and a repetitive contact imager. Electrostatic microactuators are used extensively in MEMS sensors, RF switches, and microfluidic pumps. Due to high bandwidth operation, however, reduction of residual vibration using feedback control is difficult to implement. Feedforward RLC is designed, proven stable, and simulated for an electrostatic microbridge under a periodic desired spatial/time trajectory. High residual stresses in the microbridge mean that bending stiffness can be neglected and a pinned string model with uniform loading is appropriate. Squeeze film damping ensures boundedness of the distributed transverse displacement. Offline RLC processing of the average displacement as measured by capacitive sensing updates a waveform generator's parameters. Simulations show a 36% reduction in midspan overshoot under repetitive control. Repetitive contact imaging uses a flexible whisker attached to a two axis robot through a load cell. Assuming small deformations and rotations, the pitch axis decouples from yaw. The yaw axis, under PD control, sweeps… Advisors/Committee Members: Christopher Rahn, Committee Chair/Co-Chair, Kon Well Wang, Committee Member, Qian Wang, Committee Member, Farhan Gandhi, Committee Member.

Subjects/Keywords: Feedforward control; flexible distributed parameter systems; vibration control; BIBO stability

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhao, H. (2008). Passive, Iterative, and Repetitive Control for Flexible Distributed Parameter Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/6805

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Haiyu. “Passive, Iterative, and Repetitive Control for Flexible Distributed Parameter Systems.” 2008. Thesis, Penn State University. Accessed January 21, 2021. https://submit-etda.libraries.psu.edu/catalog/6805.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Haiyu. “Passive, Iterative, and Repetitive Control for Flexible Distributed Parameter Systems.” 2008. Web. 21 Jan 2021.

Vancouver:

Zhao H. Passive, Iterative, and Repetitive Control for Flexible Distributed Parameter Systems. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Jan 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/6805.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao H. Passive, Iterative, and Repetitive Control for Flexible Distributed Parameter Systems. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/6805

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

2. Zamanian, Fatemeh. Nonlinear Controller Design for Regulating Systems.

Degree: PhD, Mechanical Engineering, University of Houston

Presented in this dissertation is a nonlinear controller synthesis methodology based on the inverse Sinusoidal Input Describing Function (SIDF) for a class of regulating systems. The design goal is to improve regulating performance beyond what is achievable by a linear control for a predicted level of disturbance step size. The controller design is executed using open loop frequency domain information and is applicable when the frequency response of a linear design cannot satisfy the designed open loop gain and phase characteristics. The gain and phase differences between the designed open loop frequency response and that of a linear design is treated as SIDF distortions. The inverse describing function approach is employed to identify an isolated explicit nonlinearity that is associated with obtained gain and phase distortions. For this, a computational solution to the inverse SIDF for a broad class of hysteresis or memoryless explicit nonlinearities is developed. The proposed numerical solution uses gain and phase distortions as a function of input amplitude size to identify the nonlinearity, and does not require a priori knowledge of the nonlinearity in the estimation process. The output from the algorithm is a non-parametric model of the nonlinearity from which a parametric model can be recovered. To illustrate the proposed nonlinear controller design technique, the idle speed control of a V-6 fuel injected engine model subject to an external torque load disturbance is considered. The closed loop performance is validated through simulation and the closed loop stability in the sense of the bounded-input-bounded-output (BIBO) is assessed using Circle Theorem. Advisors/Committee Members: Franchek, Matthew A. (advisor), Grigoriadis, Karolos M. (committee member), Rao, Jagannatha R. (committee member), Song, Gangbing (committee member), Provence, Robert S. (committee member).

Subjects/Keywords: Nonlinear Control; Frequency Domain; Inverse Sinusoidal Input Describing Function; H_∞ Linear Control Synthesis; BIBO Stability; Inverse Sinusoidal Input Describing Function; Gain distortions; Phase distortions; Memoryless Nonlinearities

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zamanian, F. (n.d.). Nonlinear Controller Design for Regulating Systems. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/2830

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Zamanian, Fatemeh. “Nonlinear Controller Design for Regulating Systems.” Doctoral Dissertation, University of Houston. Accessed January 21, 2021. http://hdl.handle.net/10657/2830.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Zamanian, Fatemeh. “Nonlinear Controller Design for Regulating Systems.” Web. 21 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Zamanian F. Nonlinear Controller Design for Regulating Systems. [Internet] [Doctoral dissertation]. University of Houston; [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10657/2830.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Zamanian F. Nonlinear Controller Design for Regulating Systems. [Doctoral Dissertation]. University of Houston; Available from: http://hdl.handle.net/10657/2830

Note: this citation may be lacking information needed for this citation format:
No year of publication.

.