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University of Washington

1. Reynolds, Taylor Patrick. Computational Guidance and Control for Aerospace Systems.

Degree: PhD, 2021, University of Washington

The objective of this dissertation is to develop new techniques that advance the state of the art in optimization-based trajectory generation. Two complementary techniques are studied. First, explicit trajectory generation computes a single path that connects two boundary conditions. For a general optimal control problem, sequential convex programming is used to design iterative algorithms that solve challenging aerospace problems. The limited power available on a spacecraft has long been at odds with the computationally demanding algorithms required to solve such problems, and so specialized techniques for developing real-time capable implementations of these algorithms are presented. Runtime analysis offers initial evidence that it is possible to solve explicit trajectory optimization problems reliably and fast enough to be considered a viable technology. As an alternative approach, implicit trajectory generation computes a set of functions that implicitly define an entire set of trajectories. By carrying out more extensive offline computations, it is shown that a feasible trajectory can be obtained from a wide array of initial conditions by using numerical integration. Consequently, the required real-time computations are significantly reduced compared to explicit trajectory optimization algorithms. Implicit trajectory generation methods can also offer a stronger theoretical, and offline-certifiable, guarantee that a feasible trajectory will be available for a prescribed set of vehicle conditions. Examples in powered descent and satellite attitude control are used to demonstrate each method. Advisors/Committee Members: Mesbahi, Mehran (advisor).

Subjects/Keywords: Attitude Control; Computational Guidance; Funnel Synthesis; Optimal Control; Powered Descent; Space Systems; Aerospace engineering; Aeronautics and astronautics

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

APA (6th Edition):

Reynolds, T. P. (2021). Computational Guidance and Control for Aerospace Systems. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/46722

Chicago Manual of Style (16th Edition):

Reynolds, Taylor Patrick. “Computational Guidance and Control for Aerospace Systems.” 2021. Doctoral Dissertation, University of Washington. Accessed April 17, 2021. http://hdl.handle.net/1773/46722.

MLA Handbook (7th Edition):

Reynolds, Taylor Patrick. “Computational Guidance and Control for Aerospace Systems.” 2021. Web. 17 Apr 2021.

Vancouver:

Reynolds TP. Computational Guidance and Control for Aerospace Systems. [Internet] [Doctoral dissertation]. University of Washington; 2021. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/1773/46722.

Council of Science Editors:

Reynolds TP. Computational Guidance and Control for Aerospace Systems. [Doctoral Dissertation]. University of Washington; 2021. Available from: http://hdl.handle.net/1773/46722


Utah State University

2. Moesser, Travis J. Guidance and Navigation Linear Covariance Analysis for Lunar Powered Descent.

Degree: MS, Mechanical and Aerospace Engineering, 2010, Utah State University

A linear covariance analysis is conducted to assess closed-loop guidance, navigation, and control system (GN&C) performance of the Altair vehicle during lunar powered descent. Guidance algorithms designed for lunar landing are presented and incorporated into the closed-loop covariance equations. Navigation-based event triggering is also included in the covariance formulation to trigger maneuvers and control dispersions. Several navigation and guidance trade studies are presented demonstrating the influence of triggering and guidance and study parameters on the vehicle GN&C performance. Advisors/Committee Members: David K. Geller, R. Rees Fullmer, Barton L. Smith, ;.

Subjects/Keywords: Dispersion; Guidance; Navigation & Control (GNC); Linear Covariance; Lunar Landing; Powered Descent; Trigger; Aerospace Engineering; Mechanical Engineering

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

APA (6th Edition):

Moesser, T. J. (2010). Guidance and Navigation Linear Covariance Analysis for Lunar Powered Descent. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/654

Chicago Manual of Style (16th Edition):

Moesser, Travis J. “Guidance and Navigation Linear Covariance Analysis for Lunar Powered Descent.” 2010. Masters Thesis, Utah State University. Accessed April 17, 2021. https://digitalcommons.usu.edu/etd/654.

MLA Handbook (7th Edition):

Moesser, Travis J. “Guidance and Navigation Linear Covariance Analysis for Lunar Powered Descent.” 2010. Web. 17 Apr 2021.

Vancouver:

Moesser TJ. Guidance and Navigation Linear Covariance Analysis for Lunar Powered Descent. [Internet] [Masters thesis]. Utah State University; 2010. [cited 2021 Apr 17]. Available from: https://digitalcommons.usu.edu/etd/654.

Council of Science Editors:

Moesser TJ. Guidance and Navigation Linear Covariance Analysis for Lunar Powered Descent. [Masters Thesis]. Utah State University; 2010. Available from: https://digitalcommons.usu.edu/etd/654

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