Date of Award:
5-2022
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Mechanical and Aerospace Engineering
Committee Chair(s)
David K. Geller
Committee
David K. Geller
Committee
Stephen A. Whitmore
Committee
Matthew W. Harris
Committee
Geordie Richards
Committee
Randall Christensen
Abstract
Rendezvous and proximity operations for automated spacecraft systems requires advanced path planning techniques that are capable of generating optimal paths. Real-world constraints, such as sensor noise and actuator errors, complicate the planning process. Operations also require flight safety considerations in order to prevent the spacecraft from potentially colliding with the associated companion spacecraft. This work proposes a new, ground-based trajectory planning approach that seeks an optimal trajectory while meeting all mission constraints and accounting for vehicle performance and safety requirements. This approach uses a closed-loop linear covariance simulation of the relative trajectory coupled with a genetic algorithm to determine fuel optimal trajectories. Spacecraft safety is addressed using statistical data from the linear covariance model to bound the probability of collision.
Checksum
573847b9fa8b8823533f6046ed4d9f24
Recommended Citation
Stastny, Nathan Bohus, "Optimal Relative Path Planning for Constrained Stochastic Space Systems" (2022). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 8441.
https://digitalcommons.usu.edu/etd/8441
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