meetings - Space Flight Mechanics Committee
meetings - Space Flight Mechanics Committee
meetings - Space Flight Mechanics Committee
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This paper introduces novel analytical guidance solutions for spacecraft relative motion<br />
considering continuous, on-off thrust, and using Relative Orbit Elements. The relative state<br />
vector can be obtained at any given time, accommodating any thrust magnitude, as well as<br />
generic activation times and durations. Relative Orbit Elements geometrically interpret key<br />
aspects of the relative motion, including, for example, the relative ellipse size, and its center<br />
evolution in time. The analytical solutions are tested using a sample guidance thrust profile<br />
based on input-shaping. The use of Relative Orbit Elements shows substantial benefits and<br />
added simplicity with respect to Cartesian Coordinates.<br />
14:50 AAS Multiple Sliding Surface Guidance for Planetary Landing: Tuning and<br />
13-328 Optimization via Reinforcement Learning<br />
Daniel Wibben, The University of Arizona; Brian Gaudet, University of Arizona;<br />
Roberto Furfaro, The University of Arizona; Jules Simo, University of Strathclyde<br />
15:10 Break<br />
A novel non-linear guidance algorithm for planetary landing is proposed and analyzed.<br />
Based on Higher-Order Sliding Control Theory, the Multiple Sliding Surface Guidance<br />
algorithm has been specifically designed to take advantage of the ability to reach the sliding<br />
surface in a finite time. However, after initial analysis, it has been seen that the performance<br />
of MSSG is very sensitive to the choice in guidance gains and is generally sub-optimal.<br />
Reinforcement learning has been used to tune and investigate the behavior of the MSSG<br />
algorithm to find an optimal set of gains for both performance and fuel efficiency.<br />
15:35 AAS Optimal Lunar Landing and Retargeting using a Hybrid Control Strategy<br />
13-329 Daniel Wibben, The University of Arizona; Roberto Furfaro, The University of<br />
Arizona; Ricardo Sanfelice, The University of Arizona<br />
A novel non-linear spacecraft guidance scheme utilizing a hybrid controller for pinpoint<br />
lunar landing and retargeting is presented. The hybrid system approach utilizes the fact that<br />
the logic and behavior of switching guidance laws is inherent in the definition of the<br />
system, thus autonomous retargeting is possible. The presented case utilizes a combination<br />
of a global controller to bring the lander to a predefined reference trajectory, and a local<br />
controller to bring it to the desired point on the lunar surface. The behavior and<br />
performance of the hybrid system is analyzed, with emphasis on the case of autonomous<br />
retargeting.<br />
15:55 AAS Navigating a Crewed Lunar Vehicle Using LiAISON<br />
13-330 Jeff Parker, University of Colorado at Boulder; Jason Leonard, University of<br />
Colorado at Boulder; Rodney Anderson, NASA / Caltech JPL; Ryan McGranaghan,<br />
University of Colorado at Boulder; Kohei Fujimoto, University of Colorado at<br />
Boulder; George Born, University of Colorado at Boulder<br />
This paper examines the benefits of navigating a crewed vehicle between the Earth and the<br />
Moon using both ground tracking and satellite-to-satellite tracking. Linked Autonomous<br />
Interplanetary Satellite Orbit Navigation (LiAISON) is a new technique that has been<br />
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23 rd AAS / AIAA <strong>Space</strong> <strong>Flight</strong> <strong>Mechanics</strong> Meeting