19.11.2014 Views

meetings - Space Flight Mechanics Committee

meetings - Space Flight Mechanics Committee

meetings - Space Flight Mechanics Committee

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

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 />

Page 58<br />

23 rd AAS / AIAA <strong>Space</strong> <strong>Flight</strong> <strong>Mechanics</strong> Meeting

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!