Autonomous Distributed Control of Simultaneous Multiple Spacecraft Proximity Maneuvers
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Authors
McCamish, Shawn Baxter
Romano, Marcello
Yun, Xiaoping
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2010-07
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Abstract
An autonomous distributed control algorithm for multiple spacecraft performing simultaneous close proximity maneuvers has been developed. Examples of these maneuvers include automated on-orbit inspection, assembly, or servicing. The proposed control algorithm combines the control effort effi- ciency of the Linear Quadratic Regulator (LQR) and the robust collision avoidance capability of the Artificial Potential Function (APF) method. The LQR control effort serves as the attractive force toward goal positions, while APF-based repulsive functions provide collision avoidance for both fixed and moving obstacles. Comprehensive validation and performance evaluation of the control algorithm is conducted by numerical simulations. The simulation results show the developed LQR/APF algorithm to be both robust and efficient for controlling multiple spacecraft during simultaneous docking maneuvers.
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The article of record may be found at http://dx.doi.org/10.1109/TASE.2009.2039010
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McCamish, Shawn Baxter, Marcello Romano, and Xiaoping Yun. "Autonomous distributed control of simultaneous multiple spacecraft proximity maneuvers." IEEE Transactions on Automation Science and Engineering 7.3 (2010): 630-644.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.