Distributed Spacecraft Path Planning and Collision Avoidance via Reciprocal Velocity Obstacle Approach

Channumsin, S., Radice, G. and Ceriotti, M. (2017) Distributed Spacecraft Path Planning and Collision Avoidance via Reciprocal Velocity Obstacle Approach. In: AAS/AIAA Astrodynamics Specialists Conference, Stevenson, WA, USA, 20-24 Aug 2017, pp. 2635-2649. ISBN 9780877036456

Abstract

This paper presents the development of a combined linear quadratic regulation and reciprocal velocity obstacle (LQR/RVO) control algorithm for multiple satellites during close proximity operations. The linear quadratic regulator (LQR) control effort drives the spacecraft towards their target position while the reciprocal velocity obstacle (RVO) provides collision avoidance capabilities. Each spacecraft maneuvers independently, without explicit communication or knowledge in term of collision avoidance decision making of the other spacecraft in the formation. To assess the performance of this novel controller different test cases are implemented. Numerical results show that this method guarantees safe and collision-free maneuvers for all the satellites in the formation and the control performance is presented in term of Δv and fuel consumption.

• Item Type: Conference Proceedings
• Additional Information: This work was funded by Geo-Informatics and Space Technology Development Agency (public organization).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Radice, Dr Gianmarco and Ceriotti, Dr Matteo
• Authors: Channumsin, S., Radice, G., and Ceriotti, M.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISSN: 0065-3438
• ISBN: 9780877036456
• Copyright Holders: Copyright © 2018 American Astronautical Society
• First Published: First published in Proceedings of the 2017 AAS/AIAA Astrodynamics Specialists Conference
• Publisher Policy: Reproduced in accordance with the publisher copyright policy