Fast relative guidance approach for autonomous rendezvous and docking control

Michael Develle; Yunjun Xu; Khanh Pham; Genshe Chen

doi:10.1117/12.885943

20 May 2011 Fast relative guidance approach for autonomous rendezvous and docking control

Michael Develle, Yunjun Xu, Khanh Pham, Genshe Chen

Proceedings Volume 8044, Sensors and Systems for Space Applications IV; 80440F (2011) https://doi.org/10.1117/12.885943
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Relative guidance for autonomous rendezvous and docking is a key technology for many current and future space missions, such as the unmanned on-orbit service. In these missions, it is normally required that the chaser spacecraft can plan a trajectory to the target rapidly, and control the chaser's attitude to align with the docking port of the target. This paper presents a recently developed bio-inspired virtual motion camouflage methodology to compute the optimal or near optimal orbit and attitude trajectories for relative guidance of rendezvous and docking missions rapidly. In this approach, the dimension of the optimization parameters and then the computational cost of the online trajectory planning can be reduced significantly. Multiple simulations are provided to demonstrate the capabilities of the algorithm.

Citation Download Citation

Michael Develle, Yunjun Xu, Khanh Pham, and Genshe Chen "Fast relative guidance approach for autonomous rendezvous and docking control", Proc. SPIE 8044, Sensors and Systems for Space Applications IV, 80440F (20 May 2011); https://doi.org/10.1117/12.885943

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available