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Co‐ordination and control of distributed spacecraft systems using convex optimization techniques
Author(s) -
Tillerson Michael,
Inalhan Gokhan,
How Jonathan P.
Publication year - 2002
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.683
Subject(s) - spacecraft , actuator , trajectory , trajectory optimization , convex optimization , control engineering , computer science , control (management) , nonlinear programming , linear programming , optimization problem , optimal control , control theory (sociology) , engineering , nonlinear system , mathematical optimization , aerospace engineering , regular polygon , algorithm , mathematics , physics , geometry , astronomy , artificial intelligence , quantum mechanics
Abstract Formation flying of multiple spacecraft is an enabling technology for many future space science missions. However, the co‐ordination and control of these instruments poses many difficult design challenges. This paper presents fuel/time‐optimal control algorithms for a co‐ordination and control architecture that was designed for a fleet of spacecraft. This architecture includes low‐level formation‐keeping algorithms and a high‐level fleet planner that creates trajectories to re‐size or re‐target the formation. The trajectory and formation‐keeping optimization algorithms are based on the solutions of linear and integer programming problems. The result is a very flexible optimization framework that can be used off‐line to analyse various aspects of the mission design and in real time as part of an onboard autonomous formation flying control system. The overall control approach is demonstrated using a nonlinear simulation environment that includes realistic measurement noises, disturbances, and actuator nonlinearities. Copyright © 2002 John Wiley & Sons, Ltd.