TY - JOUR
T1 - Fuel optimal maneuvers for multiple spacecraft formation reconfiguration using multi-agent optimization
AU - Yang, Guang
AU - Yang, Qingsong
AU - Kapila, Vikram
AU - Palmer, Dan
AU - Vaidyanathan, Ravi
PY - 2001
Y1 - 2001
N2 - In this paper, generation of fuel optimal maneuvers for spacecraft formation reconfiguration is modeled and analyzed as a multi-agent optimal control problem. Multi-agent optimal control is quite different from the traditional optimal control for single agent. Specifically, in addition to fuel optimization for a single agent, multi-agent optimal control necessitates consideration of task assignment among agents for terminal targets in the optimization process. In this paper, we develop an efficient hybrid optimization algorithm to address such a problem. Simulation results illustrate the efficacy of the proposed algorithm.
AB - In this paper, generation of fuel optimal maneuvers for spacecraft formation reconfiguration is modeled and analyzed as a multi-agent optimal control problem. Multi-agent optimal control is quite different from the traditional optimal control for single agent. Specifically, in addition to fuel optimization for a single agent, multi-agent optimal control necessitates consideration of task assignment among agents for terminal targets in the optimization process. In this paper, we develop an efficient hybrid optimization algorithm to address such a problem. Simulation results illustrate the efficacy of the proposed algorithm.
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U2 - 10.1109/CDC.2001.981029
DO - 10.1109/CDC.2001.981029
M3 - Article
AN - SCOPUS:0035711175
SN - 0191-2216
VL - 2
SP - 1083
EP - 1088
JO - Proceedings of the IEEE Conference on Decision and Control
JF - Proceedings of the IEEE Conference on Decision and Control
ER -