Fuel optimal maneuvers for multiple spacecraft formation reconfiguration using multi-agent optimization

Guang Yang, Qingsong Yang, Vikram Kapila, Dan Palmer, Ravi Vaidyanathan

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1083-1088
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume2
DOIs
StatePublished - 2001

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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