Fuel optimal maneuvers for multiple spacecraft formation reconfiguration using multi-agent optimization
Fuel optimal maneuvers for multiple spacecraft formation reconfiguration using multi-agent optimization
The Air Force Research Laboratory has identified multiple spacecraft formation flying as an enabling technology for several future space missions. A key benefit of formation flying is the ability to reconfigure the spacecraft formation to achieve different mission objectives. In this paper, generation of fuel optimal manoeuvres for spacecraft formation reconfiguration is modelled and analysed 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. The proposed multi-agent optimal control methodology uses calculus of variation, task assignment, and parameter optimization at different stages of the optimization process. This optimization algorithm employs a distributed computational architecture. In addition, the task assignment algorithm, which guarantees the global optimal assignment of agents, is constructed using the celebrated principle of optimality from dynamic programming. A communication protocol is developed to facilitate decentralized decision making among agents. Simulation results are included to illustrate the efficacy of the proposed multi-agent optimal control algorithm for fuel optimal spacecraft formation reconfiguration
243-283
Yang, Guang
19f7479e-304e-40df-9504-bd3770ea3adf
Yang, Qingsong
5d8bc8c1-cc40-42d7-a0f0-61f45ba49196
Kapila, Vikram
36cf0385-3ee4-45af-833d-e784573ded6f
Palmer, Daniel
dc9ccd4e-4cca-4e13-acb8-1393d0a9b55e
Vaidyanathan, Ravi
246a8aa2-1e70-4543-9055-0581ae00f30a
2002
Yang, Guang
19f7479e-304e-40df-9504-bd3770ea3adf
Yang, Qingsong
5d8bc8c1-cc40-42d7-a0f0-61f45ba49196
Kapila, Vikram
36cf0385-3ee4-45af-833d-e784573ded6f
Palmer, Daniel
dc9ccd4e-4cca-4e13-acb8-1393d0a9b55e
Vaidyanathan, Ravi
246a8aa2-1e70-4543-9055-0581ae00f30a
Yang, Guang, Yang, Qingsong, Kapila, Vikram, Palmer, Daniel and Vaidyanathan, Ravi
(2002)
Fuel optimal maneuvers for multiple spacecraft formation reconfiguration using multi-agent optimization.
International Journal of Robust and Nonlinear Control, 12 (2-3), .
(doi:10.1002/rnc.684).
Abstract
The Air Force Research Laboratory has identified multiple spacecraft formation flying as an enabling technology for several future space missions. A key benefit of formation flying is the ability to reconfigure the spacecraft formation to achieve different mission objectives. In this paper, generation of fuel optimal manoeuvres for spacecraft formation reconfiguration is modelled and analysed 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. The proposed multi-agent optimal control methodology uses calculus of variation, task assignment, and parameter optimization at different stages of the optimization process. This optimization algorithm employs a distributed computational architecture. In addition, the task assignment algorithm, which guarantees the global optimal assignment of agents, is constructed using the celebrated principle of optimality from dynamic programming. A communication protocol is developed to facilitate decentralized decision making among agents. Simulation results are included to illustrate the efficacy of the proposed multi-agent optimal control algorithm for fuel optimal spacecraft formation reconfiguration
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Published date: 2002
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Local EPrints ID: 45710
URI: http://eprints.soton.ac.uk/id/eprint/45710
ISSN: 1049-8923
PURE UUID: db498d01-2353-47ec-944c-292ee0c75882
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Date deposited: 17 Apr 2007
Last modified: 15 Mar 2024 09:12
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Author:
Guang Yang
Author:
Qingsong Yang
Author:
Vikram Kapila
Author:
Daniel Palmer
Author:
Ravi Vaidyanathan
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