The University of Southampton
University of Southampton Institutional Repository

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

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
1049-8923
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
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), 243-283. (doi:10.1002/rnc.684).

Record type: Article

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

This record has no associated files available for download.

More information

Published date: 2002

Identifiers

Local EPrints ID: 45710
URI: http://eprints.soton.ac.uk/id/eprint/45710
ISSN: 1049-8923
PURE UUID: db498d01-2353-47ec-944c-292ee0c75882

Catalogue record

Date deposited: 17 Apr 2007
Last modified: 15 Mar 2024 09:12

Export record

Altmetrics

Contributors

Author: Guang Yang
Author: Qingsong Yang
Author: Vikram Kapila
Author: Daniel Palmer
Author: Ravi Vaidyanathan

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×