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Automatic differentiation based nonlinear model predictive control of satellites using magneto-torquers

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conference contribution
posted on 11.11.2009, 15:19 by Yi Cao, Wen-Hua ChenWen-Hua Chen
Satellite control using magneto-torquers represents a control challenge combined with strong nonlinearity, variable dynamics and partial controllability. An automatic differentiation based nonlinear model predictive control (NMPC) algorithm is developed in this work to tackle these issues. Based on the previously developed formulation of NMPC, a novel variable sampling time scheme is proposed to combine with the NMPC algorithm so that both control performance, particularly the response speed when the satellite is far away from the desired position, and the closed-loop stability when the satellite is at its equilibrium position can be comfortably satisfied. The proposed approach is demonstrated through nonlinear simulation of a specific satellite case with satisfactory results obtained.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

CAO, Y. and CHEN, W., 2009. Automatic differentiation based nonlinear model predictive control of satellites using magneto-torquers. IN: 4th IEEE Conference on Industrial Electronics and Applications, (ICIEA 2009), Xi'an, China, 25-27 May, pp. 913-918.

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2009

Notes

This is a conference paper [©IEEE]. It is also available from: http://dx.doi.org/10.1109/ICIEA.2009.5138329 Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISBN

9781424427994

Language

en