cao.pdf (345.3 kB)
Automatic differentiation based nonlinear model predictive control of satellites using magneto-torquers
conference contributionposted on 2009-11-11, 15:19 authored 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.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
CitationCAO, 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.
- VoR (Version of Record)
NotesThis 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.