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Download fileAutomatic differentiation based nonlinear model predictive control of satellites using magneto-torquers
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
© IEEEVersion
- VoR (Version of Record)
Publication date
2009Notes
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
9781424427994Language
- en