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Title: Regulation of magnetically actuated satellites using model predictive control with disturbance modelling
Authors: Wood, Mark
Chen, Wen-Hua
Issue Date: 2008
Publisher: © IEEE
Citation: WOOD, M and CHEN, W-H., 2008. Regulation of magnetically actuated satellites using model predictive control with disturbance modelling IN: IEEE International Conference on Networking, Sensing and Control, 2008. ICNSC 2008, 6-8 April, Sanya, China, pp. 692-697.
Abstract: The problem of magnetic attitude regulation of low Earth orbiting satellites is addressed using model predictive control. This paper considers extending the current literature within this area by combining a standard predictive controller with a suitable disturbance model. For low Earth orbiting satellites the disturbances due to the external environment are very significant and consideration of these torques within the control law is imperative to obtain the best possible controller performance. In order to obtain an estimate of the external disturbance, a state estimator of varying complexity is used. This estimator initially assumes that the disturbances acting on the satellite remain constant with time, but this assumption is then improved to assume harmonic variation of the disturbance. Simulations show that inclusion of a feed-forward element to the control offers notable performance benefits. Interestingly, increasing the complexity of the disturbance model seems to offer little improvement in performance and a simple constant disturbance model provides a suitable solution to the problem while maintaining simplicity of the state estimator.
Description: This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/ 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.
URI: https://dspace.lboro.ac.uk/2134/3967
ISSN: 9781424416868
Appears in Collections:Conference Papers and Contributions (Aeronautical and Automotive Engineering)

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