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Model predictive control for non-linear missiles

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journal contribution
posted on 20.10.2008, 08:08 by Xiao-Bing Hu, Wen-Hua ChenWen-Hua Chen
The present paper reports an attempt of applying model predictive control (MPC) to design an autopilot for a non-linear missile. The non-linear, fast dynamics of the missile raise three issues in the design of an MPC algorithm: the choice of the MPC performance index, in particular the terminal weighting term, to compromise the performance and the stability requirements; loss of the global minimum in the online optimization since it is a nonlinear optimization; and the computational time limitation imposed by the fast sampling requirement. For the first issue, a procedure is developed to determine the terminal weighting term using a new representation of the control sequence in the moving horizon. For the other two issues, a new initial control profile and an associated control strategy are adopted in each optimization routine. It is shown that the new MPC algorithm can guarantee stability, even when a local minimum is attained in the online optimization or the optimization process has to stop owing to the limitation of the sampling time. Simulation results carried on the missile show that good performance and stability are achieved by the new MPC algorithm, whereas four other current MPC algorithms lose their stability.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

HU, X-B. and CHEN, W-H., 2007. Model predictive control for non-linear missiles. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 221 (8), pp. 1077-1089 [DOI: 10.1243/09596518JSCE394]

Publisher

© IMechE / Professional Engineering Publishing

Publication date

2007

Notes

This journal article was published in the journal, Proceedings of the Institution of Mechanical Engineers, Part I [© IMechE] and is also available at: http://journals.pepublishing.com/content/119778

ISSN

0959-6518

Language

en