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Optimal control of nonlinear systems: a predictive control approach

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journal contribution
posted on 2008-10-23, 15:30 authored by Wen-Hua ChenWen-Hua Chen, Donald J. Ballance, Peter J. Gawthrop
A new nonlinear predictive control law for a class of multivariable nonlinear systems is presented in this paper. It is shown that the closed-loop dynamics under this nonlinear predictive controller explicitly depend on design parameters (prediction time and control order). The main features of this result are that an explicitly analytical form of the optimal predictive controller is given, on-line optimisation is not required, stability of the closed-loop system is guaranteed, the whole design procedure is transparent to designers and the resultant controller is easy to implement. By establishing the relationship between the design parameters and time-domain transient, it is shown that the design of an optimal generalised predictive controller to achieve desired time-domain specifications for nonlinear systems can be performed by looking up tables. The design procedure is illustrated by designing an autopilot for a missile.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

CHEN, W-H., BALLANCE D.J. and GAWTHROP, P. J., 2003. Optimal control of nonlinear systems: a predictive control approach. Automatica, 39 (4) pp. 633-641

Publisher

© Elsevier

Publication date

2003

Notes

This is a journal article. It was published in the journal, Automatica [© Elsevier] and the definitive version is available at: http://www.sciencedirect.com/science/journal/00051098

ISSN

0005-1098

Language

  • en