Optimal control of nonlinear systems: A predictive control approach

Wen Hua Chen, Donald J. Ballance, Peter J. Gawthrop

Research output: Journal article publicationJournal articleAcademic researchpeer-review

422 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)633-641
Number of pages9
JournalAutomatica
Volume39
Issue number4
DOIs
Publication statusPublished - Apr 2003

Keywords

  • Feedback linearisation
  • Generalised predictive control
  • Nonlinear systems
  • Optimal control
  • Time-domain transient

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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