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Optimal control of nonlinear systems: a predictive control approach
journal contribution
posted on 2008-10-23, 15:30 authored by Wen-Hua ChenWen-Hua Chen, Donald J. Ballance, Peter J. GawthropA 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. 633-641Publisher
© ElsevierPublication date
2003Notes
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/00051098ISSN
0005-1098Language
- en