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Laguerre functions based nonlinear model predictive control using multi-model approach

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3 Author(s)
Yong Feng ; School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University, VIC 3001, Australia ; Liuping Wang ; Wenguang Luo

This paper proposes a novel approach of nonlinear model predictive control using multi-model structure. Firstly, a nonlinear discrete time system is locally linearized and represented by a multi-model structure. A local state feedback control is used so that the family of the linear models has the similar dynamics. Then a model predictive control strategy based on Laguerre functions is designed to make each linear system optimal for a given cost function. Finally, a novel switching strategy is proposed to make the multi-model system satisfy the given performances. The simulation results are presented to validate the method.

Published in:

Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE

Date of Conference:

10-13 Nov. 2008