MPC for LPV systems using perturbation on control input strategy

In this paper, a model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is proposed. The proposed algorithm consists of two steps. The first step is derived by using parameter-dependent Lyapunov function and the second step is derived by using the perturbation on control...

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Bibliographic Details
Published inComputer Aided Chemical Engineering Vol. 31; pp. 350 - 354
Main Authors Bumroongsri, Pornchai, Kheawhom, Soorathep
Format Book Chapter
LanguageEnglish
Published 2012
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ISBN9780444595058
0444595058
ISSN1570-7946
DOI10.1016/B978-0-444-59507-2.50062-7

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Summary:In this paper, a model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is proposed. The proposed algorithm consists of two steps. The first step is derived by using parameter-dependent Lyapunov function and the second step is derived by using the perturbation on control input strategy. An overall algorithm is proved to guarantee robust stability. The controller design is illustrated with a case study of continuous stirred-tank reactor. Comparisons with other MPC algorithms for LPV systems have been undertaken. The results show that the proposed algorithm can achieve better control performance.
ISBN:9780444595058
0444595058
ISSN:1570-7946
DOI:10.1016/B978-0-444-59507-2.50062-7