Model predictive control synthesis algorithm based on polytopic terminal region for Hammerstein-Wiener nonlinear systems

An improved model predictive control algorithm is proposed for Hammerstein-Wiener nonlinear systems. The proposed synthesis algorithm contains two parts: offline design the polytopic invariant sets, and online solve the min-max optimization problem. The polytopic invariant set is adopted to replace...

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Bibliographic Details
Published in:Journal of Central South University 2017-09, Vol.24 (9), p.2028-2034
Main Authors: Li, Yan, Chen, Xue-yuan, Mao, Zhi-zhong
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Control theory
Design optimization
Engineering
Invariants
Linear control
Mathematical models
Metallic Materials
Nonlinear control
Nonlinear systems
Predictive control
Synthesis
Wind tunnels
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Summary:An improved model predictive control algorithm is proposed for Hammerstein-Wiener nonlinear systems. The proposed synthesis algorithm contains two parts: offline design the polytopic invariant sets, and online solve the min-max optimization problem. The polytopic invariant set is adopted to replace the traditional ellipsoid invariant set. And the parameter-correlation nonlinear control law is designed to replace the traditional linear control law. Consequently, the terminal region is enlarged and the control effect is improved. Simulation and experiment are used to verify the validity of the wind tunnel flow field control algorithm.
ISSN:2095-2899
2227-5223
DOI:10.1007/s11771-017-3612-8