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

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【作者】 李妍陈雪原毛志忠

【Author】 LI Yan;CHEN Xue-yuan;MAO Zhi-zhong;AVIC Aerodynamics Research Institute,Aviation Key Laboratory of Science and Technology on Aerodynamics of High Speed and High Reynolds Number;School of Information Science and Engineering,Northeastern University;

【机构】 AVIC Aerodynamics Research Institute,Aviation Key Laboratory of Science and Technology on Aerodynamics of High Speed and High Reynolds NumberSchool of Information Science and Engineering,Northeastern University

【摘要】 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.

【Abstract】 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.

【基金】 Project(61074074)supported by the National Natural Science Foundation,China;Project(KT2012C01J0401)supported by the Group Innovation Fund,China
  • 【文献出处】 Journal of Central South University ,中南大学学报(英文版) , 编辑部邮箱 ,2017年09期
  • 【分类号】O231
  • 【被引频次】1
  • 【下载频次】38
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