Nonlinear transformation strategy of predictive control based on Hammerstein-Wiener inverse model compensation

被引：0
|
作者：
Sun H.-J. [1 ,2 ,3 ]
Zou T. [1 ,2 ]
Zhang X. [1 ,2 ]
Hui C.-W. [4 ]
机构：
[1] Key Laboratory of Networked Control System, Chinese Academy of Sciences, Shenyang, 110016, Liaoning
[2] Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, Liaoning
[3] University of Chinese Academy of Sciences, Beijing
[4] Fushun Petrochemical Company of CNPC, Fushun, 113009, Liaoning
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2020年 / 37卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Hammerstein-Wiener model; Inverse model; Model predictive control; Nonlinear model;
D O I：
10.7641/CTA.2019.90426
中图分类号：
学科分类号：
摘要：
This work focuses on the nonlinearity control system which is descripted by Hammerstein-Wiener model, and proposes a model predictive control strategy bases on compensation of inverse model. During the calculation of optimal control, an anti-model of Wiener nonlinearity unit is used to set the output setting values and the sample values, and in the control process, the controller output is applied to the actual controlled object after the inverse transformation by the static nonlinear Hammerstein link model. Through the above two inverse transformation, which could ensure the output of the controller consistent with the input of the linearity unit in the closed-loop system. Nonlinear transform compensation method is utilized to transform nonlinear process control into linear system control, which avoid large computation and inaccurate prediction in optimizing the nonlinear model directly. Finally, the feasibility and effectiveness of the proposed scheme are verified by simulation. © 2020, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
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页码：705 / 712
页数：7
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