Partially decoupled approach of extended non-minimal state space predictive functional control for MIMO processes

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• 作者：Ridong Zhang^a ; ^b ; Anke Xue^a ; Shuqing Wang^b ; Jianming Zhang^b ; ^{jmzhang@csc.zju.edu.cn} ; Furong Gao^c
• 关键词：Multivariable processes ; Predictive functional control ; State space model ; Closed-loop control performance
• 刊名：Journal of Process Control
• 出版年：2012
• 期刊代码：106_09591524
• 类别：et
• 出版时间：June, 2012
• 卷：22
• 期：5
• 页码：837-851
• 文件大小：2227 K

摘要

This paper presents a partially decoupled design of the state space predictive functional control for MIMO processes. The multivariable process is first treated into MISO process by a simple Cramer's rule solution to linear equations which provides a balance between model complexity and control system design, and then the derived MISO process based extended state space predictive functional control is presented. The overall design of the controller enables the controller to consider both the process state dynamics and the output dynamics, thus improved control performance for tracking set-points and disturbance rejection is resulted. The proposed controller is tested on both model match and model mismatch cases to demonstrate its superiority. In addition, a closed-form of transfer function representation that facilitates frequency analysis of the control system is provided to give further insight into the proposed method.