Partially decoupled approach of extended non-minimal state space predictive functional control for MIMO processes |
| |
Authors: | Ridong Zhang Anke Xue Shuqing Wang Jianming Zhang Furong Gao |
| |
Affiliation: | 1. Information and Control Institute, Hangzhou Dianzi University, Hangzhou 310018, PR China;2. National Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems & Control, Zhejiang University, Hangzhou 310027, PR China;3. Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong |
| |
Abstract: | 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. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|