Constrained model predictive control performance assessment based on multi-step prediction error approach

被引：0
作者：
Fan, Feng-Hui [1 ]
Tian, Xue-Min [1 ]
Shang, Lin-Yuan [1 ]
机构：
[1] College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, Shandong
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2015年 / 49卷 / 11期
关键词：
Constraints; Model predictive control (MPC); Multi-step prediction error; Performance assessment;
D O I：
10.16183/j.cnki.jsjtu.2015.11.019
中图分类号：
学科分类号：
摘要：
In this paper, a constrained model predictive control (MPC) performance assessment approach was proposed based on multi-step prediction error. The offset of the system was introduced because of various constraints in the practical industry process. An extended closed-loop potential index was defined accordingly. This approach took the dynamic performance and the tracking performance into consideration. Consequently, it could reflect the performance of constrained MPC system more generally. The simulation example on the Wood-Berry binary distillation column demonstrated the validity of the proposed method. © 2015, Editorial Board of Journal of Shanghai Jiao Tong University. All right reserved.
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页码：1696 / 1700
页数：4
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