Recursive Subspace-based Predictive Control and Its Application to Fault-tolerant Control

被引：4
|
作者：
Gao, Jingjing [1 ]
Yang, Xu [1 ]
Li, Linlin [1 ]
Luo, Hao [2 ]
Ding, Steven X. [3 ]
Zhang, Kai [1 ]
Peng, Kaixiang [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[2] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Heilongjiang, Peoples R China
[3] Univ Duisburg Essen, Inst Automat Control & Complex Syst, Fac Engn, D-47057 Duisburg, Germany
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 24期
基金：
中国国家自然科学基金; 北京市自然科学基金; 国家重点研发计划;
关键词：
Data-driven predictive control; closed-loop subspace predictor; recursive algorithm; fault-tolerant control; SYSTEM-IDENTIFICATION;
D O I：
10.1016/j.ifacol.2018.09.651
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the data-driven realization of predictive controllers, and its application to fault-tolerant control. With the aid of subspace identification method, the subspace predictor is first derived in the closed-loop setup. To cope with the change in the process, a recursive algorithm is adopted to recursive update the subspace matrices. The data-driven predictive controller is designed by seeking the solution of the quadratic programming problem, without the information of the predesigned controller. Then, it is applied to fault-tolerant control by implementing the recursive subspace predictor. In the end, the effectiveness of the proposed method is verified by a case study on the three-tank system. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：696 / 702
页数：7
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