Robust fault tolerant control of distributed networked control systems with variable structure

被引:21
|
作者
Ge, Yang [1 ,2 ,3 ]
Wang, Jingcheng [1 ,2 ]
Zhang, Langwen [4 ]
Wang, Bohui [1 ,2 ]
Li, Chuang [5 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, 2-213 SEIEE,800 Dong Chuan Rd, Shanghai 200240, Peoples R China
[2] Minist Educ China, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[3] Shanghai Huawei Technol Co Ltd, Shanghai 201206, Peoples R China
[4] S China Univ Technol, Coll Automat Sci & Technol, Guangzhou 510641, Guangdong, Peoples R China
[5] Hainan Univ, Sch Mech & Elect Engn, Haikou 570228, Peoples R China
基金
中国国家自然科学基金;
关键词
Distributed networked control systems; Robust control; Fault tolerant control; Variable structure; H-INFINITY CONTROL; RANDOM COMMUNICATION DELAYS; DISCRETE-TIME-SYSTEMS; OUTPUT-FEEDBACK; LINEAR-SYSTEMS; STABILIZATION; PERFORMANCE; INFORMATION; STABILITY; DESIGN;
D O I
10.1016/j.jfranklin.2016.05.005
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 studies the robust fault tolerant control problem of distributed network control systems (DNCSs). DNCSs are defined as the networked control systems (NCSs) consist of several sub-systems. Each sub-system contains its own sensor, controller and actuator. This kind of systems widely exist in the real world, such as the urban water supply network, smart grid and so on. Three main aspects of DNSCs are investigated in this paper. Firstly, we consider the variable structure problem of DNCSs. Meanwhile, the network problems including time delays, packet-dropouts and quantization errors are considered. Finally, the actuator fault tolerant control problem due to the possible poor working environment is also studied. A series of two-mode-dependent controllers are proposed to stabilize such DNCSs and meet the robust closed loop performance. By using the Lyapunov Krasovskii (L-K) function, sufficient conditions on the existence of such controllers are presented in terms of bilinear matrix inequalities (BMIs). A cone complementarity linearization (CCL) algorithm is given to solve proposed BMIs. Finally, a simulation example is exploited to show the effectiveness of the proposed method. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2553 / 2575
页数:23
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