INTEGRATED FAULT DIAGNOSIS AND FAULT-TOLERANT CONTROL OF NONLINEAR NETWORK CONTROL SYSTEMS

被引：3
|
作者：
Yao, Lina [1 ]
Gu, Zhaoyu [1 ]
Wang, Hao [1 ]
机构：
[1] Zhengzhou Univ, Sch Elect Engn, 100 Sci Ave, Zhengzhou 450001, Peoples R China
来源：
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2020年 / 16卷 / 04期
关键词：
Laplace transform; Nonlinear networked control systems; Time delay; Learning observer; State feedback control; RECONSTRUCTION;
D O I：
10.24507/ijicic.16.04.1385
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new integrated fault diagnosis and fault tolerant control algorithm of nonlinear networked control systems is proposed in this paper. A Laplace transform strategy is used to analyze the random time delay problem. Besides, a new fault diagnosis algorithm based on learning observer is designed. Then, based on the fault diagnosis information, a new state feedback fault-tolerant controller is designed, which can ensure that the output of the post-fault system can still track the given target. Finally, a single-link robot is taken as an example for the numerical simulation. The simulation results show the effectiveness of the proposed method.
引用
收藏
页码：1385 / 1398
页数：14
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