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

页码：1385 / 1398

页数：14

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