Active-Varying Sampling-Based Fault Detection Filter Design for Networked Control Systems

Author:

Wang Yu-Long1,Wang Tian-Bao2,Che Wei-Wei3

Affiliation:

1. School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212003, China

2. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

3. Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, Shenyang, Liaoning 110044, China

Abstract

This paper is concerned with fault detection filter design for continuous-time networked control systems considering packet dropouts and network-induced delays. The active-varying sampling period method is introduced to establish a new discretized model for the considered networked control systems. The mutually exclusive distribution characteristic of packet dropouts and network-induced delays is made full use of to derive less conservative fault detection filter design criteria. Compared with the fault detection filter design adopting a constant sampling period, the proposed active-varying sampling-based fault detection filter design can improve the sensitivity of the residual signal to faults and shorten the needed time for fault detection. The simulation results illustrate the merits and effectiveness of the proposed fault detection filter design.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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