Sensor/Actuator Faults Detection for Networked Control Systems via Predictive Control

Quantized fault detection for sensor/actuator faults of networked control systems （NCSs） with time delays both in the sensor-to-controller channel and controller-to-actuator channel is concerned in this paper. A fault model is set up based on the possible cases of sensor/atuator faults. Then, the mo...

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Bibliographic Details
Published in国际自动化与计算杂志 Vol. 10; no. 3; pp. 173 - 180
Main Author Yu-Yan Zhang Jun-Ling Zhang Xiao-Yuan Luo Kin-Ping Guan
Format Journal Article
LanguageChinese
Published 2013
Subjects
执行器故障
故障检测
故障模型
时间延迟
检测传感器
模型预测控制
线性矩阵不等式
网络控制系统
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ISSN1476-8186
1751-8520

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Summary:Quantized fault detection for sensor/actuator faults of networked control systems （NCSs） with time delays both in the sensor-to-controller channel and controller-to-actuator channel is concerned in this paper. A fault model is set up based on the possible cases of sensor/atuator faults. Then, the model predictive control is used to compensate the time delay. When the sensors and actuators are healthy, an H stability criterion of the state predictive observer is obtained in terms of linear matrix inequality. A new threshold computational method that conforms to the actual situation is proposed. Then, the thresholds of the false alarm rate （FAR） and miss detection rate （MDR） are presented by using our proposed method, which are also compared with the ones given in the existin~ literatures. Finally, some numerical simulations are shown to demonstrate the effectiveness of the proposed method.
Bibliography:Networked control system, fault detection, false alarm rate （FAR）, miss detection rate （MDR）, predictive control.
11-5350/TP
Quantized fault detection for sensor/actuator faults of networked control systems （NCSs） with time delays both in the sensor-to-controller channel and controller-to-actuator channel is concerned in this paper. A fault model is set up based on the possible cases of sensor/atuator faults. Then, the model predictive control is used to compensate the time delay. When the sensors and actuators are healthy, an H stability criterion of the state predictive observer is obtained in terms of linear matrix inequality. A new threshold computational method that conforms to the actual situation is proposed. Then, the thresholds of the false alarm rate （FAR） and miss detection rate （MDR） are presented by using our proposed method, which are also compared with the ones given in the existin~ literatures. Finally, some numerical simulations are shown to demonstrate the effectiveness of the proposed method.
ISSN:1476-8186
1751-8520