Volume 10 Number 3
June 2013
Article Contents
Yu-Yan Zhang, Jun-Ling Zhang, Xiao-Yuan Luo and Xin-Ping Guan. Sensor/Actuator Faults Detection for Networked Control Systems via Predictive Control. International Journal of Automation and Computing, vol. 10, no. 3, pp. 173-180, 2013. doi: 10.1007/s11633-013-0710-4
Cite as: Yu-Yan Zhang, Jun-Ling Zhang, Xiao-Yuan Luo and Xin-Ping Guan. Sensor/Actuator Faults Detection for Networked Control Systems via Predictive Control. International Journal of Automation and Computing, vol. 10, no. 3, pp. 173-180, 2013. doi: 10.1007/s11633-013-0710-4

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

Author Biography:
  • Yu-Yan Zhang received the M. Sc. and Ph. D. degrees from Institute of Electrical Engineering, Yanshan University, China in 2001 and 2008, respectively. She is cur-rently an associate professor in Yanshan University, China. Her research interests include fault de-tection and fault-tolerant control, computer measurement and control system. E-mail: yyzhang@ysu.edu.cn

  • Received: 2012-05-26
Fund Project:

This work was supported by National Natural Science Foundation of China (No. 61074065), Natural Science Foundation of Hebei Province (No. F2012203184), and Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20111333120009).

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

Fund Project:

This work was supported by National Natural Science Foundation of China (No. 61074065), Natural Science Foundation of Hebei Province (No. F2012203184), and Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20111333120009).

Abstract: 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/actuator 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 existing literatures. Finally, some numerical simulations are shown to demonstrate the effectiveness of the proposed method.

Yu-Yan Zhang, Jun-Ling Zhang, Xiao-Yuan Luo and Xin-Ping Guan. Sensor/Actuator Faults Detection for Networked Control Systems via Predictive Control. International Journal of Automation and Computing, vol. 10, no. 3, pp. 173-180, 2013. doi: 10.1007/s11633-013-0710-4
Citation: Yu-Yan Zhang, Jun-Ling Zhang, Xiao-Yuan Luo and Xin-Ping Guan. Sensor/Actuator Faults Detection for Networked Control Systems via Predictive Control. International Journal of Automation and Computing, vol. 10, no. 3, pp. 173-180, 2013. doi: 10.1007/s11633-013-0710-4
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