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

Yu-Yan Zhang; Jun-Ling Zhang; Xiao-Yuan Luo; Xin-Ping Guan

doi:10.1007/s11633-013-0710-4

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

1.
Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

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).

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.
- Networked control system,
- fault detection,
- false alarm rate (FAR),
- miss detection rate (MDR),
- predictive control

References

[1]	H. S. Park, Y. H. Kim, D. S. Kim, W. H. Kwon. A schedul-ing method for network-based control systems. IEEE Trans-actions on Control Systems Technology, vol. 10, no. 3,pp. 318-330, 2002.
[2]	K. C. Lee, S. Lee, M. H. Lee. Remote fuzzy logic control ofnetworked control system via Profibus-DP. IEEE Transac-tions on Industrial Electronics, vol. 50, no. 4, pp. 784-792,2003.
[3]	J. M. Guerrero, J. Matas, L. G. deVicuna, M. Castilla,J. Miret. Wireless-control strategy for parallel operation ofdistributed-generation inverters. IEEE Transactions on In-dustrial Electronics, vol. 53, no. 5, pp. 1461-1470, 2006.
[4]	C. B. Jacobina, T. M. Oliveira, E. R. C. da Silva. Control ofthe single-phase three-leg AC/AC converter. IEEE Trans-actions on Industrial Electronics, vol. 53, no. 2, pp. 467-476,2006.
[5]	M. Y. Zhong, S. X. Ding, J. Lam, H. B. Wang. An LMIapproach to design robust fault detection filter for uncertainLTI systems. Automatica, vol. 39, no. 3, pp. 543-550, 2003.
[6]	Y. Q. Wang, H. Ye, S. Ding, G. Z. Wang. Fault detection ofnetworked control systems subject to access constraints andrandom packet dropout. Acta Automatica Sinica, vol. 35,no. 9, pp. 1230-1234, 2009.
[7]	H. Hang, D. X. Xie, D. F. Zhang, Z. Q. Wang. H1 fault de-tection for networked control system with Random Markovdelays. Information and Control, vol. 39, no. 1, pp. 6-12,2009.
[8]	M. Y. Zhong, Q. L. Han. Fault detection filter design fora class of networked control systems. In Proceedings of the6thWorld Congress on Intelligent Control and Automation,IEEE, Dalian, China, pp. 215-219, 2006.
[9]	H. J. Fang, H. Ye, M. Y. Zhong. Fault diagnosis of net-worked control systems. Annual Reviews in Control, vol. 31,no. 1, pp. 55-68, 2007.
[10]	X. Y. Luo, M. J. Shang, C. L. Chen, X. P. Guan. Guar-anteed cost active fault-tolerant control of networked con-trol system with packet dropout and transmission delay. In-ternational Journal of Automation and Computing, vol. 7,no. 4, pp. 509-515, 2010.
[11]	S. B. Li, D. Sauter, C. Aubrun, J. Yamé. Stability guaran-teed active fault-tolerant control of networked control sys-tems. Journal of Control Science and Engineering, vol. 2008,Article ID. 189064, 1-9, 2008.
[12]	H. Huang, X. D. Han, D. X. Xie, Z. Q. Wang. Active fault-tolerant control for networked control systems with packetdropout. Control and Decision, vol. 24, no. 8, pp. 1126-1131,2009. (in Chinese)
[13]	W. Li, J. Q. Zhang, Y. J. Li. Design of robust fault-tolerantcontroller based on delay model for networked control sys-tems. Control Engineering of China, vol. 16, no. 5, pp. 517-521, 526, 2009. (in Chinese)
[14]	Z. J. Li, L. F. Wang, X. H. Lai, S. H. Xu. Stability of con-strained model predictive control for networked control sys-tems with data packet dropout. In Proceedings of IEEE In-ternational Conference on Automation and Logistics, IEEE,Jinan, China, pp. 3018-3023, 2007.
[15]	Y. Xia, G. P. Liu, M. Fu, D. Rees. Predictive control of net-worked systems with random delay and data dropout. IETControl Theory and Applications, vol. 3, no. 11, pp. 1476-1486, 2009.
[16]	M. Y. Zhong, H. Ye, P. Shi, G. Wang. Fault detection forMarkovian jump systems. IEE Proceedings: Control The-ory and Applications, vol. 152, no. 4, pp. 397-402, 2005.
[17]	J. Liang, L. Y. Qiao, X. Y. Peng. Fault detection based onSIR state estimation and smoothed residual. Acta Electron-ica Sinica, vol. 35, no. 12A, pp. 32-36, 2007. (in Chinese)

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沈阳化工大学材料科学与工程学院沈阳 110142

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

1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Received: 2012-05-26

Fund Project:

Key words:

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.

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Reference (17)

[1]	H. S. Park, Y. H. Kim, D. S. Kim, W. H. Kwon. A schedul-ing method for network-based control systems. IEEE Trans-actions on Control Systems Technology, vol. 10, no. 3,pp. 318-330, 2002.
[2]	K. C. Lee, S. Lee, M. H. Lee. Remote fuzzy logic control ofnetworked control system via Profibus-DP. IEEE Transac-tions on Industrial Electronics, vol. 50, no. 4, pp. 784-792,2003.
[3]	J. M. Guerrero, J. Matas, L. G. deVicuna, M. Castilla,J. Miret. Wireless-control strategy for parallel operation ofdistributed-generation inverters. IEEE Transactions on In-dustrial Electronics, vol. 53, no. 5, pp. 1461-1470, 2006.
[4]	C. B. Jacobina, T. M. Oliveira, E. R. C. da Silva. Control ofthe single-phase three-leg AC/AC converter. IEEE Trans-actions on Industrial Electronics, vol. 53, no. 2, pp. 467-476,2006.
[5]	M. Y. Zhong, S. X. Ding, J. Lam, H. B. Wang. An LMIapproach to design robust fault detection filter for uncertainLTI systems. Automatica, vol. 39, no. 3, pp. 543-550, 2003.
[6]	Y. Q. Wang, H. Ye, S. Ding, G. Z. Wang. Fault detection ofnetworked control systems subject to access constraints andrandom packet dropout. Acta Automatica Sinica, vol. 35,no. 9, pp. 1230-1234, 2009.
[7]	H. Hang, D. X. Xie, D. F. Zhang, Z. Q. Wang. H1 fault de-tection for networked control system with Random Markovdelays. Information and Control, vol. 39, no. 1, pp. 6-12,2009.
[8]	M. Y. Zhong, Q. L. Han. Fault detection filter design fora class of networked control systems. In Proceedings of the6thWorld Congress on Intelligent Control and Automation,IEEE, Dalian, China, pp. 215-219, 2006.
[9]	H. J. Fang, H. Ye, M. Y. Zhong. Fault diagnosis of net-worked control systems. Annual Reviews in Control, vol. 31,no. 1, pp. 55-68, 2007.
[10]	X. Y. Luo, M. J. Shang, C. L. Chen, X. P. Guan. Guar-anteed cost active fault-tolerant control of networked con-trol system with packet dropout and transmission delay. In-ternational Journal of Automation and Computing, vol. 7,no. 4, pp. 509-515, 2010.
[11]	S. B. Li, D. Sauter, C. Aubrun, J. Yamé. Stability guaran-teed active fault-tolerant control of networked control sys-tems. Journal of Control Science and Engineering, vol. 2008,Article ID. 189064, 1-9, 2008.
[12]	H. Huang, X. D. Han, D. X. Xie, Z. Q. Wang. Active fault-tolerant control for networked control systems with packetdropout. Control and Decision, vol. 24, no. 8, pp. 1126-1131,2009. (in Chinese)
[13]	W. Li, J. Q. Zhang, Y. J. Li. Design of robust fault-tolerantcontroller based on delay model for networked control sys-tems. Control Engineering of China, vol. 16, no. 5, pp. 517-521, 526, 2009. (in Chinese)
[14]	Z. J. Li, L. F. Wang, X. H. Lai, S. H. Xu. Stability of con-strained model predictive control for networked control sys-tems with data packet dropout. In Proceedings of IEEE In-ternational Conference on Automation and Logistics, IEEE,Jinan, China, pp. 3018-3023, 2007.
[15]	Y. Xia, G. P. Liu, M. Fu, D. Rees. Predictive control of net-worked systems with random delay and data dropout. IETControl Theory and Applications, vol. 3, no. 11, pp. 1476-1486, 2009.
[16]	M. Y. Zhong, H. Ye, P. Shi, G. Wang. Fault detection forMarkovian jump systems. IEE Proceedings: Control The-ory and Applications, vol. 152, no. 4, pp. 397-402, 2005.
[17]	J. Liang, L. Y. Qiao, X. Y. Peng. Fault detection based onSIR state estimation and smoothed residual. Acta Electron-ica Sinica, vol. 35, no. 12A, pp. 32-36, 2007. (in Chinese)

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

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