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2011 | 21 | 4 | 639-648

Tytuł artykułu

Fault tolerance in networked control systems under intermittent observations

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
This paper presents an approach to fault tolerant control based on the sensor masking principle in the case of wireless networked control systems. With wireless transmission, packet losses act as sensor faults. In the presence of such faults, the faulty measurements corrupt directly the behaviour of closed-loop systems. Since the controller aims at cancelling the error between the measurement and its reference input, the real outputs will, in such a networked control system, deviate from the desired value and may drive the system to its physical limitations or even to instability. The proposed method facilitates fault compensation based on an interacting multiple model approach developed in the framework of channel errors or network congestion equivalent to multiple sensors failures. The interacting multiple model method involved in a networked control system provides simultaneously detection and isolation of on-line packet losses, and also performs a suitable state estimation. Based on particular knowledge of packet losses, sensor fault-tolerant controls are obtained by computing a new control law using fault-free estimation of the faulty element to avoid intermittent observations that might develop into failures and to minimize the effects on system performance and safety.

Rocznik

Tom

21

Numer

4

Strony

639-648

Opis fizyczny

Daty

wydano
2011
otrzymano
2010-09-15
poprawiono
2011-04-08

Twórcy

  • Nancy Research Centre for Automatic Control, Nancy University, CNRS, B.P. 70239 F-54506 Vandœuvre les Nancy, France
  • Nancy Research Centre for Automatic Control, Nancy University, CNRS, B.P. 70239 F-54506 Vandœuvre les Nancy, France
  • Automatic Control, Computer Science and Signal Processing Laboratory: LAGIS FRE CNRS 3303, Polytech'Lille, Bgt. D, 59655 Villeneuve d'Ascq Cedex, France
  • Nancy Research Centre for Automatic Control, Nancy University, CNRS, B.P. 70239 F-54506 Vandœuvre les Nancy, France
  • Nancy Research Centre for Automatic Control, Nancy University, CNRS, B.P. 70239 F-54506 Vandœuvre les Nancy, France

Bibliografia

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  • Decotignie, J.-D. (2002). Wireless fieldbusses-A survey of issues and solutions, 15th IFAC Triennal World Congress, Barcelona, Spain.
  • De Pellegrini, F., Miorandi, D., Vitturi, S. and Zanella, A. (2006). On the use of wireless networks at low level of factory automation systems, IEEE Transactions on Industrial Informatics 2(2): 129-143.
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  • Henk, A., Bloom, O. and Bar-Shalom, Y. (1988). The interacting multiple model algorithm for systems with Markovian switching coefficients, IEEE Transactions on Automatic Control 33(8): 780-783.
  • IEEE Computer Society (2003). IEEE standard for information technology, Telecommunications and information exchange between systems, Local and metropolitan area networks, Specific requirements, Part 15.4: Wireless medium access control (mac) and physical layer (phy) specifications for low-rate wireless personal area networks (lrwpans), IEEE Std 802.15.4-2003.
  • Mao, Z., Jiang, B. and Shi, P. (2009). Fault detection for a class of nonlinear networked control systems, International Journal of Adaptive Control and Signal Processing 24(7): 610-622.
  • Noura, H., Sauter, D., Hamelin, F. and Theilliol, D. (2000). Fault-tolerant control in dynamic systems: Application to a winding machine, IEEE Control Systems Magazine 20(1): 33-49.
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  • Patton, R. (1997). Fault-tolerant control: The 1997 situation, IFAC Symposium Safeprocess'97, Kingston Upon Hull, UK, Vol. 2, pp. 1033-1055.
  • Sinopoli, B., Schenato, L., Franceschetti, M., Poolla, K., Jordan, M. and Sastry, S. (2004). Kalman filtering with intermittent observations, IEEE Transactions on Automatic Control 49(9): 1453-1464.
  • Theilliol, D., Rodrigues, M. and Ponsart, J. (2008). Fault diagnosis and accommodation design for nonlinear systems described by interpolated LTI models, 16th Mediterranean Conference on Control and Automation, Ajaccio, France, pp. 267-273.
  • Tipsuwan, Y. and Chow, M.-Y. (2003). Control methodologies in networked control systems, Control Engineering Practice 11(10): 1099-1111.
  • Wang, Y., Ding, S., Ye, H., Wei, L., Zhang, P. and Wang, G. (2009). Fault detection of networked control systems with packet based periodic communication, International Journal of Adaptive Control and Signal Processing 23(8): 682-698.
  • Willig, A., Kubisch, M., Hoene, C. and Wolisz, A. (2002). Measurements of a wireless link in an industrial environment using an IEEE 802.11-compliant physical layer, IEEE Transactions on Industrial Electronics 49(6): 1265-1282.
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  • Zhang, W., Branicky, S. and Phillips, S. (2001). Stability of networked control systems, IEEE Control Systems Magazine 21(1): 84-89.
  • Zhang, Y. and Jiang, J. (2002). Active fault-tolerant control system against partial actuator failures, IEE Proceedings: Control Theory and Applications 149(1): 95-104.
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  • Zhang, Y. and Li, X. R. (1998). Detection and diagnosis of sensors and actuators failures using IMM estimator, IEEE Transactions on Aerospace and Electronic Systems 34(4): 1293-1313.
  • Zhao, Y., Lam, Y. and Gao, H. (2009). Fault detection for fuzzy systems with intermittent measurements, International Journal of Adaptive Control and Signal Processing 17(2): 298-410.

Typ dokumentu

Bibliografia

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Identyfikator YADDA

bwmeta1.element.bwnjournal-article-amcv21i4p639bwm
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