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Reliability modeling of fault tolerant control systems

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper proposes a novel approach to reliability evaluation for active Fault Tolerant Control Systems (FTCSs). By introducing a reliability index based on the control performance and hard deadline, a semi-Markov process model is proposed to describe system operation for reliability evaluation. The degraded performance of FTCSs in the presence of imperfect Fault Detection and Isolation (FDI) is reflected by semi-Markov states. The semi-Markov kernel, the key parameter of the process, is determined by four probabilistic parameters based on the Markovian model of FTCSs. Computed from the transition probabilities of the semi-Markov process, the reliability index incorporates control objectives, hard deadline, and the effects of imperfect FDI, a suitable quantitative measure of the overall performance.
Rocznik
Strony
491--504
Opis fizyczny
Bibliogr. 33 poz., rys., wykr.
Twórcy
autor
  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2V4
autor
  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2V4
autor
  • Department of Computer Science and Engineering, Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700 Esbjerg, Denmark
Bibliografia
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  • [9] Guenab F., Theilliol D., Weber P., Zhang Y.M., and Sauter D. (2006): Fault tolerant control system design: A reconfiguration strategy based on reliability analysis under dynamic behavior constraints. Proceedings of SAFEPROCESS, Beijing, China, pp. 1387-1362.
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  • [13] Li H. and Zhao Q. (2006): Reliability evaluation of fault tolerant control systems with a semi-Markov FDI model. Proceedings of SAFEPROCESS, Beijing, China, pp. 1381-1386.
  • [14] Limnios N., and Oprisan G. (2001): Semi-Markov Processes and Reliability. Boston: Birkhäuser.
  • [15] Mahmoud M., Jiang J. and Zhang Y. (2003): Active Fault-Tolerant Control Systems: Stochastic Analysis and Synthesis. Berlin: Springer-Verlag.
  • [16] Mariton M. (1989): Detection delays, false alarm rates and the reconfiguration of control systems. International Journal of Control, Vol. 49, No. 3, pp. 981-992.
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  • [24] Srichander R. and Walker B. (1993): Stochastic stability analysis for continuous-time fault tolerant control systems. International Journal of Control, Vol. 57, No. 2, pp. 433-452.
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  • [27] Walker B. (1989): Fault detection threshold determination using Markov theory, In: Fault Diagnosis in Dynamic Systems: Theory and Application (R. Patton, P. Frank, and R. Clark, Eds.), Upper Saddle River: Prentice Hall.
  • [28] Wu N. E. (2001): Reliability of fault tolerant control systems: Part I and II. Proceedings of the 40th IEEE Conference on Decision and Control, Orlando, USA, pp. 1460-1471.
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  • [30] Wu N. E. (2004): Coverage in fault-tolerant control. Automatica, Vol. 40, No. 4, pp. 537-548.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0041-0048
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