International Journal of Control, Automation, and Systems

  • 제6권3호
  • /
  • Pages.339-350
  • /
  • 2008
  • /
  • 1598-6446(pISSN)
  • /
  • 2005-4092(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
권호 표지

Active Fault-Tolerant Control for a Class of Nonlinear Systems with Sensor Faults

  • Wang, Youqing (Department of Automation, Tsinghua Univeristy) ;
  • Zhou, Donghua (Department of Automation, Tsinghua Univeristy) ;
  • Qin, S.Joe (School of Engineering, University of Southern California) ;
  • Wang, Hong (School of Electrical and Electronic Engineering, the University of Manchester)
  • 발행 : 2008.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

A general active fault-tolerant control framework is proposed for nonlinear systems with sensor faults. According to their identifiability, all sensor faults are divided into two classes: identifiable faults and non-identifiable faults. In the healthy case, the control objective is such that all outputs converge to their given set-points. A fault detection and isolation module is firstly built, which can produce an alarm when there is a fault in the system and also tell us which sensor has a fault. If the fault is identifiable, the control objective remains the same as in the healthy case; while if the fault is non-identifiable, the control objective degenerates to be such that only the healthy outputs converge to the set-points. A numerical example is given to illustrate the effectiveness and feasibility of the proposed method and encouraging results have been obtained.

키워드

참고문헌

  1. D. H. Zhou and P. M. Frank, "Fault diagnostics and fault tolerant control," IEEE Trans. on Aerospace and Electronic Systems, vol. 34, no. 2, pp. 420-427, Apr. 1998 https://doi.org/10.1109/7.670324
  2. S. C. Patwardhan, S. Manuja, S. Narasimhan, and S. L. Shah, "From data to diagnosis and control using generalized orthonormal basis filters, Part II: Model predictive and fault tolerant control," Journal of Process Control, vol. 16, no. 2, pp. 157-175, Feb. 2006 https://doi.org/10.1016/j.jprocont.2005.04.011
  3. X. Zhang, T. Parisini, and M. M. Polycarpou, "Adaptive fault-tolerant control of nonlinear uncertain systems: An information-based diagnostic approach," IEEE Trans. on Automatic Control, vol. 49, no. 8, pp. 1259-1274, Aug. 2004 https://doi.org/10.1109/TAC.2004.832201
  4. Y. Q. Wang, D. H. Zhou, and F. R. Gao, "Robust phase nonlinear processes," Journal of Process Control, vol. 17, no. 6, pp. 523-537, Jul. 2007 https://doi.org/10.1016/j.jprocont.2006.12.002
  5. Y. Q. Wang, J. Shi, D. H. Zhou, and F. R. Gao, "Iterative learning fault-tolerant control for batch processes," Industrial & Engineering Chemistry Research, vol. 45, no. 26, pp. 9050-9060, Dec. 2006 https://doi.org/10.1021/ie060726p
  6. G.-H. Yang, J. L. Wang, and Y. C. Soh, "Reliable LQG control with sensor failures," IEE Proc.- Control Theory Appl., vol. 147, no. 4, pp. 433- 439, Jul. 2000 https://doi.org/10.1049/ip-cta:20000499
  7. G.-H. Yang, J. L. Wang, and Y. C. Soh, "Reliable $H{\infty}$ controller design for linear systems," Automatica, vol. 37, no. 5, pp. 717-725, May 2001 https://doi.org/10.1016/S0005-1098(01)00007-3
  8. J.-S. Yee, G.-H. Yang, and J. L. Wang, "Reliable output-feedback controller design for discretetime linear systems: An iterative LMI approach," Proc. of the American Control Conference, Arlington, VA, pp. 1035-1040, June 2001
  9. A. B. Trunov and M. M. Polycarpou, "Automated fault diagnosis in nonlinear multivariable systems using a learning methodology," IEEE Trans. on Neural Network, vol. 11, no. 1, pp. 91-101, Jan. 2000 https://doi.org/10.1109/72.822513
  10. J. Q. Zhang and Y. Yan, "A wavelet-based approach to abrupt fault detection and diagnosis of sensors," IEEE Trans. on Instrumentation and Measurement, vol. 50, no. 5, pp. 1389-1396, Oct. 2001 https://doi.org/10.1109/19.963215
  11. C. P. Tan and C. Edwards, "Sliding mode observers for detection and reconstruction of sensor faults," Automatica, vol. 38, no. 10, pp. 1815-1821, Oct. 2002 https://doi.org/10.1016/S0005-1098(02)00098-5
  12. H. Wang, Z. J. Huang, and S. Daley, "On the use of adaptive updating rules for actuator and sensor fault diagnosis," Automatica, vol. 33, no. 2, pp. 217-225, Feb. 1997 https://doi.org/10.1016/S0005-1098(96)00155-0
  13. S. M. Bennett, R. J. Patton, and S. Daley, "Sensor fault-tolerant control of a rail traction drive," Control Engineering Practice, vol. 7, no. 2, pp. 217-225, Feb. 1999 https://doi.org/10.1016/S0967-0661(98)00151-8
  14. N. E. Wu, S. Thavamani, Y. Zhang, and M. Blanke, "Sensor fault masking of a ship propulsion system," Control Engineering Practice, vol. 14, no. 11, pp. 1337-1345, Nov. 2006 https://doi.org/10.1016/j.conengprac.2005.09.003
  15. Y.-S. Jeong, S.-K. Sul, S. E. Schulz, and N. R. Patel, "Fault detection and fault-tolerant control of interior permanent-magnet motor drive system for electric vehicle," IEEE Trans. on Industry Applications, vol. 41, no. 1, pp. 46-51, Jan-Feb 2005 https://doi.org/10.1109/TIA.2004.840947
  16. Y. Q. Wang and D. H. Zhou, "Sensor gain fault diagnosis for a class of nonlinear systems," European Journal of Control, vol. 12, no. 5, pp. 523-535, Sep./Oct. 2006 https://doi.org/10.3166/ejc.12.523-535
  17. B. Jiang, M. Staroswiecki, and V. Cocquempot, "Fault estimation in nonlinear uncertain systems using robust/sliding-mode observers," IEE Proc.-Control Theory Appl., vol. 151, no. 1, pp. 29-37, Jan. 2004 https://doi.org/10.1049/ip-cta:20040074
  18. X.-G. Yan and C. Edwards, "Sensor fault detection and isolation for nonlinear systems based on a sliding mode observer," Int. J. Adapt. Control Signal Process, vol. 21, no. 8-9, pp. 657-673, Oct./Nov. 2007 https://doi.org/10.1002/acs.967
  19. X.-G. Yan and C. Edwards, "Nonlinear robust fault reconstruction and estimation using a sliding mode observer," Automatica, vol. 43, no. 9, pp. 1605-1614, Sep. 2007 https://doi.org/10.1016/j.automatica.2007.02.008