Fault Diagnosis for Nonlinear Uncertain Systems Using Robust/Sliding Mode Observers

B. Jiang and M. Staroswiecki

References

  1. [1] M. Staroswiecki & A.-L. Gehin, From control to supervision, IFAC Annual Reviews in Control, 25 (1), 2001, 1–11. doi:10.1016/S1367-5788(01)00002-5
  2. [2] D.M. Frank, Fault detection in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results, Automatica, 26 (3), 1990, 450–472. doi:10.1016/0005-1098(90)90018-D
  3. [3] J.J. Gertler, Fault detection and diagnosis in engineering systems (New York: Marcel Dekker, 1998).
  4. [4] R. Seliger & P.M. Frank, Fault diagnosis by disturbance decoupled nonlinear observers, Proc. 30th CDC, Brighton, 1991, 2248–2253. doi:10.1109/CDC.1991.261547
  5. [5] Y. Guan & M. Saif, Novel approach to the design of unknown input observers, IEEE Transactions on Automatic Control, 36 (5), 1991, 632–635. 156 doi:10.1109/9.76372
  6. [6] H. Hammouri, M. Kinnaert, & E.H. El Yaagoubi, Observer based approach to fault detection and isolation for nonlinear systems, IEEE Transactions on Automatic Control, 44 (10), 1999, 1879–1884. doi:10.1109/9.793728
  7. [7] C. De Persis & A. Isidori, A geometric approach to nonlinear fault detection and isolation, IEEE Transactions on Automatic Control, 46 (6), 2001, 853–865. doi:10.1109/9.928586
  8. [8] M. Staroswiecki & G. Comtet-Varga., Analytical redundancy relations for fault detection and isolation in algebraic dynamic systems, Automatica, 37 (5), 2001, 687–699. doi:10.1016/S0005-1098(01)00005-X
  9. [9] C. Christphe, V. Cocquempot, & B. Jiang, Link between high gain observer-based residual and parity space one, Proc. ACC’02, Anchorage, USA, 2002, 2100–2105.
  10. [10] B. Jiang, J.L. Wang, & Y.C. Soh, Robust fault diagnosis for a class of linear systems with uncertainty, Journal of Guidance, Control and Dynamics, 22 (5), 1999, 736–740.
  11. [11] B. Jiang, J.L. Wang, & Y.C. Soh, An adaptive technique for robust diagnosis of faults with independent effect on system outputs, International Journal of Control, 75 (11), 2002, 792– 802. doi:10.1080/00207170210149934
  12. [12] X. Ding & P.M. Frank, An adaptive observer-based fault detection scheme for nonlinear systems, Proc. 12th IFAC World Congress, Sydney, 1993, 307–312.
  13. [13] B. Jiang, M. Staroswiecki, & V. Cocquempot, Fault diagnosis for a class of nonlinear systems with unknown parameters, Proc. 4th IFAC Workshop on On-line Fault Detection and Supervision in the Chemical Process Industries, Seoul, South Korea, 2001, 181–186.
  14. [14] M.M. Polycarpou, Fault accommodation of a class of multivariable nonlinear dynamical systems using a learning approach, IEEE Transactions on Automatic Control, 46 (5), 2001, 736– 742. doi:10.1109/9.920792
  15. [15] D. Theilliol, J.Ch. Ponsart, & H. Noura, Sensor fault diagnosis and accommodation based on analytical redundancy: Application to a three-tank system, Proc. IFAC Safeprocess, Budapest, 2000, 542–547.
  16. [16] R. Marino & P. Tomei, Nonlinear control design: Geometric, adaptive and robust (London: Prentice-Hall, 1995).
  17. [17] M.J. Corless & G. Leitmann, Continuous state feedback guaranteeing uniform ultimate boundedness for uncertain dynamic systems, IEEE Transactions on Automatic Control, 26 (5), 1981, 1139–1144. doi:10.1109/TAC.1981.1102785
  18. [18] B.L. Walcott & S.H. Zak, Combined observer-controller synthesis for uncertain dynamical systems with applications, IEEE Transactions on Systems, Man and Cybernetics, 18 (1), 1988, 88–104. doi:10.1109/21.87057
  19. [19] M. Spong, Modeling and control of elastic joint robots, ASME Journal of Dynamic Systems, Measurement and Control, 109 (3), 1987, 310–319.

Important Links:

Go Back