Skip to main content

Part of the book series: Advances in Industrial Control ((AIC))

Abstract

This chapter considers sliding modes applied to the problem of observer design. The historical development is outlined leading to the description of a specific class of sliding mode observer which will be used throughout the book. It will be shown how the unique properties associated with the so-called equivalent injection signal necessary to maintain sliding can be exploited to reconstruct actuator and sensor faults modelled as additive perturbations to the inputs and the outputs of the plant. Design methodologies based on Linear Matrix Inequalities (LMIs) are presented. These approaches exploit all the available degrees of freedom associated with the choice of the observer gains. The chapter describes sliding mode observers which can reconstruct faults and yet be robust to disturbances/uncertainties which may corrupt the quality of the reconstructions resulting from mismatches between the model about which the observer is designed and the real system. Initially, the design method is formulated for the case of actuator faults. A comparison is also made between the sliding mode observer schemes developed in the chapter and more traditional linear unknown input observers which are prevalent in the literature.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    In the following simulations full state feedback u(t)=Fx(t) where F=[1 −1] has been employed so that λ(A+BF)={±1.4142i}. The reason for this choice of closed-loop eigenvalues is that the states will be oscillatory, and the tracking of the states can be observed if desired.

References

  1. Anderson, B.D.O., Moore, J.B.: Optimal Control: Linear Quadratic Methods. Prentice Hall, New York (1989)

    Google Scholar 

  2. Barbot, J.P., Boukhobza, T., Djemai, M.: Sliding mode observer for triangular input form. In: Proceedings of the 35th IEEE Conference on Decision and Control, CDC, pp. 1489–1490 (1996)

    Chapter  Google Scholar 

  3. Barbot, J.P., Djemai, M., Boukhobza, T.: Implicit triangular observer form dedicated to a sliding mode observer for systems with unknown inputs. Asian J. Control 5, 513–527 (2003)

    Google Scholar 

  4. Boyd, S.P., Ghaoui, L.E., Feron, E., Balakrishnan, V.: Linear Matrix Inequalities in Systems and Control Theory. SIAM, Philadelphia (1994)

    Google Scholar 

  5. Burton, J.A., Zinober, A.S.I.: Continuous approximation of variable structure control. Int. J. Syst. Sci. 17, 876–885 (1986)

    Article  Google Scholar 

  6. Chen, J., Patton, R., Zhang, H.: Design of unknown input observers and robust fault detection filters. Int. J. Control 63, 85–105 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  7. Chen, J., Patton, R.J.: Robust Model-based Fault Diagnosis for Dynamic Systems. Kluwer Academic, Norwell (1999)

    MATH  Google Scholar 

  8. Chen, J., Zhang, H.: Robust detection of faulty actuators via unknown input observers. Int. J. Syst. Sci. 22, 1829–1839 (1991)

    Article  MATH  Google Scholar 

  9. Chilali, M., Gahinet, P.: \(\mathcal{H}_{\infty}\) design with pole placement constraints: an LMI approach. IEEE Trans. Autom. Control 41, 358–367 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  10. Darouach, M.: On the novel approach to the design of unknown input observers. IEEE Trans. Autom. Control 39, 698–699 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  11. Darouach, M., Zasadzinski, M., Xu, S.J.: Full-order observers for linear systems with unknown inputs. IEEE Trans. Autom. Control 39, 606–609 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  12. Davies, R., Spurgeon, S.K.: Robust implementation of sliding mode control schemes. Int. J. Syst. Sci. 24, 733–743 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  13. de Jager, B.: Comparison of methods to eliminate chattering and avoid steady state errors in sliding mode digital control. In: Proceedings of the IEEE VSC and Lyapunov Workshop, Sheffield, UK, pp. 37–42 (1992)

    Google Scholar 

  14. Dorling, C.M., Zinober, A.S.I.: A comparative study of the sensitivity of observers. In: Proceedings of the IASTED Symposium on Applied Control and Identification, Copenhagen, Denmark, pp. 6–32638 (1983)

    Google Scholar 

  15. Drakunov, S., Utkin, V.I.: Sliding mode observers: tutorial. In: Proceedings of the 34th IEEE Conference of Decision and Control, pp. 3376–3378 (1995)

    Google Scholar 

  16. Edwards, C., Spurgeon, S.K.: On the development of discontinuous observers. Int. J. Control 59, 1211–1229 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  17. Edwards, C., Spurgeon, S.K., Patton, R.J.: Sliding mode observers for fault detection. Automatica 36, 541–553 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  18. Edwards, C., Spurgeon, S.K.: Sliding Mode Control: Theory and Applications. Taylor & Francis, London (1998)

    Google Scholar 

  19. Edwards, C., Spurgeon, S.K.: A sliding mode control observer based FDI scheme for the ship benchmark. Eur. J. Control 6, 341–356 (2000)

    Google Scholar 

  20. Fridman, L., Shtessel, Y., Edwards, C., Yan, X.G.: Higher-order sliding mode observer for state estimation and input reconstruction in nonlinear systems. Int. J. Robust Nonlinear Control 18(4–5), 399–412 (2008)

    Article  MathSciNet  Google Scholar 

  21. Gahinet, P., Nemirovski, A., Laub, A., Chilali, M.: Lmi Control Toolbox, User Guide. The Mathworks, Natick (1995)

    Google Scholar 

  22. Jiang, B., Staroswiecki, M., Cocquempot, V.: Fault estimation in nonlinear uncertain systems using robust sliding mode observers. IEE Proc., Control Theory Appl. 151, 29–37 (2004)

    Article  Google Scholar 

  23. Kudva, P., Viswanadham, N., Ramakrishna, A.: Observers for linear systems with unknown inputs. IEEE Trans. Autom. Control 25, 113–115 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  24. Luenberger, D.G.: An introduction to observers. IEEE Trans. Autom. Control 16, 596–602 (1971)

    Article  Google Scholar 

  25. Maciejowski, J.M.: Multivariable Feedback Design. Addison-Wesley, Reading (1989)

    MATH  Google Scholar 

  26. Patton, R.J., Chen, J.: Optimal unknown input distribution matrix selection for robust fault diagnosis. Automatica 29, 837–841 (1993)

    Article  MATH  Google Scholar 

  27. Rosenbrock, H.H.: State Space and Multivariable Theory. Wiley, New York (1970)

    MATH  Google Scholar 

  28. Saif, M., Guan, Y.: A new approach to robust fault detection and identification. IEEE Trans. Aerosp. Electron. Syst. 29, 685–695 (1993)

    Article  Google Scholar 

  29. Slotine, J.J.E., Hedrick, J.K., Misawa, E.A.: On sliding observers for nonlinear systems. Trans. ASME J. Dyn. Syst. Meas. Control 109, 245–252 (1987)

    Article  MATH  Google Scholar 

  30. Takahashi, R.H.C., Peres, P.L.D.: Unknown input observers for uncertain systems: a unifying approach. Eur. J. Control 5, 261–275 (1995)

    Google Scholar 

  31. Tan, C.P., Edwards, C.: Sliding mode observers for robust detection and reconstruction of actuator and sensor faults. Int. J. Robust Nonlinear Control 13, 443–463 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  32. Utkin, V.I.: Sliding Modes in Control Optimization. Springer, Berlin (1992)

    MATH  Google Scholar 

  33. Walcott, B.L., Corless, M.J., Żak, S.H.: Comparative study of nonlinear state observation techniques. Int. J. Control 45, 2109–2132 (1987)

    Article  MATH  Google Scholar 

  34. Walcott, B.L., Żak, S.H.: State observation of nonlinear uncertain dynamical systems. IEEE Trans. Autom. Control 32, 166–170 (1987)

    Article  MATH  Google Scholar 

  35. Willems, J.C.: Least squares optimal control and the algebraic Ricatti equation. IEEE Trans. Autom. Control 16, 621–634 (1971)

    Article  MathSciNet  Google Scholar 

  36. Xiong, Y., Saif, M.: A novel design for robust fault diagnostic observer. In: IEEE Conference on Desicion and Control, pp. 952–957 (1998)

    Google Scholar 

  37. Xiong, Y., Saif, M.: Sliding mode observer for nonlinear uncertain systems. IEEE Trans. Autom. Control 46, 2012–2017 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  38. Yan, X.G., Edwards, C.: Sensor fault detection and isolation for nonlinear systems based on sliding mode observers. Int. J. Adapt. Control Signal Process. 21, 657–673 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  39. Yan, X.G., Edwards, C.: Adaptive sliding mode observer-based fault reconstruction for nonlinear systems with parametric uncertainties. IEEE Trans. Ind. Electron. 55, 4029–4036 (2008)

    Article  Google Scholar 

  40. Yan, X.G., Edwards, C.: Fault estimation for single output nonlinear systems using an adaptive sliding mode observer. IET Control Theory Appl. 2, 841–850 (2008)

    Article  MathSciNet  Google Scholar 

  41. Yan, X.G., Edwards, C.: Nonlinear robust fault reconstruction and estimation using a sliding mode observer. Automatica 43(9), 1605–1614 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  42. Zhou, K., Doyle, J.C., Glover, K.: Robust and Optimal Control. Prentice Hall, New Jersey (1996)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Halim Alwi .

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag London Limited

About this chapter

Cite this chapter

Alwi, H., Edwards, C., Tan, C.P. (2011). Sliding Mode Observers for Fault Detection. In: Fault Detection and Fault-Tolerant Control Using Sliding Modes. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-0-85729-650-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-0-85729-650-4_4

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-649-8

  • Online ISBN: 978-0-85729-650-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics