Fault Diagnosis in Feedback Control Systems and Fault-Tolerant Architecture

  • Steven X. Ding
Part of the Advances in Industrial Control book series (AIC)


In practice, model-based fault diagnosis is often integrated into a feedback control loop, in order to enhance the system reliability and availability. The study on fault diagnosis in feedback control systems is thus of special interest in many real applications. The major focus of this chapter is on the residual generation in a feedback control loop without an observer running parallel to the controller and, based on it, the realization of fault detection schemes.

The basis of the residual generation and fault detection schemes is an observer and residual generator based realization of the Youla parameterization of all stabilization controllers, which allows residual generation embedded in the control loop and building of a fault-tolerant architecture. The last part of this chapter is dedicated to the realization and implementation of residual generation and fault detection schemes in different control configurations.


  1. 33.
    Ding, S.X.: Integrated design of feedback controllers and fault detectors. Annu. Rev. Control 33, 124–135 (2009) CrossRefGoogle Scholar
  2. 40.
    Ding, S.X., Yang, G., Zhang, P., Ding, E., Jeinsch, T., Weinhold, N., Schulalbers, M.: Feedback control structures, embedded residual signals and feedback control schemes with an integrated residual access. IEEE Trans. Control Syst. Technol. 18, 352–367 (2010) CrossRefGoogle Scholar
  3. 53.
    Ding, X., Guo, L., Frank, P.M.: Parametrization of linear observers and its application to observer design. IEEE Trans. Automat. Control 39, 1648–1652 (1994) MathSciNetMATHCrossRefGoogle Scholar
  4. 59.
    Francis, B.A.: A Course in H Control Theory. Springer, Berlin (1987) MATHCrossRefGoogle Scholar
  5. 122.
    Marcos, A., Balas, G.J.: A robust integrated controller/diagnosis aircraft application. Internat. J. Robust Nonlinear Control 15, 531–551 (2005) MathSciNetMATHCrossRefGoogle Scholar
  6. 127.
    Nett, C.N., Jacobson, C., Miller, A.T.: An integrated approach to controls and diagnostics. In: Proc. of ACC, pp. 824–835 (1988) Google Scholar
  7. 131.
    Niemann, H., Stoustrup, J.: Integration of control and fault detection: Nominal and robust design. In: Proc. of the 3rd IFAC Symp. SAFEPROCESS, vol. 1, pp. 341–346 (1997) Google Scholar
  8. 132.
    Niemann, H., Stoustrup, J.: Fault tolerant control based on LTR design. In: Proc. of the IEEE CDC, pp. 2453–2458 (2003) Google Scholar
  9. 168.
    Vidyasagar, M.: Control System Synthesis: A Factorization Approach. MIT Press, Cambridge (1985) MATHGoogle Scholar
  10. 169.
    Vilanova, R., Serra, I.: Realisation of two-degree-of-freedom compensators. IEE Proc., Control Theory Appl. 144, 589–595 (1997) MATHCrossRefGoogle Scholar
  11. 180.
    Weinhold, N., Ding, S., Jeinsch, T., Schultalbers, M.: Embedded model-based fault diagnosis for on-board diagnosis of engine management systems. In: Proc. of the IEEE CCA, pp. 1206–1211 (2005) Google Scholar
  12. 198.
    Zhou, K.: Essential of Robust Control. Prentice-Hall, Englewood Cliffs (1998) Google Scholar
  13. 199.
    Zhou, K., Doyle, J., Glover, K.: Robust and Optimal Control. Prentice-Hall, New Jersey (1996) MATHGoogle Scholar
  14. 200.
    Zhou, K., Ren, Z.: A new controller architecture for high performance, robust, and fault-tolerant control. IEEE Trans. Automat. Control 46, 1613–1618 (2001) MathSciNetMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Steven X. Ding
    • 1
  1. 1.Inst. Automatisierungstechnik und Komplexe Systeme (AKS)Universität Duisburg-EssenDuisburgGermany

Personalised recommendations