Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
SpringerLink
Log in

An output delay approach to fault estimation for sampled-data systems

  • Research Paper
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

The problem of fault estimation for a class of non-uniformly sampled-data systems is investigated from the time delay point of view in this paper. Firstly, the output delay approach is employed to model the sampled-data system as a continuous-time one with time-varying delay output. Then, based on the analysis of the inapplicability of the adaptive fault diagnosis observer in such class of time-delay systems, a novel augmented fault estimation observer design method is proposed to guarantee the exponential convergence of the estimation errors. Furthermore, an extension to the case of time varying fault estimation for the noisy sampled-data systems is studied. Finally, simulation results of a flight control system are presented to demonstrate the effectiveness of the proposed method.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Chen T W, Francis B. Optimal Sample-Data Control Systems. New York: Springer, 1995

    Book  Google Scholar 

  2. Ding S X. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools. Berlin: Springer, 2008

    Google Scholar 

  3. Zhou D H, Hu Y Y. Fault diagnosis techniques for dynamic systems. Acta Automat Sin(in Chinese), 2009, 35: 748–758

    Article  Google Scholar 

  4. Chen J, Patton R J. Robust Model-Based Fault Diagnosis for Dynamic Systems. Dordrecht: Kluwer Academic Publishers, 1999

    Book  MATH  Google Scholar 

  5. Iman I. Fault diagnosis in sampled-data systems. PhD dissertation. Alberta: University of Alberta, 2006

    Google Scholar 

  6. Zhang P, Ding S X, Wang G Z, et al. The fault detection for sampled-data systems. Acta Automat Sin, 2003, 29: 306–311

    Google Scholar 

  7. Zhang P, Ding S X, Wang G Z, et al. An H ∞ approach to fault detection for sampled-data systems. In: Proceeding of American Control Conference. Anchorage: IEEE, 2002. 8–10

    Google Scholar 

  8. Zhang P, Ding S X, Wang G Z, et al. A frequency domain approach to fault detection in sampled-data systems. Automatica, 2003, 39: 1303–1307

    Article  MathSciNet  MATH  Google Scholar 

  9. Iman I, Chen T W, Zhao Q. Norm invariant discretization for sampled-data fault detection. Automatica, 2005, 41: 1633–1637

    Article  MATH  Google Scholar 

  10. Yang X J, Weng Z X, Tian Z H. Fault detection observer design for LSFDJ: a factorization approach. J Shanghai Jiaotong Univ(Sci), 2005, 10: 30–33

    Google Scholar 

  11. Yang X J, Weng Z X, Tian Z H. Actuator fault detection for sampled-data systems in H ∞ setting. J Shanghai Jiaotong Univ(Sci), 2005, 10: 131–134

    Google Scholar 

  12. Qiu A B, Wen C L, Jiang B. A hybrid system approach to robust fault detection for a class of sampled-data systems. Acta Automat Sin, 2010, 36: 1182–1188

    Article  MathSciNet  Google Scholar 

  13. Zhou D H, Ye Y Z. Fault Diangosis and Fault Tolerant Control (in Chinese). Beijing: Tsinghua University Press, 2000

    Google Scholar 

  14. Jiang B, Mao Z H, Yang H, et al. Fault Diagnosis and Fault Accommodation for Control Systems(in Chinese). Beijing: Defence Industry Press, 2009

    Google Scholar 

  15. Jiang B, Chowdhury F N. Fault estimation and accommodation for linear MIMO discrete-time systems. IEEE Trans Contr Syst T, 2005, 13: 493–499

    Article  Google Scholar 

  16. Wang H, Daley S. Actuator fault diagnosis: an adaptive observer-based technique. IEEE Trans Automat Contr, 1996, 41: 1073–1078

    Article  MathSciNet  MATH  Google Scholar 

  17. Jiang B, Wang J L, Soh Y C. An adaptive technique for robust diagnosis of faults with independent effects on system output. Int J Control, 2002, 75: 792–702

    Article  MathSciNet  MATH  Google Scholar 

  18. Jiang B, Staroswiecki M, Cocquempot V. Fault accommodation for nonlinear dynamic systems. IEEE Trans Automat Contr, 2006, 51: 1578–1583

    Article  MathSciNet  Google Scholar 

  19. Zhang K, Jiang B, Shi P. Fast fault estimation and accommodation for dynamical systems. IET Contr Theor Ap, 2009, 3: 189–199

    Article  MathSciNet  MATH  Google Scholar 

  20. Fridman E, Seuret A, Richard J. Robust sampled-data stabilization of linear systems: an input delay approach. Automatica, 2004, 40: 1441–1446

    Article  MathSciNet  MATH  Google Scholar 

  21. Fridman E, Shaked U, Suplin V. Input/output delay approach to robust sampled-data H ∞ control. Syst Control Lett, 2005, 54: 271–282

    Article  MathSciNet  MATH  Google Scholar 

  22. Jiang B, Staroswiecki M, Cocquempot V. Fault identification for a class of time-delay systems. In: Proceeding of American Control Conference. Anchorage AK: IEEE Press, 2002. 2239–2244

    Google Scholar 

  23. Zhang K, Jiang B, Shumsky A. A new criterion of fault estimation for neutral delay systems using adaptive observer. Acta Automat Sin, 2009, 35: 85–91

    Article  MathSciNet  Google Scholar 

  24. Jiang B, Zhang K, Shi P. Less conservative criteria for fault accommodation of time-varying delay systems using adaptive faults diagnosis observer. Int J Adapt Control, 2010, 24: 322–334

    Article  MathSciNet  MATH  Google Scholar 

  25. Gao H J, Wang C H. Comments and further results on “a descriptor system approach to H ∞ control of linear time-delay systems”. IEEE Trans Automat Contr, 2003, 48: 520–525

    Article  Google Scholar 

  26. Suplin V, Fridman E, Shaked U. Sampled-data H ∞ control and filtering: nonuniform uncertain sampling. Automatica, 2007, 43: 1072–1083

    Article  MathSciNet  MATH  Google Scholar 

  27. Payam N, Joao P, Andrew R. Teel. Exponential stability of impulsive systems with application to uncertain sampleddata systems. Syst Control Lett, 2008, 57: 378–385

    Article  MATH  Google Scholar 

  28. Fujioka H. A discrete-time approach to stability analysis of systems with aperiodic sampled and holds devices. IEEE Trans Automat Contr, 2009, 54: 2440–2445

    Article  MathSciNet  Google Scholar 

  29. Alexander S. Stability analysis for sampled-data systems with a time-varying period. In: Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference. Shanghai: IEEE Press, 2009. 8130–8135

    Google Scholar 

  30. Zhang K, Jiang B. Modified adaptive fault diagnosis and its application to flight control systems. Acta Aeronaut ET Astronaut Sin(in Chinese), 2009, 30: 1271–1276

    MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, 310018, China

    ChengLin Wen

  2. School of Electrical Engineering, Nantong University, Nantong, 226019, China

    AiBing Qiu

  3. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Bin Jiang

Authors
  1. ChengLin Wen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. AiBing Qiu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bin Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to AiBing Qiu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wen, C., Qiu, A. & Jiang, B. An output delay approach to fault estimation for sampled-data systems. Sci. China Inf. Sci. 55, 2128–2138 (2012). https://doi.org/10.1007/s11432-011-4472-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-011-4472-8

Keywords

Search

Navigation