http://iet.metastore.ingenta.com
1887

Fuzzy logic systems-based integral sliding mode fault-tolerant control for a class of uncertain non-linear systems

Fuzzy logic systems-based integral sliding mode fault-tolerant control for a class of uncertain non-linear systems

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Control Theory & Applications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study proposes an integral sliding mode control (ISMC) scheme for a class of uncertain non-linear systems subject to actuator faults including outage. It is noted that traditional ISMC method cannot handle actuator outage. To tackle the problem, matrix full-rank factorisation technique and adaptive mechanism are incorporated. Based on the above technique, two novel integral sliding surfaces using construction methods I and II are then introduced and existence conditions of sliding modes are given in terms of linear matrix inequalities, in which less conservativeness and better robustness against actuator faults are obtained using construction method II than I. The fuzzy logic systems are applied to approximate the bounds of unknown non-linear functions. Furthermore, an integral sliding mode controller, without an fault detection and isolation mechanism, is synthesised to guarantee the asymptotic stability and the robustness of the closed-loop system against actuator faults and non-linearities from the every beginning. Finally, simulation results for a model of B747-100/200 aircraft confirm the effectiveness of the proposed control method.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • 15. Wang, T., Gao, H., Qiu, J.: ‘A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control’, IEEE Trans. Neural Netw. Learn. Syst., 2015, online, 10.1109/TNNLS.2015.2411671.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
      • 22. Utkin, V.I., Guldner, J., Shi, J.: ‘Sliding mode control in electromechanical systems’ (Taylor and Francis, 1999).
    23. 23)
      • 23. Edwards, C., Spurgeon, S.K.: ‘Sliding mode control: theory and applications’ (Taylor and Francis Ltd, London, 1998).
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
    30. 30)
    31. 31)
    32. 32)
    33. 33)
      • 33. Corradini, M.L., Orlando, G.: ‘A fault tolerant sliding mode controller for actuator failure compensation’, Proc. 44th IEEE Conf. on Decision and Control, Seville, Spain, December 2005, pp. 30913096.
    34. 34)
    35. 35)
      • 35. Alwi, H., Edwards, C.: ‘Sliding mode FTC with on-line control allocation’, Proc. 45th IEEE Conf. on Decision and Control, San Diego, CA, USA, December 2006, pp. 55795584.
    36. 36)
    37. 37)
    38. 38)
    39. 39)
    40. 40)
    41. 41)
    42. 42)
    43. 43)
    44. 44)
    45. 45)
      • 45. Wang, L.X.: ‘Adaptive fuzzy systems and control’ (Prentice-Hall, Englewood Cliffs, NJ, USA, 1994).
    46. 46)
      • 46. Zhou, K., Doyle, J.C., Glover, K.: ‘Robust and optimal control’ (Prentice-Hall, New Jersey, 1996).
    47. 47)
      • 47. Hanke, C., Nordwall, D.: ‘The Simulation of a Jumbo Jet Transport Aircraft’. Volume II, Modelling Data NASA and The Boeing Company, Technical Report, CR-114494/D6-30643- VOL2, 1970.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cta.2015.0716
Loading

Related content

content/journals/10.1049/iet-cta.2015.0716
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address