Advertisement

Sliding Mode-Like Fuzzy Logic Control with Boundary Layer Self-Tuning for Discrete Nonlinear Systems

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 213)

Abstract

This paper presented a new sliding mode-like fuzzy logic control design for discrete nonlinear systems. Firstly, the boundary layer is self-tuned online, and then, the chattering free is obtained. Consequently, the fuzzy logic control (FLC) is designed to approximate the sliding mode control (SMC) with boundary layer self-tuning. Finally, the performance of the robustness, chattering free, and adaption is verified by the simulation results.

Keywords

Sliding mode control Chattering free Fuzzy logic system Adaptive 

Notes

Acknowledgments

This work is supported by the Fundamental Research Funds for the Central Universities (No.3142013055), the Science and Technology plan projects of Hebei Provincial Education Department (Z2012089) and Natural Science Foundation of Hebei Province (F2013508110).

References

  1. 1.
    Utkin VI (1977) Variable structure systems with sliding modes. IEEE Trans Autom Control 22:212–222MathSciNetCrossRefMATHGoogle Scholar
  2. 2.
    Sira-Ramirez H (1989) Nonlinear variable structure systems in sliding mode: the general case. IEEE Trans Autom Control 34:1186–1188MathSciNetCrossRefMATHGoogle Scholar
  3. 3.
    Edwards C, Spurgeon SK (1998) Sliding mode control: theory and applications. Taylor and Francis, LondonGoogle Scholar
  4. 4.
    Utkin VI, Shi JX (1996) Integral sliding mode in systems operating under uncertainty conditions. In: Proceedings of the 35th conference on decision and control, vol 4. pp 4591–4596Google Scholar
  5. 5.
    Krupp D, Shtessel YB (1999) Chattering-free sliding mode control with unmodeled dynamics. In: Proceedings of 1999 American control conference, vol 1. Arlington, VA, pp 530–534Google Scholar
  6. 6.
    Lee JH, Ko JS (1994) Continuous variable structure controller for BLDDSM position control with prescribed tracking performance. IEEE Trans Ind Electron 41:483–491CrossRefGoogle Scholar
  7. 7.
    Barrero F et al (2002) Speed control of induction motors using a novel fuzzy sliding mode structure. IEEE Trans Fuzzy Syst 10:375–383CrossRefGoogle Scholar
  8. 8.
    Wong LK et al (2001) A fuzzy sliding controller for nonlinear systems. IEEE Trans Ind Electron 48:32–37CrossRefGoogle Scholar
  9. 9.
    Ryu SH, Park JH (2001) Auto-tuning of sliding mode control parameters using fuzzy logic. In: Proceedings of the American control conference, vol 1. pp 618–623Google Scholar
  10. 10.
    Lhee CG et al (1999) Sliding-like fuzzy logic control with self-tuning the dead zone parameters. In: Proceedings of IEEE international fuzzy systems conference, vol 1. pp 544–549Google Scholar
  11. 11.
    Lhee CG et al (2001) Sliding-like fuzzy logic control with self-tuning the dead zone parameters. IEEE Trans Fuzzy Syst 9:343–348CrossRefGoogle Scholar
  12. 12.
    Lin WS, Chen CS (2002) Sliding-mode-based direct adaptive fuzzy controller design for a class of uncertain multivariable nonlinear systems. In: Proceedings of the American control conference, vol 3. pp 2955–2960Google Scholar
  13. 13.
    Wai RJ, Lin CM, Hsu CF (2002) Self-organizing fuzzy control for motor-toggle servo mechanism via sliding mode technique. Fuzzy Sets Syst 131:235–249MathSciNetCrossRefMATHGoogle Scholar
  14. 14.
    Zhang XY, Su HY, Chu J (2003) Adaptive sliding mode-like fuzzy logic control for high-order nonlinear systems. In: Proceedings of the 2003 IEEE international symposium on intelligent control, vol 1. pp 788–792Google Scholar
  15. 15.
    Zhang X (2009) Adaptive sliding mode-like fuzzy logic control for nonlinear systems. J commun comput 6(1):53–60Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Electronics and Information EngineeringNorth China Institute of Science and TechnologyBeijingChina

Personalised recommendations