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Fuzzy Sliding Mode Controller Design Using Takagi-Sugeno Modelled Nonlinear Systems

Author

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  • S. Bououden
  • M. Chadli
  • H. R. Karimi

Abstract

Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in this paper. The unknown system dynamics and upper bounds of the minimum approximation errors are adaptively updated with stabilizing adaptive laws. The closed-loop system driven by the proposed controllers is shown to be stable with all the adaptation parameters being bounded. The performance and stability of the proposed control system are achieved analytically using the Lyapunov stability theory. Simulations show that the proposed controller performs well and exhibits good performance.

Suggested Citation

  • S. Bououden & M. Chadli & H. R. Karimi, 2013. "Fuzzy Sliding Mode Controller Design Using Takagi-Sugeno Modelled Nonlinear Systems," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, February.
    • Handle: RePEc:hin:jnlmpe:734094
    DOI: 10.1155/2013/734094
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    Cited by:

    1. Lelisa Wogi & Tadele Ayana & Marcin Morawiec & Andrzej Jąderko, 2022. "A Comparative Study of Fuzzy SMC with Adaptive Fuzzy PID for Sensorless Speed Control of Six-Phase Induction Motor," Energies, MDPI, vol. 15(21), pages 1-29, November.

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