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Fuzzy Adaptive Sliding Mode Control for a Class of Uncertain Nonlinear MIMO Systems with Application to a 2DOF Twin Propeller

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Fuzzy Sets and Systems — IFSA 2003 (IFSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2715))

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Abstract

A practical design method is presented which used the fuzzy logic advantages in adaptation of sliding mode control. The combined Fuzzy Adaptive Sliding Control (FASC) is designed in such a way to enhance satisfactory sliding performance and robustness with good level of chattering alleviation. The design approach is valid for a class of nonlinear uncertain MIMO systems. This control algorithm does not require the system model. A supervisory term is appended to the controller to assure the stability of fuzzy sliding mode control through Lyapunov theory. The design approach has been applied to a 2DOF twin propeler system with large uncertainty. Simulation results verified effectiveness of proposed method.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Sharif University of Technology, P.O. Box: 11365-9363, Azadi Ave., Tehran, Iran

    Aria Alasti

  2. Department of Aerospace Engineering, Sharif University of Technology, Iran

    Hamid Bolandhemat & Navid Dadkhah Tehrani

Authors
  1. Aria Alasti
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  2. Hamid Bolandhemat
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  3. Navid Dadkhah Tehrani
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Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Taner Bilgiç

  2. Dept. of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, 9000, Gent, Belgium

    Bernard De Baets

  3. Department of Electrical and Electronics Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Okyay Kaynak

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© 2003 Springer-Verlag Berlin Heidelberg

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Alasti, A., Bolandhemat, H., Tehrani, N.D. (2003). Fuzzy Adaptive Sliding Mode Control for a Class of Uncertain Nonlinear MIMO Systems with Application to a 2DOF Twin Propeller. In: Bilgiç, T., De Baets, B., Kaynak, O. (eds) Fuzzy Sets and Systems — IFSA 2003. IFSA 2003. Lecture Notes in Computer Science, vol 2715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44967-1_60

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  • DOI: https://doi.org/10.1007/3-540-44967-1_60

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40383-8

  • Online ISBN: 978-3-540-44967-6

  • eBook Packages: Springer Book Archive

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