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A Robust Single Input Adaptive Sliding Mode Fuzzy Logic Controller for Automotive Active Suspension System

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

The proposed controller in this paper, which combines the capability of fuzzy logic with the robustness of sliding mode controller, presents prevailing results with its adaptive architecture and proves to overcome the global stability problem of the control of nonlinear systems. Effectiveness of the controller and the performance comparison are demonstrated with chosen control techniques including PID and PD type self-tuning fuzzy controller on a quarter car model which consists of component-wise nonlinearities.

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References

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  7. Omurlu, V.E., Engin, S.N., Kucukdemiral, I.B.: A Robust Single Input Adaptive Sliding Mode Fuzzy Logic Controller for a Nonlinear Automotive Suspension System. In: MED 2004 Conference, Kusadasi, Aydin, Turkey, June 6-9 (2004)

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Yildiz Technical University, Turkey

    Ibrahim B. Kucukdemiral, Seref N. Engin & Galip Cansever

  2. Department of Mechanical Engineering, Yildiz Technical University, Turkey

    Vasfi E. Omurlu

Authors
  1. Ibrahim B. Kucukdemiral
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  2. Seref N. Engin
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  3. Vasfi E. Omurlu
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  4. Galip Cansever
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Kucukdemiral, I.B., Engin, S.N., Omurlu, V.E., Cansever, G. (2005). A Robust Single Input Adaptive Sliding Mode Fuzzy Logic Controller for Automotive Active Suspension System. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_122

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  • DOI: https://doi.org/10.1007/11539506_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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