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An Adaptive Fuzzy Sliding-Mode Controller

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Advances in Fuzzy Control

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 16))

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Abstract

In this article a linguistic, heuristics-based adaptation algorithm for a fuzzy sliding-mode controller (FSMC) is presented. The algorithm relies on linguistic knowledge in form of fuzzy if-then rules which reflect how an experienced operator would adapt the controller in order to obtain desired closed-loop behaviour. In Fig. 1 the structures of the underlying control and adaptation loops are shown.

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Author information

Authors and Affiliations

  1. Corporate Technologies, Dept. ZT IK 4, Siemens AG, 81730, Munich, Germany

    R. G. Berstecher & R. Palm

  2. Faculty of Electrical Engineering, Control Engineering Laboratory, Ruhr-University Bochum, 44780, Bochum, Germany

    H. Unbehauen

Authors
  1. R. G. Berstecher
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  2. R. Palm
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  3. H. Unbehauen
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Linköping, S-58183, Linköping, Sweden

    Dimiter Driankov

  2. Corporate Technology Information and Communications, Dept. ZT IK4, Siemens AG, D-81730, Munich, Germany

    Rainer Palm

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© 1998 Springer-Verlag Berlin Heidelberg

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Berstecher, R.G., Palm, R., Unbehauen, H. (1998). An Adaptive Fuzzy Sliding-Mode Controller. In: Driankov, D., Palm, R. (eds) Advances in Fuzzy Control. Studies in Fuzziness and Soft Computing, vol 16. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1886-4_8

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  • DOI: https://doi.org/10.1007/978-3-7908-1886-4_8

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-11053-9

  • Online ISBN: 978-3-7908-1886-4

  • eBook Packages: Springer Book Archive

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