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Austrian Conference on Fuzzy Logic in Artificial Intelligence

FLAI 1993: Fuzzy Logic in Artificial Intelligence pp 137–145Cite as

Fuzzy control schemes for active magnetic bearings

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 695))

Abstract

Active magnetic bearings are used in applications where ordinary bearings meet difficulties. Due to nonlinear structure of active magnetic bearing system fuzzy logic control gives an attractive choice to control these systems. In this paper a fuzzy derivate gain adjusting method for active magnetic bearing control is presented. The method is based on the error and error derivate signals that are used as the basis of the fuzzy inference. With this method the effects of the vibration noise can be decreased.

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Author information

Authors and Affiliations

  1. Machine Automation Laboratory, Technical Research Centre of Finland, Tampere, Finland

    Harri Koskinen

Authors
  1. Harri Koskinen
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Editor information

Erich P. Klement Wolfgang Slany

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© 1993 Springer-Verlag Berlin Heidelberg

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Koskinen, H. (1993). Fuzzy control schemes for active magnetic bearings. In: Klement, E.P., Slany, W. (eds) Fuzzy Logic in Artificial Intelligence. FLAI 1993. Lecture Notes in Computer Science, vol 695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56920-0_15

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  • DOI: https://doi.org/10.1007/3-540-56920-0_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56920-6

  • Online ISBN: 978-3-540-47782-2

  • eBook Packages: Springer Book Archive

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