Fuzzy control schemes for active magnetic bearings

Harri Koskinen

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationFuzzy Logic in Artificial Intelligence
Subtitle of host publication8th Austrian Artificial Intelligence Conference, FLAI '93 Linz, Austria, June 28–30, 1993 Proceedings
EditorsErich P. Klement, Wolfgang Slany
Place of PublicationBerlin
PublisherSpringer
Pages137-145
ISBN (Electronic)978-3-540-47782-2
ISBN (Print)978-3-540-56920-6
DOIs
Publication statusPublished - 1993
MoE publication typeA3 Part of a book or another research book

Publication series

SeriesLecture Notes in Computer Science
Volume695
ISSN0302-9743

    Fingerprint

Cite this

Koskinen, H. (1993). Fuzzy control schemes for active magnetic bearings. In E. P. Klement, & W. Slany (Eds.), Fuzzy Logic in Artificial Intelligence: 8th Austrian Artificial Intelligence Conference, FLAI '93 Linz, Austria, June 28–30, 1993 Proceedings (pp. 137-145). Springer. Lecture Notes in Computer Science, Vol.. 695 https://doi.org/10.1007/3-540-56920-0_15