Fuzzy control schemes for active magnetic bearings

Harri Koskinen

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

2 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

Magnetic bearings
Fuzzy control
Bearings (structural)
Fuzzy inference
Fuzzy logic
Control systems

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). Berlin: Springer. Lecture Notes in Computer Science, Vol.. 695 https://doi.org/10.1007/3-540-56920-0_15
Koskinen, Harri. / Fuzzy control schemes for active magnetic bearings. Fuzzy Logic in Artificial Intelligence: 8th Austrian Artificial Intelligence Conference, FLAI '93 Linz, Austria, June 28–30, 1993 Proceedings. editor / Erich P. Klement ; Wolfgang Slany. Berlin : Springer, 1993. pp. 137-145 (Lecture Notes in Computer Science, Vol. 695).
@inbook{516259c9e47948df8f221363bf05fc9c,
title = "Fuzzy control schemes for active magnetic bearings",
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.",
author = "Harri Koskinen",
note = "Project code: KAU2003",
year = "1993",
doi = "10.1007/3-540-56920-0_15",
language = "English",
isbn = "978-3-540-56920-6",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "137--145",
editor = "Klement, {Erich P.} and Wolfgang Slany",
booktitle = "Fuzzy Logic in Artificial Intelligence",
address = "Germany",

}

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

Fuzzy control schemes for active magnetic bearings. / Koskinen, Harri.

Fuzzy Logic in Artificial Intelligence: 8th Austrian Artificial Intelligence Conference, FLAI '93 Linz, Austria, June 28–30, 1993 Proceedings. ed. / Erich P. Klement; Wolfgang Slany. Berlin : Springer, 1993. p. 137-145 (Lecture Notes in Computer Science, Vol. 695).

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

TY - CHAP

T1 - Fuzzy control schemes for active magnetic bearings

AU - Koskinen, Harri

N1 - Project code: KAU2003

PY - 1993

Y1 - 1993

N2 - 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.

AB - 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.

U2 - 10.1007/3-540-56920-0_15

DO - 10.1007/3-540-56920-0_15

M3 - Chapter or book article

SN - 978-3-540-56920-6

T3 - Lecture Notes in Computer Science

SP - 137

EP - 145

BT - Fuzzy Logic in Artificial Intelligence

A2 - Klement, Erich P.

A2 - Slany, Wolfgang

PB - Springer

CY - Berlin

ER -

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