On the appropriate uses of fuzzy systems: fuzzy sliding mode position control of a switched reluctance motor

D. S. Reay; M. Mirkazemi-Moud; B. W. Williams

doi:10.1109/ISIC.1995.525085

On the appropriate uses of fuzzy systems: fuzzy sliding mode position control of a switched reluctance motor

D. S. Reay, M. Mirkazemi-Moud, B. W. Williams

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

The use of switched reluctance motors in position servo applications is complicated by their non-linear torque production characteristics. In this paper, the use of fuzzy logic to overcome this problem is described. The approach taken is that of exact input-output linearisation of the non-linear motor characteristic using a fast inner control loop in conjunction with a slower outer position control loop. The application of adaptive fuzzy systems to learn the input-output linearisation characteristic for a motor has been reported previously. This paper is concerned with the design of an outer, fuzzy logic based, position control loop. Fuzzy controllers are compared and contrasted with linear controllers and with non-linear sliding mode controllers. Experimental results from a 4 kW four phase switched reluctance motor using a fuzzy controller that is equivalent to a simple sliding mode controller are presented and the applicability of fuzzy logic to this control problem is discussed.

Original language	English
Title of host publication	Proceedings of the 1995 IEEE International Symposium on Intelligent Control
Pages	371-376
Number of pages	6
DOIs	https://doi.org/10.1109/ISIC.1995.525085
Publication status	Published - 1995
Event	10th IEEE International Symposium on Intelligent Control - Monterey, CA, USA Duration: 27 Aug 1995 → 29 Aug 1995

Conference

Conference	10th IEEE International Symposium on Intelligent Control
City	Monterey, CA, USA
Period	27/08/95 → 29/08/95

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10.1109/ISIC.1995.525085

Cite this

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title = "On the appropriate uses of fuzzy systems: fuzzy sliding mode position control of a switched reluctance motor",

abstract = "The use of switched reluctance motors in position servo applications is complicated by their non-linear torque production characteristics. In this paper, the use of fuzzy logic to overcome this problem is described. The approach taken is that of exact input-output linearisation of the non-linear motor characteristic using a fast inner control loop in conjunction with a slower outer position control loop. The application of adaptive fuzzy systems to learn the input-output linearisation characteristic for a motor has been reported previously. This paper is concerned with the design of an outer, fuzzy logic based, position control loop. Fuzzy controllers are compared and contrasted with linear controllers and with non-linear sliding mode controllers. Experimental results from a 4 kW four phase switched reluctance motor using a fuzzy controller that is equivalent to a simple sliding mode controller are presented and the applicability of fuzzy logic to this control problem is discussed.",

author = "Reay, {D. S.} and M. Mirkazemi-Moud and Williams, {B. W.}",

note = "INSPEC Accession Number: 5106469; 10th IEEE International Symposium on Intelligent Control ; Conference date: 27-08-1995 Through 29-08-1995",

year = "1995",

doi = "10.1109/ISIC.1995.525085",

language = "English",

isbn = "0-7803-2722-5",

pages = "371--376",

booktitle = "Proceedings of the 1995 IEEE International Symposium on Intelligent Control",

}

Reay, DS, Mirkazemi-Moud, M & Williams, BW 1995, On the appropriate uses of fuzzy systems: fuzzy sliding mode position control of a switched reluctance motor. in Proceedings of the 1995 IEEE International Symposium on Intelligent Control. pp. 371-376, 10th IEEE International Symposium on Intelligent Control, Monterey, CA, USA, 27/08/95. https://doi.org/10.1109/ISIC.1995.525085

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PY - 1995

Y1 - 1995

N2 - The use of switched reluctance motors in position servo applications is complicated by their non-linear torque production characteristics. In this paper, the use of fuzzy logic to overcome this problem is described. The approach taken is that of exact input-output linearisation of the non-linear motor characteristic using a fast inner control loop in conjunction with a slower outer position control loop. The application of adaptive fuzzy systems to learn the input-output linearisation characteristic for a motor has been reported previously. This paper is concerned with the design of an outer, fuzzy logic based, position control loop. Fuzzy controllers are compared and contrasted with linear controllers and with non-linear sliding mode controllers. Experimental results from a 4 kW four phase switched reluctance motor using a fuzzy controller that is equivalent to a simple sliding mode controller are presented and the applicability of fuzzy logic to this control problem is discussed.

AB - The use of switched reluctance motors in position servo applications is complicated by their non-linear torque production characteristics. In this paper, the use of fuzzy logic to overcome this problem is described. The approach taken is that of exact input-output linearisation of the non-linear motor characteristic using a fast inner control loop in conjunction with a slower outer position control loop. The application of adaptive fuzzy systems to learn the input-output linearisation characteristic for a motor has been reported previously. This paper is concerned with the design of an outer, fuzzy logic based, position control loop. Fuzzy controllers are compared and contrasted with linear controllers and with non-linear sliding mode controllers. Experimental results from a 4 kW four phase switched reluctance motor using a fuzzy controller that is equivalent to a simple sliding mode controller are presented and the applicability of fuzzy logic to this control problem is discussed.

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M3 - Conference contribution

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EP - 376

BT - Proceedings of the 1995 IEEE International Symposium on Intelligent Control

Y2 - 27 August 1995 through 29 August 1995

ER -

On the appropriate uses of fuzzy systems: fuzzy sliding mode position control of a switched reluctance motor

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