EPE Association: EPE 1997 - 04: Lecture Session L1d: CONTROL METHODS

EPE 1997 - 04: Lecture Session L1d: CONTROL METHODS
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   FUZZY LOGIC CONTROL OPTIMIZATION OF ELECTRICAL SYSTEMS USING EXPERIMENTAL DESIGNS
By D. Hissel; P. Maussion; G. Gateau; J. Faucher [View]
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Abstract: This paper describes an original experimental tuning method of fuzzy logic controllers parameters. The experimental designs are presented and a description of the tuning factors and the optimization criterion is provided. The methodology is applied on both a DC/DC Buck converter and a permanent magnet synchronous motor with satisfying results.

   NEURO-FUZZY CONTROLLER IN A FIELD ORIENTED CONTROL FOR INDUCTION MOTORS
By L. Baghli; H. Razik; A Rezzoug [View]
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Abstract: This paper is intended to show how to replace a fuzzy controller by a neural network one in a rotor field oriented control for induction motors. The output surface of the fuzzy controller is approached by a neural network. The neural network stmcture used for this controller is presented as well as the learning process necessary to prepare the neural network controller to act like a fuzzy one. Experimental results on position control and speed control under load are presented and commented.

   Fuzzy Control for Electrical Drives?
By Kai Michels [View]
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Abstract: In this paper we point out that a fuzzy controller is nothing else than a characteristic surface controller. Because of this, with a fuzzy controller we cannot obtain a better system performance than using a classical controller. What is new in fuzzy control is just the way how the characteristic surface is derived. Based on this, focussing on the control of electrical drives we suggest possible fields of application of fuzzy control and we name clearly the applications where the use of fuzzy control cannot improve the system performance.

EPE 1997 - 04: Lecture Session L1d: CONTROL METHODS
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1997 - Conference > EPE 1997 - 04: Lecture Session L1d: CONTROL METHODS
	[return to parent folder]

	FUZZY LOGIC CONTROL OPTIMIZATION OF ELECTRICAL SYSTEMS USING EXPERIMENTAL DESIGNS By D. Hissel; P. Maussion; G. Gateau; J. Faucher	[View] [Download]
Abstract: This paper describes an original experimental tuning method of fuzzy logic controllers parameters. The experimental designs are presented and a description of the tuning factors and the optimization criterion is provided. The methodology is applied on both a DC/DC Buck converter and a permanent magnet synchronous motor with satisfying results.

	NEURO-FUZZY CONTROLLER IN A FIELD ORIENTED CONTROL FOR INDUCTION MOTORS By L. Baghli; H. Razik; A Rezzoug	[View] [Download]
Abstract: This paper is intended to show how to replace a fuzzy controller by a neural network one in a rotor field oriented control for induction motors. The output surface of the fuzzy controller is approached by a neural network. The neural network stmcture used for this controller is presented as well as the learning process necessary to prepare the neural network controller to act like a fuzzy one. Experimental results on position control and speed control under load are presented and commented.

	Fuzzy Control for Electrical Drives? By Kai Michels	[View] [Download]
Abstract: In this paper we point out that a fuzzy controller is nothing else than a characteristic surface controller. Because of this, with a fuzzy controller we cannot obtain a better system performance than using a classical controller. What is new in fuzzy control is just the way how the characteristic surface is derived. Based on this, focussing on the control of electrical drives we suggest possible fields of application of fuzzy control and we name clearly the applications where the use of fuzzy control cannot improve the system performance.