EPE Association: EPE 2003 - Topic 09g: Energy Efficient Drives

EPE 2003 - Topic 09g: Energy Efficient Drives
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2003 - Conference > EPE 2003 - Topic 09: ELECTRICAL MACHINES AND ADJUSTABLE SPEED DRIVES > EPE 2003 - Topic 09g: Energy Efficient Drives

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   Artificial neural network to improve efficiency for an induction motor drive
By B. Pryymak; J.M. Moreno-Eguilaz; J. Peracaula [View]
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Abstract: In this paper a Neural Network based approach is designed to improve efficiency in a vector control induction motor drive. The neural network let estimate the optimum rotor flux in order to minimize induction motor power losses. Inputs to the neural network are stator current and rotor speed. The network has been trained using a loss model of the motor, including magnetic deviations of parameters. Analysis, modeling and simulation results are presented to demonstrate the validity of the proposed method.

   Low losses synchronous motor vector control for large speed range
By A. Mirzaian; S. Siala; J-L. Pouliquen [View]
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Abstract: The control of a high power Synchronous motor, supplied by a Multilevel Inverter is presented. From 0 to the base speed, rated flux, and from the base speed up to the maximum speed ( 5 times the base speed) Field Weakening operations are provided ( Field Weakening range 1 : 5 ). To optimise the Motor / Converter sizing and to reduce the losses, the power factor of the motor is kept to unity in the overall range of the operation. After explaining the Industrial application and the system, simulation and practical results are presented.

EPE 2003 - Topic 09g: Energy Efficient Drives
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2003 - Conference > EPE 2003 - Topic 09: ELECTRICAL MACHINES AND ADJUSTABLE SPEED DRIVES > EPE 2003 - Topic 09g: Energy Efficient Drives
	[return to parent folder]

	Artificial neural network to improve efficiency for an induction motor drive By B. Pryymak; J.M. Moreno-Eguilaz; J. Peracaula	[View] [Download]
Abstract: In this paper a Neural Network based approach is designed to improve efficiency in a vector control induction motor drive. The neural network let estimate the optimum rotor flux in order to minimize induction motor power losses. Inputs to the neural network are stator current and rotor speed. The network has been trained using a loss model of the motor, including magnetic deviations of parameters. Analysis, modeling and simulation results are presented to demonstrate the validity of the proposed method.

	Low losses synchronous motor vector control for large speed range By A. Mirzaian; S. Siala; J-L. Pouliquen	[View] [Download]
Abstract: The control of a high power Synchronous motor, supplied by a Multilevel Inverter is presented. From 0 to the base speed, rated flux, and from the base speed up to the maximum speed ( 5 times the base speed) Field Weakening operations are provided ( Field Weakening range 1 : 5 ). To optimise the Motor / Converter sizing and to reduce the losses, the power factor of the motor is kept to unity in the overall range of the operation. After explaining the Industrial application and the system, simulation and practical results are presented.