Using two PSO-structures approaches to estimate induction machine parameters

This work deals with a parametric identification using the least square method based on the output error. An appropriate particle swarm optimization algorithm is applied as a technique to minimize the objective function in order to obtain simultaneously the electrical and the mechanical parameters....

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Bibliographic Details
Published in:	2009 13th European Conference on Power Electronics and Applications pp. 1 - 8
Main Authors:	M'hamed, B., Ahmed, O.-a., Ali, T., Kadidja, E.-M., Elghalia, B.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2009
Subjects:	Convergence Current measurement Diagnostics Equations Estimation techniques Induction machines Induction motor Induction motors Least squares methods Modelling Optimization Parameter estimation Particle swarm optimization Phase measurement Stators
Online Access:	Get full text
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Summary:	This work deals with a parametric identification using the least square method based on the output error. An appropriate particle swarm optimization algorithm is applied as a technique to minimize the objective function in order to obtain simultaneously the electrical and the mechanical parameters. The validation and comparison of the two algorithms used are obtained from experiments carried out on different machines.
ISBN:	1424444322 9781424444328