Title :
Using two PSO-structures approaches to estimate induction machine parameters
Author :
Hamed, Bounekhla M. ; Ahmed, Ould-Aissa ; Ali, Taieb ; Kadidja, E.-M. ; Elghalia, Boudissa
Author_Institution :
Univ. Saad Dahleb of Blida, Blida, Algeria
Abstract :
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.
Keywords :
induction motors; particle swarm optimisation; induction machine parameters; induction motor; least square method; particle swarm optimization; Convergence; Current measurement; Equations; Induction machines; Induction motors; Least squares methods; Parameter estimation; Particle swarm optimization; Phase measurement; Stators; Diagnostics; Estimation techniques; Induction motor; Modelling; Optimization;
Conference_Titel :
Power Electronics and Applications, 2009. EPE '09. 13th European Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4432-8
Electronic_ISBN :
978-90-75815-13-9
