Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian

In this paper, three versions of Particle Swarm Optimization (PSO) are proposed to estimate the equivalent circuit parameters of squirrel cage induction motor. It is believed that how inertia weight changes during iterations can impact on final results. Constricted coefficients, linear model and ex...

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Main Authors:	Gorjikolaie, Mehran Taghipour, Gholamian, S. Asghar
Format:	Article
Language:	English
Published:	UiTM Perlis 2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://ir.uitm.edu.my/id/eprint/12394/ http://ir.uitm.edu.my/id/eprint/12394/2/AJ_MOHAMMAD%20YAZDANI-ASRAMI%20JI%2014.pdf

id	uitm-12394
recordtype	eprints
spelling	uitm-123942019-03-12T03:41:21Z http://ir.uitm.edu.my/id/eprint/12394/ Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian Gorjikolaie, Mehran Taghipour Gholamian, S. Asghar TJ Mechanical engineering and machinery In this paper, three versions of Particle Swarm Optimization (PSO) are proposed to estimate the equivalent circuit parameters of squirrel cage induction motor. It is believed that how inertia weight changes during iterations can impact on final results. Constricted coefficients, linear model and exponential version are used as inertia weight, each of them presents different variations for inertia weight and consequently for particle movements and speed of such movements. In the linear version, particles start searching process with high speed and their speed will decrease by constant ramp, this kind of variation let to search all solution space in a short time and local search at the final iterations with low speed, also exponential version presents same treatment as linear version with non-linear variations in inertia weight and speed of movement. But, mathematical analysis shows that they trap into local minima and scientists presents constricted version to solve this problem. In order to evaluate proposed versions additional to make changing in PSO’s version, sensitivity of proposed methods is analyzed using three sets of data. Results confirm the ability of proposed method which can estimate parameters with a possible least error. UiTM Perlis 2014 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/12394/2/AJ_MOHAMMAD%20YAZDANI-ASRAMI%20JI%2014.pdf Gorjikolaie, Mehran Taghipour and Gholamian, S. Asghar (2014) Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian. Jurnal Intelek, 8 (2). pp. 27-35. ISSN 2231-7716
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Gorjikolaie, Mehran Taghipour Gholamian, S. Asghar Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian
description	In this paper, three versions of Particle Swarm Optimization (PSO) are proposed to estimate the equivalent circuit parameters of squirrel cage induction motor. It is believed that how inertia weight changes during iterations can impact on final results. Constricted coefficients, linear model and exponential version are used as inertia weight, each of them presents different variations for inertia weight and consequently for particle movements and speed of such movements. In the linear version, particles start searching process with high speed and their speed will decrease by constant ramp, this kind of variation let to search all solution space in a short time and local search at the final iterations with low speed, also exponential version presents same treatment as linear version with non-linear variations in inertia weight and speed of movement. But, mathematical analysis shows that they trap into local minima and scientists presents constricted version to solve this problem. In order to evaluate proposed versions additional to make changing in PSO’s version, sensitivity of proposed methods is analyzed using three sets of data. Results confirm the ability of proposed method which can estimate parameters with a possible least error.
format	Article
author	Gorjikolaie, Mehran Taghipour Gholamian, S. Asghar
author_facet	Gorjikolaie, Mehran Taghipour Gholamian, S. Asghar
author_sort	Gorjikolaie, Mehran Taghipour
title	Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian
title_short	Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian
title_full	Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian
title_fullStr	Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian
title_full_unstemmed	Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian
title_sort	comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / mohammad yazdani-asrami, mehran taghipour gorjikolaie and s. asghar gholamian
publisher	UiTM Perlis
publishDate	2014
url	http://ir.uitm.edu.my/id/eprint/12394/ http://ir.uitm.edu.my/id/eprint/12394/2/AJ_MOHAMMAD%20YAZDANI-ASRAMI%20JI%2014.pdf
first_indexed	2023-09-18T22:49:11Z
last_indexed	2023-09-18T22:49:11Z
_version_	1777417429421391872

Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour Gorjikolaie and S. Asghar Gholamian

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