DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING

This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a Brushless DC Motor (BLDC) widely used in many industrial motion control apparatus and systems. The design procedure of permanent magnet electronically commutated...

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Main Authors:	K. S. , Rama Rao, Azrul, Hisham Bin Othman
Format:	Conference or Workshop Item
Language:	English
Published:	2007
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://scholars.utp.edu.my/id/eprint/2641/ http://scholars.utp.edu.my/id/eprint/2641/1/BLDC_-_GA_-_SA_-_ICIAS_2007_-_Nov.pdf

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author	K. S. , Rama Rao Azrul, Hisham Bin Othman
author_facet	K. S. , Rama Rao Azrul, Hisham Bin Othman
author_sort	K. S. , Rama Rao
building	UTP Institutional Repository
collection	Online Access
description	This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a Brushless DC Motor (BLDC) widely used in many industrial motion control apparatus and systems. The design procedure of permanent magnet electronically commutated BLDC motor is much different from that of traditional motors. Single and multi-objective functions of the motor are derived based on the steady state mathematical model. A constrained optimization on the objective function is performed using Genetic Algorithm (GA) and Simulated Annealing (SA), and optimal parameters are obtained. The resulting effects of varying GA parameters such as population size, number of generations, and probability of mutation and crossover, are also presented. The optimal design parameters of the motor derived by GA are compared with those obtained by SA, another stochastic combinatorial optimization technique.
first_indexed	2025-11-13T07:27:54Z
format	Conference or Workshop Item
id	oai:scholars.utp.edu.my:2641
institution	Universiti Teknologi Petronas
institution_category	Local University
language	English
last_indexed	2025-11-13T07:27:54Z
publishDate	2007
recordtype	eprints
repository_type	Digital Repository
spelling	oai:scholars.utp.edu.my:26412017-03-20T01:57:03Z http://scholars.utp.edu.my/id/eprint/2641/ DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING K. S. , Rama Rao Azrul, Hisham Bin Othman TK Electrical engineering. Electronics Nuclear engineering This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a Brushless DC Motor (BLDC) widely used in many industrial motion control apparatus and systems. The design procedure of permanent magnet electronically commutated BLDC motor is much different from that of traditional motors. Single and multi-objective functions of the motor are derived based on the steady state mathematical model. A constrained optimization on the objective function is performed using Genetic Algorithm (GA) and Simulated Annealing (SA), and optimal parameters are obtained. The resulting effects of varying GA parameters such as population size, number of generations, and probability of mutation and crossover, are also presented. The optimal design parameters of the motor derived by GA are compared with those obtained by SA, another stochastic combinatorial optimization technique. 2007-11-25 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2641/1/BLDC_-_GA_-_SA_-_ICIAS_2007_-_Nov.pdf K. S. , Rama Rao and Azrul, Hisham Bin Othman (2007) DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING. In: IEEE International Conference on Intelligent & Advanced Systems, ICIAS Conference, 25th-27th Nov, 2007, Kuala Lumpur, Malaysia, 25 Nov 2007, Kuala Lumpur, Malaysia.
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering K. S. , Rama Rao Azrul, Hisham Bin Othman DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING
title	DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING
title_full	DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING
title_fullStr	DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING
title_full_unstemmed	DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING
title_short	DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING
title_sort	design optimization of a bldc motor by genetic algorithm and simulated annealing
topic	TK Electrical engineering. Electronics Nuclear engineering
url	http://scholars.utp.edu.my/id/eprint/2641/ http://scholars.utp.edu.my/id/eprint/2641/1/BLDC_-_GA_-_SA_-_ICIAS_2007_-_Nov.pdf

DESIGN OPTIMIZATION OF A BLDC MOTOR BY GENETIC ALGORITHM AND SIMULATED ANNEALING

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