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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
Published: 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/2641/1/BLDC_-_GA_-_SA_-_ICIAS_2007_-_Nov.pdf
http://eprints.utp.edu.my/2641/
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spelling my.utp.eprints.26412017-03-20T01:57:03Z 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 http://eprints.utp.edu.my/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. http://eprints.utp.edu.my/2641/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
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
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.
format Conference or Workshop Item
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
title 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_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_sort design optimization of a bldc motor by genetic algorithm and simulated annealing
publishDate 2007
url http://eprints.utp.edu.my/2641/1/BLDC_-_GA_-_SA_-_ICIAS_2007_-_Nov.pdf
http://eprints.utp.edu.my/2641/
_version_ 1738655208352776192
score 13.211869

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