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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2007
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| Online Access: | http://scholars.utp.edu.my/id/eprint/455/ http://scholars.utp.edu.my/id/eprint/455/1/paper.pdf |
| _version_ | 1848658991255650304 |
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| author | K.S.R., Rao A.H.B., Othman |
| author_facet | K.S.R., Rao A.H.B., Othman |
| author_sort | K.S.R., 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. ©2007 IEEE.
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| first_indexed | 2025-11-13T07:23:19Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:455 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:23:19Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:4552017-01-19T08:27:04Z http://scholars.utp.edu.my/id/eprint/455/ Design optimization of a bldc motor by genetic algorithm and simulated annealing K.S.R., Rao A.H.B., 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 IEEE. 2007 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/455/1/paper.pdf K.S.R., Rao and A.H.B., Othman (2007) Design optimization of a bldc motor by genetic algorithm and simulated annealing. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, 25 November 2007 through 28 November 2007, Kuala Lumpur. http://www.scopus.com/inward/record.url?eid=2-s2.0-57949106364&partnerID=40&md5=4ebf389a694d2a7585b08687263ec102 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering K.S.R., Rao A.H.B., 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
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| title_full | Design optimization of a bldc motor by genetic algorithm and simulated annealing
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| title_fullStr | Design optimization of a bldc motor by genetic algorithm and simulated annealing
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| title_full_unstemmed | Design optimization of a bldc motor by genetic algorithm and simulated annealing
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| title_short | Design optimization of a bldc motor by genetic algorithm and simulated annealing
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| 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/455/ http://scholars.utp.edu.my/id/eprint/455/ http://scholars.utp.edu.my/id/eprint/455/1/paper.pdf |