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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cvetkovski, G. Lefley, P. Petkovska, L. Ahmed, S. |
| Copyright Year | 2012 |
| Description | Author affiliation: University of Leicester, Department of Electrical Engineering, Leicester, United Kingdom (Lefley, P.; Ahmed, S.) || Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies, Skopje, Macedonia (Cvetkovski, G.; Petkovska, L.) |
| Abstract | In the past few years Genetic Algorithms (GAs) have proved to be a very powerful and reliable optimisation tool. They have also been successfully applied in the design optimisation of many electromagnetic devices. Therefore, in this paper the optimal design performed on the single phase permanent magnet brushless DC motor (SPBLDCM) is done by using a Genetic Algorithm. The objective function of the optimisation search is selected to be the efficiency of the motor and the design process is defined as a maximisation problem. Based on the values of some specific motor parameters, a comparative analysis of the improved motor and the initial motor design is performed. As an addition to the comparative analysis, a Finite Element Method modeling and analysis of both models is also performed. |
| File Size | 928983 |
| File Format | |
| ISBN | 9781467319706 |
| e-ISBN | 9781467319720 |
| e-ISBN | 9781467319713 |
| DOI | 10.1109/EPEPEMC.2012.6397227 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-04 |
| Publisher Place | Serbia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Brushless DC motors Optimization Permanent magnet motors Genetic algorithms Stator windings permanent magnet motor Finite element method genetic algorithm |
| Content Type | Text |
| Resource Type | Article |
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