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Optimal control of switched reluctance motors by genetic algorithms
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| Author(s) |
Alireza SIADATAN |
| Abstract |
In this paper, an optimization method using genetic algorithm (GA) is suggested to find the optimum fire angle of thyristors in switched reluctance motors. The optimum angle is the angle at which the minimum torque ripple and maximum torque are achieved. It is also possible to control the speed in this method. The results are achieved by simulating the actual model of switched reluctance motor 12/8, 50 watts and 3000 rpm in MATLAB. |
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| Filename: | 0526-epe2015-full-15025002.pdf |
| Filesize: | 391.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2016-06-08 by System |
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