SUN Yu-sheng and XUE He-jie. An improved particle swarm optimization algorithm used in brushless DC motor[J]. Journal of Light Industry, 2014, 29(3): 48-51. doi: 10.3969/j.issn.2095-476X.2014.03.011
Citation:
SUN Yu-sheng and XUE He-jie. An improved particle swarm optimization algorithm used in brushless DC motor[J]. Journal of Light Industry, 2014, 29(3): 48-51.
doi:
10.3969/j.issn.2095-476X.2014.03.011
An improved particle swarm optimization algorithm used in brushless DC motor
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College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
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Received Date:
2014-04-27
Available Online:
2014-05-15
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Abstract
Aiming at overcoming the weak anti-jamming capability when brushless DC motor of electric vehicle runs under the base speed range,an improved particle swarm optimization(PSO) algorithm was designed,that is,by changing the learning factor and inertia weight to optimize quantitative factors,scale factor and control rules of the fuzzy controller.The simulation results verifid that the algorithm had features of short control time,small overshoot,high anti-interference,so it could made the brushless DC motor achieve stable operation state over a wide speed range.
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Proportional views
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