JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 29 Issue 3
May 2014
Article Contents
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 shu

An improved particle swarm optimization algorithm used in brushless DC motor

  • Received Date: 2014-04-27
    Available Online: 2014-05-15
  • 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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