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- W2350394787 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." @default.
- W2350394787 created "2016-06-24" @default.
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- W2350394787 date "2014-01-01" @default.
- W2350394787 modified "2023-09-26" @default.
- W2350394787 title "An improved particle swarm optimization algorithm used in brushless DC motor" @default.
- W2350394787 hasPublicationYear "2014" @default.
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