Abstract
Because of the shortage of the online adjustment of parameters in fuzzy logic controller, a fuzzy logic controller based on particle swarm optimization was presented. Improved particle swarm optimization was used to optimize he numerical factor ke, kec and scale factor ku of fuzzy logical controller online increasing the robustness of overall system and this controller was applied in the control of brushless direct current motor. Controller parameters can be adjusted in TMS320F2812DSP experimental platform on-line, with the advantages of fast response, steady-state error is small and adaptability.
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