Parameter Optimization for a fuzzy logic control of a Permanent Magnet Brushless Motor - 2017


This paper proposes a technique to optimize parameters in a very fuzzy logic control of a Permanent Magnet Brushless Motor. The proposed system uses a neural network optimization to determine all the static parameters of the fuzzy logic control strategy. Analysis of the vector control scheme and therefore the fuzzy controller are illustrated from the simulation with the MATLAB Atmosphere to match their performance. The main objective behind this optimization strategy is to boost the performance of the fuzzy logic management scheme. This approach has been experimentally evaluated on a 1.5 kW permanent magnet brushless motor drive.

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