Parameter Optimization for a fuzzy logic control of a Permanent Magnet Brushless Motor - 2017 PROJECT TITLE :Parameter Optimization for a fuzzy logic control of a Permanent Magnet Brushless Motor - 2017ABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Real-Time Hardware-in-the-Loop Simulation of Permanent Magnet Synchronous Motor Drives under Stator Faults - 2017 Direct Model Predictive Control of Bidirectional Quasi-Z-Source Inverters Fed PMSM Drives - 2017
