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

This paper proposes a strategy to optimize parameters in a 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 the fuzzy controller are illustrated from the simulation with the MATLAB Environment to compare their performance.
The main objective behind this optimization strategy is to improve the performance of the fuzzy logic control scheme. This approach has been experimentally evaluated on a 1.5 kW permanent magnet brushless motor drive.

Author(s):

Fanambinantsoa Philibert ANDRINIRINIAIMALAZA    
Universitatea Politehnica din Bucuresti
Romania

Nirinarison Jean RAZAFINJAKA    
Higher Politehnic School of Antsiranana
Madagascar

Liviu KREINDLER    
University Politehnica of Bucharest
Romania