Owing to the consistent development in the high energy permanent magnet materials and in the power semiconductors along with control methodologies, permanent magnets brushless DC motors (PM-BLDCs) had been used widely in miscellaneous industrial applications recently. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) controller for a Six-Step BLDC motor drive. This ANFIS controller for BLDC motor drive is used for improving the performance characteristics of the BLDC motor by

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... supporting the profile of the torque, current, speed, and inverter voltages. The effective performance of the proposed ANFIS controller is evaluated through a comparison with the classical proportional-integral-derivative (PID) and Fuzzy controllers. Results disclosed the preeminence of the proposed ANFIS controller over both of the classical PI and Fuzzy controllers. All these simulations are performed using MATLAB/SIMULINK. Keyword: Adaptive neuro-fuzzy inference system Six-Step Control fuzzy logic Control Brushless DC Motor