Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor

H. Abdelfattah, Mohamed I Mosaad, Nagwa F Ibrahim
2021 Indonesian Journal of Electrical Engineering and Informatics (IJEEI)  
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
more » ... 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
doi:10.52549/ijeei.v9i2.2614 fatcat:zh47qpxzb5bu5dkpywxioc6qri