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

H. Abdelfattah (Electrical Department, Faculty of Technology and Education,Suez University)
Mohamed I Mosaad (Yanbu Industrial College (YIC))
Nagwa F Ibrahim (Electrical Department, Faculty of Technology and Education,Suez University)

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 9, No 2: June 2021

The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference system (ANFIS) controller for Six-Step Brushless DC Motor Drive is introduced. The brushless DC motor’s dynamic characteristics such as torque , current , speed, , and inverter component voltages are showed and analysed using MATLAB simulation. The  propotional-integral (PI) and fuzzy system controllers  are developed., based on designer’s test and error process and experts. The  experimential and hardware resuts for the inverter- driver circuits are presented. The simulation results using MATLAB simulink are conducted to validate the proposed (ANFIS) controller’s robustness and high performance relative to other controllers.