Simulation of neuro fuzzy and ANFIS in sensorless control of BLDCM drive for high speed application

This paper introduces a simulation of high speed based neuro-fuzzy system and ANFIS by without using the sensor control of brushless dc (BLDC) motor. The output speed of the system is improved with the help of neuro-fuzzy controller and ANFIS. This paper is mainly focuses on ANFIS training and the control system of controller is achieved then the training process and simulation results are carried out by using MATLAB software/simulink. The logic of sensorless control is based on the back EMF zero crossing method. Neuro-fuzzy logic can improve the speed of the machine, result of reduction in both torque ripple and settling time it perform faster and smoother. This method is suitable for implementation of high speed and low power concerned neuro-fuzzy system.