ANFIS Based Speed Control for Sensor Less BLDC Motor

Abstract

Owing to its good torque to inertia ratio, less electromagnetic interference problems (EMI), good efficiency and roughness, the Brushless Direct Current (BLDC) motor finds broader applications. It is ideally suited to super fans, electric and hybrid cars, such as industrial robot actuators, extruder drive motors, and machine tools and home appliances for computer numerical control (CNC) drive. Various speed control strategies were implemented. Existing system uses fuzzy controller logic to control the speed. The proposed system aims in regulating the speed of sensor less BLDC fed with 4 switches 3 phase inverter. The proposed controller is ANFIS. The proposed system is estimated with less cost as it is working with no sensor and a smaller number of solid-state switches. Here, we are implementing back emf difference zero cross approximation technique and hence filter design is made easier. The MATLAB simulation was done and the prototype is developed in the laboratory. A comparison has been done between conventional fuzzy controller and ANFIS controller for the speed response characteristics. The experimental results were specified to bear out the uniqueness of the circuit and regulation of speed using ANFIS is better when compared with fuzzy.