Modeling and simulation of closed loop speed control for BLDC motor

BLDC motors characterized as permanent magnet synchronous motors. Since it has its own unique characteristics such as long life, good efficiency, remarkable starting torque, it has gained good momentum in market hence it is widely used in leading automobile industries. These motors nowadays greatly used in industrial sectors because their construction that suitable for any safety and critical application. They have several advantages over other motors like DC motor and induction motor. BLDC motor does not need any mechanical commutation. In this proposed method, the classical PID controller and fuzzy logic controller is used to make the system stable. Among the two types of fuzzification methods viz. Sugeno and mamdani, mamdani method of tuning is well suited. An Angle value of theta is given as gate signal for BLDC motor. The feedback controllers are directly connected to the inverter to find error which is directly given as input to the BLDC motor for getting a desired output speed. The various dynamic characteristics of BLDC motor such as speed, current and back emf are analyzed using MATLAB - SIMULATION.