IMPLEMENTATION OF INTELLIGENT CONTROLLERS FOR SPEED CONTROL OF BLDC MOTOR

Abstract

BLDC motor is a DC motor with concept of electronic commutation to provide better control over the speed characteristics of the motor compared to a mechanically commutated permanent magnet DC motor. This advantage comes at a cost of pulsating torque output from the motor, which makes the control strategy with speed reference more difficult as power will be pulsating if a constant voltage is set and under load there will be ripples in the actual motor speed.The control mechanism which uses feedback of the controlled parameter to calculate the error to a reference parameter and produces a control signal to minimize this error based on proportional and integral terms of the error signal by using any digital controller. Here we investigate a PID based control strategy v/s a PI control strategy using manual setting, auto-tuned and PSO algorithm. Application point of view we can use it in fully automatic machine, the behaviour of motor in that machines is continuously pulsating so the control factor comes into the role and we need the driver for it, the controlling part study with optimization that how truly we can enhance the result with our motor output. The study by simulating the BLDC motor on an industry standard software MATLAB Simulink. Due to their high efficiency, compact size, and precise control, Brushless DC (BLDC) motors are widely used in a variety of industrial applications. The traditional control methods for BLDC motors frequently face challenges in achieving optimal performance under varying operating conditions. Intelligent control techniques, such as fuzzy logic control (FLC) and neural network control (NNC), have shown promising results in this area.