Efficient Way of Performance Improvement of Brush Less Motor Using Fuzzy Logic

The permanent magnet brushless DC (BLDC) motor is extensively used in various industries because of its high-power density and ease of control to achieve the desired level of performance. The motor requires suitable speed control for optimal performance. Usually, speed control is achieved using the conventional Proportional Integral (PI) controller in permanent magnet motors. Although PI controllers have a simple control structure and are easy to implement, they pose difficulties where there is some complexity such as non-linearities and load disturbances. However, PI controllers require a precise linear mathematical model. This study proposes a Fuzzy Logic Controller (FLC) to reduce the torque ripple in BLDC motors. The fuzzy logic approach is applied to reduce ripple and improve the dynamic behavior of the motor drive system. The FLC improves the quality of speed response compared to the PI control and reduces the ripple in the motor’s torque output.