Optimizing BLDC Motor Performance with Advanced Fuzzy Logic PID Controller under Dynamic Load Condition

Abstract

These days, green technology is a big deal in every nation on the planet, and since electricity is a clean energy, getting this technology is encouraged. Electric motors are used in the majority of applications for power. A motor is used to transform electrical power into mechanical energy; in other words, electric motors are responsible for the majority of the uses of electrical energy. Brushless direct current (BLDC) motors are becoming more and more popular in various applications because of their small size and inexpensive maintenance. The industries can become more dynamic by substituting the BLDC motors. Improved performance from a BLDC motor need control drive assistance in managing its torque and speed. The performance of a BLDC motor under various control scenarios and load types is examined in this research. A sophisticated Fuzzy PID controller and a standard PID controller are contrasted. In real-world applications, the load variations under study are frequent. The evaluation in this paper observes the motor's speed response during the application and removal of loads. BLDC motors often exhibit jerky behavior when loads are removed. The study shows that gradual load changes produce better results than sudden load changes, regardless of the controller used. Additionally, the Fuzzy PID controller significantly reduces jerks during load removal. The speed-torque characteristics show that jerks are minimized with the Fuzzy PID controller during regular load removal.