Brushless DC motor speed control using fuzzy-PID

Brushless DC motors are evolved from the typical brushed DC motors. As the name implicate they didn’t have any brushes or commutator, the conversion of brushless DC motor is done using electronic circuits. Brushless DC motors and AC synchronous motors have so much resemblance. One big difference is that synchronous motors develop sinusoidal back emf whereas rectangular or trapezoidal back emf is obtained for brushless DC motors. BLDC motors are becoming more and more popular due to several advantages which are its high efficiency, compact size, high rigidity, high power density and low maintenance requisite. In recent mode, energy efficiency is a predominant aspect of electrical drive systems due to the insufficiency of energy resources. A BLDC motor needs a control drive to control its speed to get better performance. A lot of control systems like PID,FUZZY, PI, SMC etc have been evolved for speed control of this type of motors. It is tough to acquire satisfactory control characteristics using traditional PID controllers and other controllers. Fuzzy controllers have preferable error detection and alteration, a wider range of performing conditions, and are more effortlessly customizable. A fuzzy-PID controller is tuned by deriving a tuning rule from the PID domain to the fuzzy domain. The proportional, integral, derivative gains of the PID controller are modified according to the fuzzy logic results. This controller is evaluated using MATLAB Simulink. The simulation results show that the fuzzy PID controller can accurately control the speed of the BLDC motor, with smooth operation and very little error or overshooting.