Robust speed control for BLDC motor based on Fuzzy-PID method

Global warming is the main topic in pollution control due to vehicle emissions. The most promising solution of this problem is to change over conventional to electric vehicles. Recently, Instiut Teknologi Sepuluh Nopember (ITS) Surabaya is developing Garasindo Electric Scooter ITS (GESITS). GESITS uses BLDC (Brushless Direct Current) motor. This motor has higher reliability and efficiency than other motor, great performance and big torque. But, controlling technique of this motor is more harder than others, because it requires an electronic circuit that is more complex. So, in this study, the author tries to design a BLDC motor control circuit with Fuzzy Logic Controller (FLC), where the controller is made in order to improve the speed response that better than PID controller, so able to overcome problems in the nonlinear system. From the simulation results was obtained that at speed 1000 RPM and load 2 N.m, steady state error of Fuzzy PID Controller is 0.005% with time response is 0.645 seconds while the PID controller is 0.035% with time response is 0.64536 seconds. When there is a speed alteration both controllers can follow the given reference, but the steady state error of the PID controller is greater than Fuzzy-PID Controller.