Improving Speed Control of BLDCM through Full Adaptive Fuzzy Controllers

A drive for Brushless DC motor (BLDCM), which is fully based on the adaptive fuzzy controllers, is presented in this paper. One of the fuzzy controllers is used in the speed feedback loop to guarantee the accurate speed control. The other fuzzy controller is used in the current feedback loop to track the current change. The proposed full adaptive fuzzy controllers have the characteristics of robustness, adaptive and facility to take advantage of human control knowledge. The ability of the proposed controller is verified in the presence of external load variations using MATLAB simulation with the comparison of conventional PID controller. Simulation results showed the effectiveness and robustness of the proposed approach.