Brushless DC motor control via fuzzy systems with variable contraction-expansion factors

The Brushless DC Motor (BLDCM) is non-linear, multi-variable, tightly coupled. It has been widely researched in the field of motor control. However, the traditional PI controller method is vulnerable to uncertain factors in the BLDCM drive system, for instance, load disturbance and the motor parameters change, which have an impact on obtaining satisfactory control effects. This paper proposes an adaptive variable universe fuzzy PI compound control strategy with contraction-expansion factors. The self-adjustment of PI control parameters and control rules can be acquired by using variable universe adaptive fuzzy control. Finally, a double closed-loop control system of the BLDCM based on the adaptive variable universe fuzzy control algorithm is designed in Matlab/Simulink environment. Simulation results show that the BLDCM drive system based on the proposed method has faster dynamic response, stronger robustness and anti-interference ability.