At present, Brushless DC motors (BLDCM) in electromechanical actuators aircraft are still using traditional PID control, which is prone to degradation of motor performance due to perturbation of external load. To achieve the precise control of BLDCM, an approach to motor control mothed based on fuzzy neural networks is presented in the dissertation. Firstly, an analysis of the motor’s mathematical model was conducted; Secondly, a fuzzy neural network controller was constructed on the basis of the model; Finally, a complete motor control system was developed using MATLAB/Simulink for motion control simulation under different working conditions, and make comparisons between traditional PID control method as well as Fuzzy PID control method. It is demonstrated in the results that the fuzzy neural network PID control method can be utilized to achieve better PID control parameters while has better disturbance resistance than traditional PID control method as well as fuzzy PID control method.