In order to solve the problem that the surplus torque′s strong interference to the electric load simulator and affects the tracking accuracy, the fuzzy PID control method based on particle swarm optimization is applied to the design of motor controller. Firstly, the mathematical model of the electric loading system is established based on the analysis of the structure and working principle of the loading motor, and feedforward compensation is deduced by the principle of structural invariability; Secondly, because of conventional PID controller cannot deal with the complex nonlinear environment by changing parameters, and the fuzzy PID quantization factor scale factor is difficult to adjust by experience, a compound control strategy based on fuzzy PID and particle swarm optimization algorithm is proposed. Finally, the simulation result shows that the proposed control strategy is superior to the conventional fuzzy PID controller.