In view of such flaws as the low speed precision control of the DC brushless motor with the electronic differential controller in use, as well as the low stability in the steering of wheeled robots, an electronic differential control strategy based on fuzzy PID has thus been proposed, which combines the deviations of the rotating speed and the derivative of the deviation of wheeled robots to adjust the PID parameters on line. With respect to the electric differential control system based on fuzzy PID, a design has been made of the control rules that meet the requirements for the steering control of wheeled robots, followed by the application of MATLAB/Simulink to the simulation of the motor speed and torque waveforms of the designed system. The simulation results show that, compared with the traditional PID control, the design system is characterized with a higher accuracy and faster dynamic response, thus ensuring the stationarity of the wheeled mobile robot in the steering state.