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For the nonlinear and time variation characteristics of a certain type of servo, the traditional PID algorithm has a shortage of slow-response, low-accuracy and the ability of anti-overload is poor. Acorrding to the study of Fuzzy Neural Network algorithm, combine with the traditional PID controller, the Fuzzy Neural Network PID controller is designed. By applying the two algorithms to the servo control system and taking experiments, the result shows that the Fuzzy Neural Network PID controller makes the rise time of the step response reduces from 80ms to 35ms, the overshoot decreases from 10％ to less than 5％, then in the frequency response test, the attenuation of feedback curve reduces from -2.79dB to -0.77dB and the phase-drift decreases from 65° to 35°, further more, the distortion caused by the system nonlinear improve clearly.