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AC servo system of micromanipulator’s motion system has some bad characters for control, such as high nonlinear, uncertainty and strong external disturbance. Based on PID control, the parameters of self-adjusting PIDF control, the BP neural networks PID control and the fuzzy adaptive PID control have been adopted in integrating an intelligent system for motion control of micromanipulator. It made fully use of the advantages of these intelligent algorithms and filled up the deficiency of each of them. The designing details on each PID controller and the integrated method and working principle of intelligent system were presented. To validate its performance, the system was introduced into motion controlling for Panasonic AC servo system. Experimental results showed that integrated scheme improved the system accuracy with favorable dynamic and steady performance, and could adapt to load variation and external interference with a strong robustness.