Based on the traditional PI control micro-nano manipulated imaging system,the parameters can be online adjusted in real time.In order to obtain better control effects,the simulation of the micro-nano manipulated imaging system of adaptive fuzzy PI control is studied.The principle that the atomic force between the probe and the sample remains unchanged is used,the dynamic process of the micro-nano manipulated imaging system is modeled,and the fuzzy PI control module is added to establish a complete system simulation platform.An adaptive fuzzy PI controller is designed,which can adjust the control parameters online in real time by the fuzzy reasoning of the voltage error and error variations,so as to optimize the control process.At the same time,Matlab is used for simulation.The results show that the adaptive fuzzy PI control algorithm can improve the dynamic and steady-state performance of the system more effectively than the traditional PI control algorithm.