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The spatial parallelism of the receiving and launching optical axis of the atmospheric detection lidar system directly affects the validity of the detection data. The high-precision optical path automatic adjustment system is one of the guarantee conditions for the reliable detection of the space-borne lidar. Common optical path automatic adjustment methods can be divided into echo signal intensity method and spot adjustment method. Based on the Space-borne lidar echo signal intensity adjustment method, fuzzy control is introduced, the tracking error and tracking error change rate is selected as the input of the fuzzy controller, and the output is the system adjustment step size. A variable step size segmentation adjustment algorithm is proposed, and the Turtle library in Python is used for adjustment route tracking simulation. The simulation results show that the stability of the fuzzy control system is higher than that of the traditional method. And randomly selected 1000 sample points, and selected the optimal path adjustment step length in the extremely small range to be 5μrad and 1μrad respectively for comparative analysis. It is found that the minimum range adjustment step size will also affect the stability of the system, and the step size is 5μrad adjustment effect is better.
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