Aiming at the problem of poor imaging quality of two-dimensional laser warning system in extreme envi- ronment, an adaptive control system based on Kalman algorithm is designed. Two InGaAs focal plane array detectors are used to measure the Angle of the incoming laser, respectively, and the Kalman algorithm is derived and optimized and verified by simulation. At the same time, based on the improved Kalman algorithm, the adaptive integral control of the two detectors is realized by FPGA to achieve the adaptive control of the system output. The results show that the average error of Kalman prediction for coarse measurement is 0. 78%, and that for fine measurement is 0. 56%. Under the illumination of 532 nm simulated light source, the adaptive control system reduces the interference of under-expo- sure and over-exposure under extreme light intensity, and the spot size is stable at about 55 pixels under different light intensity. The experiments show that the adaptive control system can improve the imaging stability of the laser warning system under different light intensity, which is of great significance for the laser warning system to work in harsh envi- ronment.