Abstract: For airborne laser communication, optical axis stabilization is the premise to establish laser communication link. In order to overcome the negative effect of carrier disturbance and parameters change on optical axis stabilization of coarse tracking system effectively, a proportion-integral-derivative(PID) control algorithm based on fuzzy neural network was designed. The algorithm combines the nonlinear controllability of fuzzy theory with self-learning ability of the neural network, and can achieve the real-time online adjustment of PID parameters. The simulation experiment results show that compared with the traditional PID control method, the fuzzy neural network PID control method can improve dynamic response speed and reduce the overshoot of a system and that the system has strong adaptability and robustness when the carrier is disturbed and the parameters change.