机载激光通信的模糊神经网络PID视轴稳定控制

机载激光通信的视轴稳定是建立激光通信链路的前提。为了有效地克服载体扰动与参量改变对粗跟踪系统视轴稳定的不利影响，设计了一种基于模糊神经网络的比例-积分-微分（PID）控制方法。该方法结合模糊理论的非线性控制能力与神经网络的自主学习能力，实现了对PID参量的实时在线调整。结果表明，与传统PID控制方法相比，模糊神经网络PID控制方法提高了系统的动态响应速度，减小了系统超调量，当载体受到扰动与参量改变时，具有较强的自适应性和鲁棒性。

PID control of optical axis stabilization for airborne laser communication based on fuzzy neural network

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.