针对防空导弹的飞行控制问题,提出一种基于模糊小波网络的导弹自动驾驶仪设计方法。该方法利用模糊小波网络良好的学习和参数自调整能力,因而使建立的系统辨识器及控制器能够很好地近似系统动态特性,逼近最佳控制效果。给出了应用该方法的具体实现步骤,结合导弹飞行的全弹道典型特征点参数,通过仿真实验说明了设计方法的有效性。 Aimed at the flight control of air defense missiles, a design method of missile autopilot based on fuzzy wavelet network is proposed. This method uses the good learning and self-adjusting ability of the fuzzy wavelet network, so that the established system identifier and controller can well approximate the dynamic characteristics of the system and approach the best control effect. The concrete steps of the method are given. Combined with the characteristic parameters of the whole trajectory of the missile, the simulation results show the effectiveness of the design method.