设计了一种适用于制导控制一体化的小波神经网络反演方法(WNNBM)。首先,将目标运动学特性与导弹动力学的系统模型相结合,建立并简化了俯仰通道制导控制一体化模型,综合设计制导律与控制器;其次,利用自适应反演方法对一体化控制器进行总体设计,并针对一体化模型简化程度高,未建模动态难以确定的特点,引入小波神经网络(WNN)逼近系统模型;最后,进行弹道仿真。结果表明,该方法可以有效打击目标,提高系统性能。

A wavelet neural networks backsteppting method (WNNBM) was designed for integrated guidance and control. First, the integrative control model of missile was built and simplified, the target kinematics characteristics and missile dynamics model of the system were combined, and guidance law and controller were put together. Controller was designed for integrative model by using backstepping method (BSM), in view of high degree of model simplification and uncertainty of unmodeled dynamics, wavelet neural networks (WNN) in backstepping method was used. Finally, trajectory simulations were carried out and simulation results show the method can hit the target effectively and improve maneuverability and efficiency of missile.