适用于制导控制一体化的反馈线性化滑模控制方法

摘要

In order to improve the veracity,stability and fuel efficiency of the missile for intercepting large maneuvering and high-speed target,a wavelet neural networks backsteppting method(WNNBM)applied to guidance and control integration was designed. With the method,the guidance and control integration model is built and simplified in combination with line of sight angular velocity and control model which stands by kinematics and dynamics respectively to perform the comprehensive de-sign of guidance law and controller. The integrated controller was designed with the linearization feedback method. Because of the characteristics of high degree of model simplification,obviously uncertainty,difficult to settle unmodeled dynamics,the sliding mode was added in the linear feedback control to ensure the robustness of the system. Trajectory simulation was carried out at the end. The simulation results show the method can hit the target effectively,and the synovial control method of feedback linearization can improve the maneuverability and efficiency of missile.%为提高导弹在打击大机动，高速目标时的稳定性、准确性，提高燃油利用率，在此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，将包含目标运动学特性的视线角速度与包含导弹自身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，利用线性化反馈的方法对一体化控制器进行设计，并针对一体化模型简化程度高，不确定性明显，未建模动态难以确定的特点，在线性化反馈控制中加入了滑模项，保证系统整体的鲁棒性；最后，进行弹道仿真。结果表明，该方法可以有效打击目标，反馈线性化的滑膜控制方法可以有效提高系统性能。