一种导弹导引律及参数的非线性MMAE辨识方法

Nonlinear MMAE-based missile guidance law and parameter identification

针对现代空战中来袭导弹导引律参数辨识问题,提出了一种非线性的多模型自适应(MMAE)辨识方法。采用无色卡尔曼滤波(UKF)方法对非线性多模型集进行状态估计。利用多模型自适应估计方法,设计了导弹的导引律及参数辨识器,在三维坐标内实现了对导弹IPN,APN,OGL和PP导引律及对应导引参数的辨识,并通过算例仿真验证了该方法的快速性和准确性。

Aiming at the information estimation for the coming missile in modern air-combat,a nonlinear Multiple-Model Adaptive Estimation（ MMAE） method was proposed. Adopting UKF method,the nonlinear multiple-model set＇s state was estimated; Applying multiple-model adaptive estimating method,the missile guidance law identification filter was designed,which achieves the identification of the PP,IPN,APN,OGL guidance law and the identification of corresponding guidance parameters in three dimensional coordinates. The simulation results indicate the rapidness and accuracy of this scheme.