【摘要】 空空导弹大攻角飞行时,由于出现非对称涡及涡破裂现象,导致强烈的通道间耦合并呈现非线性特性;为提高系统控制品质,实现通道间解耦,文中基于非线性动态逆系统原理,利用了RBF神经网络逼近逆误差,构造了基于神经网络动态逆的大攻角导弹解耦控制器;最后,对控制系统进行了仿真分析,实验结果表明了该方法的可行性。更多还原

【Abstract】 The strong coupling between channels and non-linear characteristics is lead by asymmetric vortex and vortex breakdown phenomenon under the hign angle of the air to air missile.In order to decoupling the nonlinear of the system,decoupling design for high angle-of-attack missile based on neural network and dynamic inversion is presented,the nonlinear dynamic inverse system is designed,and the RBF neural network approximation inversion error is developed.At last,the simulation experimental results show that the performance of decoupling and command tracking by this designed control system is quite good.更多还原