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基于动态逆和神经网络的机动弹头姿态控制系统设计
引用本文:王辉,黄万伟. 基于动态逆和神经网络的机动弹头姿态控制系统设计[J]. 航天控制, 2007, 25(3): 13-16
作者姓名:王辉  黄万伟
作者单位:北京航天自动控制研究所,北京,100854;北京航天自动控制研究所,北京,100854
摘    要:机动弹头是复杂的非线性系统,它给姿态控制系统设计人员以极大的挑战。为了满足飞行稳定性要求,提高系统的适应性和鲁棒性,本文构造了动态逆神经网络姿态控制系统,设计了慢变量和快变量动态逆,引入了在线神经网络进行逆误差的补偿。实例仿真的结果表明:动态逆和在线神经网络的结合,能够实现弹头的稳定飞行。

关 键 词:动态逆  神经网络  机动弹头  姿态控制
文章编号:1006-3242(2007)03-0013-04
修稿时间:2006-12-13

The Attitude Control System Design of Maneuverable Warhead Based on Dynamic Inversion and Neural Network
Wang Hui,Huang Wanwei. The Attitude Control System Design of Maneuverable Warhead Based on Dynamic Inversion and Neural Network[J]. Aerospace Control, 2007, 25(3): 13-16
Authors:Wang Hui  Huang Wanwei
Abstract:Maneuverable warhead are the complex nonlinear system,which take a great challenge to the attitude control system designers.To meet the flight stability and to improve the adaptability and the robustness of system,the attitude control system with dynamic inversion and neural network is developed firstly.Next,the dynamic inversions to slow states and fast states are designed,and on-line neural network is introduced to compensate the inversion errors.The simulation results demonstrate that the method of the dynamic inversion with neural network can implement the stable flight.
Keywords:Dynamic inversion  Neural network  Maneuverable warhead  Attitude control
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