| 基于神经网络动态逆的大迎角导弹解耦设计 |
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| 引用本文： | 黄河,李学强.基于神经网络动态逆的大迎角导弹解耦设计[J].飞行力学,2011,29(3):48-51. |
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| 作者姓名： | 黄河 李学强 |
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| 作者单位： | 东华理工大学机电学院;河南经贸高级技工学校电子工程系; |
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| 基金项目： | 航空科学基金资助(2008056001) |
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| 摘 要： | 导弹大迎角飞行时,系统非线性特性非常明显,各通道间有很严重的气动交叉耦合现象.为实现对系统的非线性解耦,构造了基于神经网络动态逆的大迎角导弹解耦控制器,设计了非线性动态逆系统,利用RBF神经网络逼近逆误差.仿真实验结果表明:所设计的控制系统具有良好的解耦和指令跟踪能力.
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| 关 键 词： | 大迎角 动态逆 神经网络 解耦 |
Decoupling design for high angle-of-attack missile based on neural network and dynamic inversion |
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| HUANG He,LI Xue-qiang.Decoupling design for high angle-of-attack missile based on neural network and dynamic inversion[J].Flight Dynamics,2011,29(3):48-51. |
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| Authors: | HUANG He LI Xue-qiang |
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| Institution: | HUANG He1,LI Xue-qiang2(1.College of Mechanical Engineering,East China Institute of Technology,Nanchang 330013,China,2.Department of Electronic Engineering,Henan Advanced Technical School of Economy and Trade,Xinxiang 453000,China) |
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| Abstract: | The nonlinearity of systems is obvious when a missile flights at high angle-of-attack,which leads to aerodynamic cross-coupling among channels.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 c... |
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| Keywords: | high angle-of-attack dynamic inversion neural network decoupling |
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