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弹箭与制导学报 >

2011 , Vol. 31 >Issue 3: 87 - 90

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2011.03.019

导弹与制导技术

基于H2/H¥理论的BTT 导弹模糊神经网络自适应控制

  • 杜涛 ,
  • 刘刚 ,
  • 杨杰
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  • 第二炮兵工程学院,西安 710025

杜涛(1983-),男,陕西横山人,硕士研究生,研究方向:信息工程。

收稿日期: 2010-07-26

  网络出版日期: 2025-05-30

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H2/H¥ Based Adaptive Control of BTT Missile's Fuzzy-neural Network

  • DU Tao ,
  • LIU Gang ,
  • YANG Jie
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  • The Second Artillery Engineering College, Xi'an 710025, China

Received date: 2010-07-26

  Online published: 2025-05-30

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摘要

针对不确定非线性BTT导弹控制系统,提出了一种基于模糊高斯基神经网络控制设计方法。在设计过程中将干扰项和模型不确定项合为一项,应用模糊神经网络的逼近性质来逼近系统的不确定项,然后利用H2/H¥理论来削弱逼近误差和外部的扰动,通过确定适当的价值函数从而推导出自适应律。最后通过对BTT导弹的六自由度仿真验证该方法的有效性。

关键词： BTT 导弹; H2/H￥控制; 模糊神经网络

本文引用格式

杜涛 , 刘刚 , 杨杰 . 基于H2/H¥理论的BTT 导弹模糊神经网络自适应控制[J]. 弹箭与制导学报, 2011 , 31(3) : 87 -90 . DOI: 10.15892/j.cnki.djzdxb.2011.03.019

Abstract

Aiming at uncertain nonlinear BTT missile control systems, an adaptive control scheme of fuzzy gauss function neural network was proposed for the system. Firstly, the part of the uncertainties was synthesized one term in the design procedure, the fuzzy neural network was designed to approximate the uncertainty, then H2/H¥theory was used to attenuate the uncertainty including approximation errors and disturbances. Performance criterion was defined and adaptive law can be efficiently implemented. The results of simulation demonstrate the effectiveness of the proposed method.

Key words： BTT_missile; H2/H￥control; fuzzy-neural network

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参考文献

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