Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 14Issue 2
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2005> 14(2): 166-169
ZHAN Li, LUO Xi-shuang, ZHANG Tian-qiao. Decoupling Control Method Based on Neural Network for Missiles[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(2): 166-169.
Citation: ZHAN Li, LUO Xi-shuang, ZHANG Tian-qiao. Decoupling Control Method Based on Neural Network for Missiles[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(2): 166-169.
shu

Decoupling Control Method Based on Neural Network for Missiles

  • 1.

    School of Mechatronics Engineering, Beijing Institute of Technology, Beijng 100081, China; Department of Information and Communication Engineering, Beijing Information Technology Institute, Beijing 100101, China

  • 2.

    School of Mechatronics Engineering, Beijing Institute of Technology, Beijng 100081, China

Funds:SponsoredbytheMinisteriallevelAdvancedResearchFoundation(78002153)
  • Received Date:2003-11-26
    Abstract
  • In order to make the static state feedback nonlinear decoupling control law for a kind of missile to be easy for implementation in practice, an improvement is discussed. The improvement method is to introduce a BP neural network to approximate the decoupling control laws which are designed for different aerodynamic characteristic points, so a new decoupling control law based on BP neural network is produced after the network training. The simulation results on an example illustrate the approach obtained feasible and effective.
    • FullText(HTML)
  • loading
    • References (9)
  • [1]
    F u L ichen,Chang Weider,Yang Junghua,et al.Adaptiv e robust bank to tur n missile autopilot design usingneural netw ork[J]. Journal of Guidance,Control andDynamics,1997,20(2):346-354.
    [2]
    Carter L H,Shamma J S.Gain scheduled bank to turnauto pilot design using linear par ameter varying transformation[J]. Journal of Guidance,Control and Dynamics,1996,19(5):1056-1063.
    [3]
    L ee Sang yong,L ee Ju li,Ha In joong.Nonlinear autopilot for hig h maneuverability of bank to turn missiles[J]. IEEE T ransactions on A erospace and Electronic systems,2001,37(4):1236-1252.
    [4]
    Chen D S,Jain R C.A robust back propag atio n learningalg orithm for function appro ximation[J]. IEEE T ransactions on Neur al Networ k,1994,5(3):467-479.
    [5]
    Qian Xingfang,L in Ruix iong,Zhao Y anan.M issileflight dynamics[M]. Beijing:Beijing I nst itute of T echnology Press,1987.(in Chinese)
    [6]
    X ia Xiaohua.Control and decoupling control of nonlinearsystems[M]. Beijing:Science P ress,1993.(in Chinese)
    [7]
    G ras L C J M,Nijmeijer H.Decoupling in nonlinear systems:From linearity to nonlinear ity[J]. IEE Pr oceedings,1989,136(2):53-62.
    [8]
    L i Shiyo ng.Fuzzy co ntrol,neurocontrol and intelligentcyber netics[M]. Harbin:Harbin I nstitute of T echnolog yPress,1998.(in Chinese)
    [9]
    Hagan M T,M enhaj M B.T raining feedfor ward netwo rks w ith the marquar dt algor ithm[J]. I EEE T ransactions on Neur al Networ k,1994,5(6):989-993.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (187) PDF downloads(2) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map