Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 24Issue 2
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2015> 24(2): 169-172
HE Chang-jian, MENG Xiu-yun. Un-powered gliding aircraft's ballistic missile optimal design[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2015, 24(2): 169-172. doi: 10.15918/j.jbit1004-0579.201524.0205
Citation: HE Chang-jian, MENG Xiu-yun. Un-powered gliding aircraft's ballistic missile optimal design[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2015, 24(2): 169-172.doi:10.15918/j.jbit1004-0579.201524.0205
shu

Un-powered gliding aircraft's ballistic missile optimal design

doi:10.15918/j.jbit1004-0579.201524.0205
  • 1.

    School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China;The First Research Institute of Ministry of Public Security of PRC, Beijing 100048, China

  • 2.

    School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2013-11-05
    Abstract
  • In this dissertation, un-powered gliding aircraft's optimal extended rangeproblem is discussed. The aircraft movement model was built. According to the degree of coupling, the model can be classified into a simple model or a complicated model. Using an optimal control method, two different movement models gave out the aircraft's attitude angle optimal flight path. Complicated model's optimal solution can be found by the genetic algorithm. This method can transfer the analytic solution of complicated model to a numerical value solution. Comparing the simulation results of different methods, it showed that the genetic algorithm combined with the complicated model's numerical value solution had the best performance in control strategy. This method solved the problem in which the highly coupling complicated model's analytic solution was hard to obtain. It verified that the genetic algorithm has validity in the field of extended range solution searching.
    • FullText(HTML)
  • loading
    • References (10)
  • [1]
    Tang Shantong. Summary of the vehicle trajectory optimization and guidance law[J]. Modern Defence Technology,2002,30(1):33-37.
    [2]
    Liu Li, Li Huaijian. The project trajectory optimization of airborne dispenser and the design of trajectory database[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2004,24(3):61-64.
    [3]
    Xue Xiaozhong, Sun Chuanjie. Optimization design for the ballistics of simply guided bombs[J]. Acta Armamentarii,2004,25(3):377-378.
    [4]
    Li Xiang, Liu Chang'an. Analysis and optimum design of the dive trajectory for a cruise missile[J]. Transactions of Beijing Institute of Technology,2006,26(9):774-776. (in Chinese)
    [5]
    John T Betts. Very low-thrust trajectory optimization using a direct SQP method[J]. Journal of Computational and Applied Mathematics, 2000,120:27-40.
    [6]
    Zhou Hao,Chen Wanchun. Optimization of glide trajectory for a hypersonic vehicle[J]. Journal of Beijing University of Aeronautics and Astronautics,2004,27(5):971-973. (in Chinese)
    [7]
    Li Feng,Wang Haiying. A grouping algorithm based on genetic algorithm[J]. Journal of Changchun University of Technology,2013,34(2):215-217. (in Chinese)
    [8]
    Cao Yongchun,Shao Yabin. A new clustering method based on grouping genetic algorithm[J]. Journal of Xihua University,2013,32(1):40-43. (in Chinese)
    [9]
    Wang Hejun. A novel adaptive mutative scale optimization algorithm based on chaos genetic method and its optimization efficiency evaluation[J]. Journal of Central South University, 2012,19:2554-2560. (in Chinese)
    [10]
    Han Peng, Shan Jiayuan, Meng Xiuyun. Re-entry trajectory optimization using a multiple-interval Radau pseudospectral method[J]. Journal of Beijing Institute of Technology, 2013, 22(1): 20-27.
    • 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 (811) PDF downloads(700) 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