• DocumentCode
    2549099
  • Title

    Research on optimal maneuvering opportunity numerical calculation of ballistic missile based on genetic algorithm

  • Author

    Jie, Feng ; Yong, Xian ; Ming-Hai, Wang ; Peng-Tao, Wei

  • Author_Institution
    Res. Inst. of High Technol. in Hong Qing Town, Xi´´an, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    434
  • Lastpage
    438
  • Abstract
    Optimal maneuvering opportunity calculation of ballistic missile is a complicated optimum programming in nonlinear system which need compute trajectories of maneuvering and interception missiles simultaneity, and the requirement of precision and efficiency can not be ignored, so traditional algorithms such as enumeration and heuristic method can not satisfy the requirement because of the low efficiency and narrow applied extension. On a base of relatively motion equation between both sides and guidance equation of EKV, we designed two kinds of optimization models to calculate maneuvering opportunity separately based on GA. The simulation results indicated that the method is effective.
  • Keywords
    ballistics; genetic algorithms; missiles; nonlinear systems; ballistic missile numerical calculation; exoatmospheric kill vehicle; genetic algorithm; guidance equation; interception missiles; motion equation; nonlinear system; optimal maneuvering opportunity; optimization models; optimum programming; Acceleration; Computer vision; Design optimization; Difference equations; Differential equations; Genetic algorithms; Missiles; Navigation; Nonlinear systems; Vehicles; coding; exoatmospheric kill vehicle; genetic algorithm; maneuvering opporitunity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477859
  • Filename
    5477859