• DocumentCode
    3290703
  • Title

    An intelligent weapon selection method for aircraft weapon control system

  • Author

    Hu Jun-hua ; Long, Liang Xiao

  • Author_Institution
    Weapon Control Syst. Simulation Lab. Eng. Inst, Air Force Eng. Univ Xi´´an, Xi´´an, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    4771
  • Lastpage
    4774
  • Abstract
    In order to solve the problem of how to select weapons intelligently based on target features in the autonomous aircraft weapon control system, an intelligent decision method was proposed. Firstly, a multi-factor rough set decision method for self-contained information system was used to intelligently select the type of weapon based on target features. On this basis, an intelligent selection algorithm for determining the weapon use scheme was designed based on target threats and remained weapons. Weapon use scheme can be generated automatically with the designed algorithm and finally the weapon was selected intelligently based on the selected weapon type and weapon use scheme. The selection results could help the pilot to make decisions. A specific aircraft was presented as an example to validate the feasibility of the proposed method.
  • Keywords
    aerospace robotics; aircraft control; military systems; missile control; rough set theory; weapons; aircraft weapon control system; autonomous aircraft weapon control system; intelligent decision method; intelligent selection algorithm; intelligent weapon selection method; multifactor rough set decision method; self contained information system; target feature; target threats; Aerospace control; Aerospace electronics; Aircraft; Artificial intelligence; Control systems; Military aircraft; Weapons; Aircraft Weapon Control System; Intelligent Decision-making; Rough Set; Target Threat;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5778179
  • Filename
    5778179