• DocumentCode
    3084979
  • Title

    A Takagi-Sugeno Fuzzy Model of a Rudimentary Angle Controller for Artillery Fire

  • Author

    Bae, Jun Young ; Badr, Youakim ; Abraham, Ajith

  • Author_Institution
    Inst. Nat. des Sci. Appl., INSA-Lyon, Lyon
  • fYear
    2009
  • fDate
    25-27 March 2009
  • Firstpage
    59
  • Lastpage
    64
  • Abstract
    Modern artilleries have the capability to hit targets with high level of accuracy. However, a problem arises with the current firing procedure when neither the field observer nor the fire direction center is available to support the artillery crew with the necessary information. In this situation, the detection of environmental conditions would involve a number of uncertainties and due to this reason, conventional control techniques will not deliver satisfying solutions since the adjustment to the artillery´s firing line will be based on data that is approximate rather than precise. In this paper, we propose a firing angle control system based on the Takagi-Sugeno fuzzy model. The advantage of fuzzy logic is the ability to tune certain variables easily by varying the linguistic rules or input variables. Experiments show that effective results can be obtained using a fuzzy model, while demonstrating that the model could come in handy when the firing angle has to be determined instantaneously with very vague information about the target.
  • Keywords
    fuzzy control; fuzzy logic; military equipment; weapons; Takagi-Sugeno fuzzy model; artillery firing angle control system; environmental condition detection; fuzzy logic; linguistic rule; Computational modeling; Control system synthesis; Control systems; Fires; Fuzzy control; Fuzzy logic; Fuzzy systems; Input variables; Mathematical model; Takagi-Sugeno model; ..; Fuzzy logic; Fuzzy reasoning; Takagi-Sugeno fuzzy model; controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-3771-9
  • Electronic_ISBN
    978-0-7695-3593-7
  • Type

    conf

  • DOI
    10.1109/UKSIM.2009.105
  • Filename
    4809738