• DocumentCode
    2570940
  • Title

    Research on a H sliding mode algorithm of integrated control and guidance

  • Author

    Wen-Jin, Gu ; Ru-chuan, Zhang ; Hong-chao, Zhao

  • Author_Institution
    Number three Dept., Naval Aeronaut. & Astronaut. Univ., Yantai
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    5064
  • Lastpage
    5068
  • Abstract
    A new approach about design for supersonic anti-ship missiles guidance laws (GLs) was proposed in this study. Firstly, the normal form of the fourth order state equation for integrated guidance and control loop about the yaw plane was formulated considering target uncertainties and control loop dynamics. Next the proposed GLs adopts the sliding mode control approach with adaptation for known bound of uncertainties based on the fuzzy-neural-network-approximator (FNNA) and H infin tracking performance index function, which can be employed to approximate the unknown nonlinear function of system. We provide the stability analyses and demonstrate the effectiveness of our scheme. Finally, the simulation results were presented to show the validity of the proposed method.
  • Keywords
    Hinfin control; control system synthesis; fuzzy control; missile guidance; neurocontrollers; nonlinear functions; performance index; ships; stability; tracking; uncertain systems; variable structure systems; Hinfin sliding mode algorithm; Hinfin tracking performance index function; control loop dynamics; fourth order state equation; fuzzy-neural-network-approximator; integrated guidance control; nonlinear function; stability analyses; super-sonic antiship missiles guidance law design; target uncertainty; yaw plane; Adaptive control; Aerodynamics; Algorithm design and analysis; Centralized control; Fuzzy control; Missiles; Nonlinear dynamical systems; Sliding mode control; Target tracking; Uncertainty; fuzzy-neural-network; guidance law; integrated guidance and control loop; sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598294
  • Filename
    4598294