• DocumentCode
    1604388
  • Title

    Adaptive fuzzy mixed H2/H lateral control of nonlinear missile systems

  • Author

    Chen, Yung-Yue ; Chen, Bor-Sen ; Tseng, Chung-Shi

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan
  • Volume
    1
  • fYear
    2003
  • Firstpage
    512
  • Abstract
    An adaptive fuzzy mixed H2/H lateral control of nonlinear missile systems with uncertain disturbances considered is proposed to achieve H2 quadratic tracking with H disturbance rejection. This approach can be applied to control the lateral directional dynamics of the missiles at high angle of attack or generate moments on missile operating in flight regimes where the effectiveness of conventional aerodynamic surfaces is reduced. Using an adaptive fuzzy approximation method, the uncertain nonlinear model of the missile system is estimated. Then, by a mixed H2/H control design, the effects of external disturbance and fuzzy approximation error as well as consumed energy of the controller is minimized. By the skew symmetric property of the missile system and adequate choice of state variable transformation, this problem can be reduced to solve two algebraic Riccati-like equations. Furthermore, a closed-form solution to these two algebraic equations can be obtained with very simple form for the preceding control design.
  • Keywords
    H control; Riccati equations; adaptive control; control nonlinearities; fuzzy control; fuzzy systems; missile control; tracking; adaptive fuzzy control; algebraic Riccati-like equations; closed-form solution; coupled time-varying differential equations; disturbance rejection; flexible structure; high angle of attack; mixed H2/H lateral control; nonlinear missile systems; nonlinear model; quadratic tracking; skew symmetric property; state variable transformation; uncertain disturbances; weighting matrix; Adaptive control; Aerodynamics; Control design; Control systems; Fuzzy control; Fuzzy systems; Missiles; Nonlinear control systems; Programmable control; Riccati equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
  • Print_ISBN
    0-7803-7810-5
  • Type

    conf

  • DOI
    10.1109/FUZZ.2003.1209416
  • Filename
    1209416