• DocumentCode
    3575649
  • Title

    Fuzzy boundary layer adaptive sliding mode controller design for a hypersonic vehicle based on tangent reaching law

  • Author

    Wang Yong-Chao ; Cui Ya-Long ; Cao Li-Jia ; Cai Guang-Bin ; Hu Xiao-Xiang

  • Author_Institution
    Dept. of Autom., Xi´an Inst. of High-tech, Xi´an, China
  • fYear
    2014
  • Firstpage
    164
  • Lastpage
    169
  • Abstract
    Due to the problem of serious nonlinear, strong coupling, uncertain parameters existed in the process of hypersonic vehicle´s flight, this paper designs a fuzzy boundary layer adaptive sliding mode controller based on tangent reaching law. Firstly, the longitudinal model is linearized exactly, and then by introducing a parameters adjusted by online fuzzy logic system as sliding boundary layer, quasi-sliding mode control based on tangent reaching law is applied to the outside of the boundary layer, so the system states can reach the sliding boundary layer quickly. When the system states reach the boundary layer, inputs transform smoothly to the improved boundary control law designed with a saturation function. The system states are ensured to reach the sliding surface in a finite time, and the high frequency chattering is lowered. Simulation results illustrate the effectiveness of the control algorithm.
  • Keywords
    adaptive control; aircraft; control system synthesis; fuzzy control; linearisation techniques; variable structure systems; boundary control law; fuzzy boundary layer adaptive sliding mode controller design; hypersonic vehicle; longitudinal model linearization; online fuzzy logic system; quasisliding mode control; saturation function; sliding boundary layer; tangent reaching law; Adaptation models; Aerodynamics; Algorithm design and analysis; Control systems; Lyapunov methods; Uncertainty; Vehicles; adaptive sliding mode control; fuzzy boundary layer; hypersonic vehicle; saturation function; tangent reaching law;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Control (ICMC), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2537-7
  • Type

    conf

  • DOI
    10.1109/ICMC.2014.7231540
  • Filename
    7231540