• DocumentCode
    3354608
  • Title

    Control of supercavitating vehicles using adaptive integral sliding mode

  • Author

    Fan, Jiali ; Lv, Xiaolong ; Su, Li ; Zhao, Guoliang

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    4589
  • Lastpage
    4593
  • Abstract
    Controlling of a supercavitating vehicle has been confronted with various challenging problems such as the potential instability of the vehicle, the unsteady nature of cavity dynamics, and the complex and non-linear nature of the interaction between vehicle and cavity. The vehicle model in the dive plane is given. From complex nonlinear model, a multiple inputs and outputs linear system is obtained by the technology of nonlinear state feedback and feed-forward compensation. Considering the position change of vehicle´s mass centre and the uncertainty of hydrodynamic coefficients, along with the perturbation from un-modelled dynamics, an integral sliding mode controller is designed. A norm adaptation law is used to estimate the upper bounds norm of disturbances, the stability of system is proved by Lyapvnov stability theorem. The results of simulation show the effectiveness of the controller designed in the paper.
  • Keywords
    Lyapunov methods; MIMO systems; adaptive control; compensation; control system synthesis; feedforward; hydrodynamics; large-scale systems; nonlinear control systems; perturbation techniques; stability; state feedback; uncertain systems; underwater vehicles; variable structure systems; Lyapvnov stability theorem; MIMO linear system; adaptive integral sliding mode controller; cavity dynamics; complex nonlinear model; controller design; dive plane; feed-forward compensation; hydrodynamic coefficient uncertainty; nonlinear state feedback; norm adaptation law; supercavitating vehicle control; underwater vehicle; vehicle instability; Adaptive control; Feedforward systems; Linear systems; Nonlinear dynamical systems; Programmable control; Sliding mode control; Stability; State feedback; Uncertainty; Vehicle dynamics; adaptive; integral sliding mode control; supercavitating vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5244809
  • Filename
    5244809