• DocumentCode
    565974
  • Title

    Dynamic modelling and active disturbance rejection controller design for a morphing wing mechanism

  • Author

    Shi, Rongqi ; Song, Jianmei ; Wan, Weiyu

  • Author_Institution
    Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing Institute of Technology, 100081 China
  • fYear
    2012
  • fDate
    24-26 June 2012
  • Firstpage
    1224
  • Lastpage
    1230
  • Abstract
    Dynamic modelling and control system design for an in-plane morphing wing structure, which is proposed by NextGen Aeronautics, Inc., are investigated in this paper. The dynamic model of the morphing wing is developed based on Lagrange method from the viewpoint of energy. The in-plane aerodynamic load acting on the leading edge is considered as an uncertain disturbance. The morphing wing is a complex nonlinear multi-input multi-output system with coupling and actuation redundancy. Therefore, control allocation, decoupling and disturbance rejection are required in the control system design. A control allocator is designed based on pseudo inverse method; two active disturbance rejection controllers, which consist of tracking differentiators, nonlinear state error feedback laws and extended state observers, are adopted for the decoupled systems. The correctness of the model is verified by ADAMS simulation. The control system simulation results compared with PID controller show the abilities of disturbance rejection and decoupling. The results indicate that, integrating Lagrange equation, pseudo inverse control allocation and active disturbance rejection control, is an effective way for modelling and control of complex mechanisms.
  • Keywords
    active disturbance rejection control; control allocation; decoupling; dynamic modelling; morphing wing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification & Control (ICMIC), 2012 Proceedings of International Conference on
  • Conference_Location
    Wuhan, Hubei, China
  • Print_ISBN
    978-1-4673-1524-1
  • Type

    conf

  • Filename
    6260152