• DocumentCode
    681479
  • Title

    Adaptive control for magnetostrictive actuated nano-positioner

  • Author

    Xinkai Chen ; Ying Feng ; Chun-Yi Su

  • Author_Institution
    Dept. of Electron. & Inf. Syst., Shibaura Inst. of Technol., Saitama, Japan
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    32
  • Lastpage
    37
  • Abstract
    The nano-positioner driven by magnetostrictive actuator is composed of a magnetostrictive actuator and a positioning mechanism (PM). Due to the existence of hysteretic nonlinearity in the magnetostrictive actuator and the friction behavior in the PM, the accurate position control of the nano-stage is a challenging task. This paper discusses the high precision control for the magnetostrictive nano-positioner, where the hysteresis is described by Preisach model. The proposed control law ensures the zero output tracking of the controlled positioner. Experimental results show the effectiveness of the proposed method.
  • Keywords
    actuators; adaptive control; control nonlinearities; friction; magnetoresistance; nanopositioning; PM; Preisach model; adaptive control; friction behavior; hysteretic nonlinearity; magnetostrictive actuated nanopositioner; magnetostrictive actuator; position control; positioning mechanism; zero output tracking; Actuators; Adaptive control; Hysteresis; Magnetic hysteresis; Magnetostriction; Mathematical model; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ROBIO.2013.6739431
  • Filename
    6739431