• DocumentCode
    1732781
  • Title

    SVR based estimation modeling and robust nonlinear control for a miniature pneumatic curling rubber actuator

  • Author

    Kawashima, Toshihiro ; Wang, Aihui ; Wakimoto, Shuichi ; Deng, Mingcong

  • Author_Institution
    Grad. Sch. of Eng., Tokyo Univ. of Agric. & Technol., Koganei, Japan
  • fYear
    2012
  • Firstpage
    304
  • Lastpage
    309
  • Abstract
    In this paper, a nonlinear modeling and an operator-based robust nonlinear control by using robust right coprime factorization approach for a miniature pneumatic curling rubber actuator described by support vector regression (SVR) based estimation model are investigated. That is, first, the nonlinear modeling is obtained by using moment relationship. Second, the robust nonlinear control system using robust right coprime factorization approach is designed. Finally, by using SVR, the input-output model is estimated by experimental data, and the effectiveness of the proposed scheme is confirmed by using the SVR based estimation model.
  • Keywords
    control system synthesis; matrix decomposition; nonlinear control systems; pneumatic actuators; regression analysis; robust control; rubber; support vector machines; SVR based estimation modeling; input-output model; miniature pneumatic curling rubber actuator; moment relationship; nonlinear modeling; operator-based robust nonlinear control; robust right coprime factorization; support vector regression based estimation model; Actuators; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Mechatronic Systems (ICAMechS), 2012 International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    1756-8412
  • Print_ISBN
    978-1-4673-1962-1
  • Type

    conf

  • Filename
    6329728