• DocumentCode
    184175
  • Title

    Modeling, identification and feedforward control of multivariable hysteresis by combining Bouc-Wen equations and the inverse multiplicative structure

  • Author

    Habineza, Didace ; Rakotondrabe, Micky ; Le Gorrec, Yann

  • Author_Institution
    AS2M Dept., Univ. de Franche-Comte, Besançon, France
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    4771
  • Lastpage
    4777
  • Abstract
    This paper deals with the modeling, identification and feedforward control of hysteresis found in multi-degrees of freedom (DOF) piezoelectric actuators. One main characteristic of the considered hysteresis behavior is the strong couplings. To express such multivariable hysteresis, we propose to extend the previous Bouc-Wen hysteresis monovariable model used for 1-DOF actuators. Then we propose to combine the resulting multivariable model with the inverse multiplicative structure in order to derive a multivariable compensator that suppresses the direct and the coupling hysteresis. Experimental tests on a piezotube scanner demonstrate the efficiency of the proposed approach.
  • Keywords
    compensation; feedforward; hysteresis; identification; multivariable control systems; piezoelectric actuators; 1-DOF actuators; Bouc-Wen equations; Bouc-Wen hysteresis monovariable model; coupling hysteresis; inverse multiplicative structure; multidegrees of freedom piezoelectric actuators; multivariable compensator; multivariable hysteresis feedforward control; multivariable hysteresis identification; multivariable hysteresis modeling; piezotube scanner; Actuators; Couplings; Equations; Feedforward neural networks; Hysteresis; Mathematical model; Sensors; Emerging control applications; Nonlinear systems; Smart structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858971
  • Filename
    6858971