• DocumentCode
    1764421
  • Title

    Modeling and Inverse Compensation of Nonmonotonic Hysteresis in VO _2 -Coated Microactuators

  • Author

    Jun Zhang ; Merced, Emmanuelle ; Sepulveda, Nelson ; Xiaobo Tan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • Volume
    19
  • Issue
    2
  • fYear
    2014
  • fDate
    41730
  • Firstpage
    579
  • Lastpage
    588
  • Abstract
    Vanadium dioxide ( VO2) undergoes a thermally induced solid-to-solid phase transition, which can be exploited for actuation purposes. VO2-coated silicon cantilevers demonstrate abrupt curvature changes when their temperature is varied across the phase transition. Unlike the monotonic hysteresis phenomena observed in many other smart materials, the curvature-temperature hysteresis of VO2 actuators is nonmonotonic due to competing mechanisms associated with the material´s phase transition and the different thermal expansion coefficients of the materials that form the bilayered cantilever. Motivated by the underlying physics, a novel model for the nonmonotonic hysteresis that combines a monotonic Preisach hysteresis operator and a quadratic operator is presented. A constrained least-squares scheme is proposed for model identification, and an effective inverse control scheme is presented for hysteresis compensation. For comparison purposes, a Preisach operator with a signed density function and a single-valued polynomial model are considered. Experimental results show that, for a 300- μm -long actuator, the largest modeling errors with the proposed model, the signed Preisach operator, and the polynomial approximation are 46.8, 80.3, and 483 m-1, respectively, over the actuated curvature range of [ -104, 1846] m-1. In addition, both the largest tracking error and root-mean-square error under the proposed inversion scheme are only around 10% of those under the polynomial-based inversion scheme.
  • Keywords
    cantilevers; coating techniques; elemental semiconductors; hysteresis; intelligent actuators; intelligent materials; inverse problems; least mean squares methods; microactuators; polynomial approximation; silicon; solid-state phase transformations; thermal expansion; vanadium compounds; VO2-Si; bilayered cantilever; constrained least square scheme; curvature temperature hysteresis; hysteresis compensation; inverse compensation; inverse control scheme; microactuator coating; model identification; modeling errors; monotonic Preisach hysteresis operator; nonmonotonic actuators; nonmonotonic hysteresis; polynomial approximation; polynomial-based inversion scheme; quadratic operator; root mean square error; signed density function; silicon cantilever coating; single valued polynomial model; smart materials; thermal expansion coefficients; thermally induced solid-to-solid phase transition; tracking error; wavelength 300 mum; Density functional theory; Heating; Hysteresis; Silicon; Temperature measurement; Thermal expansion; Inverse compensation; Preisach operator; nonmonotonic hysteresis; phase-transition materials; vanadium dioxide (${rm VO_2}$);
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/TMECH.2013.2250989
  • Filename
    6482641