• DocumentCode
    3573047
  • Title

    Fractional order model identification for Electro-Active smart actuator

  • Author

    Yanmei Liu ; Dingyu Xue ; Zhen Chen ; Zhaohui Liu

  • Author_Institution
    Dept. of Autom., Shenyang Aerosp. Univ., Shenyang, China
  • fYear
    2014
  • Firstpage
    3192
  • Lastpage
    3195
  • Abstract
    Ion-exchange Polymer-Metal Composites known as a type of Electro-Active smart material has complex mechanism, and takes on nonlinear characteristic, which blocks its development and utilization. In this paper, a new model for electro-active smart actuator based on non-integer order models is proposed. An experimental setup has been realized to study the electro-active smart actuator non-integer behavior and an algorithm based on Marquardt of least squares recursive identification has been developed in order to identify a fractional order model of electro-active smart actuator, and the fractional order simulation model is designed comparing the integer order model. Simulation results demonstrate that the behavior of fractional order model is much better than the integer order model, and fractional order model of electro-active smart actuator can achieve better performance.
  • Keywords
    electroactive polymer actuators; intelligent actuators; least squares approximations; nonlinear estimation; recursive estimation; electroactive smart actuator; fractional order model identification; fractional order simulation model; ion exchange polymer-metal composites; least squares recursive identification; non-integer order model; nonlinear characteristic; Aerospace control; Aerospace engineering; Automation; Chirp; Educational institutions; Intelligent actuators; Intelligent control; fractional order; identification; nonlinear; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053241
  • Filename
    7053241