• DocumentCode
    3441432
  • Title

    Study on NN-Preisach hybrid model of piezoelectric actuator

  • Author

    Huawei, Ji ; Yongqing, Wen

  • Author_Institution
    Sch. of Mech. Eng., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    653
  • Lastpage
    657
  • Abstract
    Piezoelectric actuator is being widely used in vibration suppression and micro positioning applications for fast response, nanometer resolution, no backlash, no friction and bigger driving force. However, its inherent hysteresis characteristics between the input voltage and output displacement limit its control accuracy. An efficient way to eliminate this limitation is to model the nonlinearity. In order solve the problem, the characteristic of piezoelectric actuator was introduced, and its static hysteresis was studied by experiment. Artificial neural network was used to predict the output value that its input did not appear in the input numerical simulation form, and a NN-Preisach model was put forward to describing the hysteresis nonlinearity. Comparing previous models, the proposed model is more accurate to predict the output displacement, and overcomes some disadvantages of Preisach model.
  • Keywords
    control nonlinearities; hysteresis; neural nets; piezoelectric actuators; NN-Preisach hybrid model; artificial neural network; micro positioning applications; nonlinear hysteresis; numerical simulation; piezoelectric actuator; static hysteresis; vibration suppression; Artificial neural networks; Predictive models; NN-Preisach hybrid model; hysteresis nonlinearity; neural network; piezoelectric actuator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658388
  • Filename
    5658388