• DocumentCode
    1791792
  • Title

    Modeling of hysteresis in piezoelectric actuator based on adaptive IIR filter

  • Author

    Ning Dong ; Fengmin Shan ; Xiangdong Liu

  • Author_Institution
    Key Lab. for Intell. Control & Decision of Complex Syst., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    55
  • Lastpage
    60
  • Abstract
    This paper presents a novel adaptive IIR filter modeling for the hysteresis characteristic in PEA (piezoelectric actuator). First, the PEA hysteresis operators are introduced and the modeling methods of traditional adaptive IIR (infinite-impulse response) filter are discussed. Then, delay operators of IIR adaptive filter are replaced with Backlash operators to compose a new adaptive IIR filter model. During the modeling process, LMS (Least Mean Square) algorithm is used to adjust the weight values. At last the modeling effectiveness is verified via a micro-positioning system experiment platform based on PEA. Experimental results show that the proposed Backlash operator based IIR adaptive filter can achieve accurate hysteresis modeling.
  • Keywords
    IIR filters; adaptive filters; least mean squares methods; piezoelectric actuators; LMS algorithm; PEA hysteresis operators; adaptive IIR filter; backlash operator; hysteresis modeling; infinite-impulse response filter; least mean square algorithm; micropositioning system; piezoelectric actuator; Adaptation models; Adaptive filters; Delays; Finite impulse response filters; Hysteresis; IIR filters; Mathematical model; Backlash operator; LMS algorithm; hysteresis modeling; piezoelectric actuator adaptive IIR filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885671
  • Filename
    6885671