• DocumentCode
    1991380
  • Title

    Modeling hysteresis using hybrid method of improved describing function and neural networks

  • Author

    Zhao, Tong ; Zhai, Yawei

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    1117
  • Lastpage
    1120
  • Abstract
    A. new method of establishing hysteresis model using describing function of backlash and neural networks is proposed in this paper. With the describing function of backlash N(A), a mathematical expression is written, which combined with sinusoidal function working as input function can well establish major hysteresis loop. Finally, we established the modeling of neural network based on the new method. The established modeling can well approximate a given real data. The simulation result proves the validity and feasibility of the scheme.
  • Keywords
    hysteresis; neurocontrollers; nonlinear control systems; backlash describing function; hybrid method; hysteresis loop; hysteresis model; mathematical expression; neural networks; sinusoidal function; Artificial neural networks; Biological neural networks; Data models; Hysteresis; Magnetic hysteresis; Mathematical model; Backlash; Describing Function; Hysteresis Loop; Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6057903
  • Filename
    6057903