New kind of generalized Preisach hysteresis model and its identification based on neural network

Xiang Dong Liu*, Yu Liu, Li Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The multi-valued-mapping hysteresis nonlinearity of the piezoceramic actuator seriously degrades the scale accuracy when used in the nanometer positioning system. Based on the classical Preisach model, this paper presents a kind of generalized Preisach model by introducing an average hysteresis function. Then the neural networks are used to identify the key parameters of the model. The results of simulation showed that the generalized Preisach model seemed to be more accurate than the classical Preisach model.

Original languageEnglish
Pages (from-to)135-138
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume27
Issue number2
Publication statusPublished - Feb 2007

Keywords

  • Average hysteresis function
  • Neural network
  • Piezoceramic actuator
  • Preisach function

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