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Modeling of stress dependent hysteresis nonlinearity based on fuzzy tree for GMA

  • Kang Xu*
  • , Zhen Zhang
  • , Jian Qin Mao
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to high output force and great displacement, Giant Magnetostrictive Actuator (GMA) has a wide application including microposition and active vibration control. However, the inherent hysteresis nonlinearity of GMA impacts severely the stability and precision of the system; especially the complex hysteresis nonlinearity is stress-dependent. Based on the Modified Prandtl-Ishlinskii (MPI) model and identifying the weight parameters by Fuzzy Tree, a method of modeling stress-dependent hysteresis nonlinearity for GMA is proposed in this paper. Simulation results show that there are good agreements between modeling results and experimental results.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008
Pages331-335
Number of pages5
DOIs
StatePublished - 2008
EventIEEE International Conference on Automation and Logistics, ICAL 2008 - Qingdao, China
Duration: 1 Sep 20083 Sep 2008

Publication series

NameProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008

Conference

ConferenceIEEE International Conference on Automation and Logistics, ICAL 2008
Country/TerritoryChina
CityQingdao
Period1/09/083/09/08

Keywords

  • Fuzzy tree
  • Giant magnetostrictive actuator
  • Identification
  • Prandtl-Ishlinskii model
  • Stress-dependent

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