MATEC Web of Conferences (Jan 2015)

Research on the Identification Modeling of Air-Magnet Active Vibration Isolation System

  • Wen Xianglong,
  • Zhu Caizhan,
  • Hu Rongli,
  • Song Chunsheng,
  • Zhang Jinguang

DOI
https://doi.org/10.1051/matecconf/20153502010
Journal volume & issue
Vol. 35
p. 02010

Abstract

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The methods of the identification modeling of air-magnet active vibration isolation system (AMAVIS) are studied. Difference equation model and transfer function model are established respectively in the time domain and frequency domain. The models are analyzed and proved by the experiment. Identification results show that the order of frequency identification is higher than the time identification model. But when it comes to accuracy and convergence, frequency identification model has obvious advantage. This paper provides evidence for subsequent active vibration control. The conclusion is the basic of subsequent experiment and research.