Adaptive fuzzy kalman filter applied for identification of rotor/active magnetic bearing dynamics

Yu Hsun Liu, Nan Chyuan Tsai, Hsin Lin Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The main goal of this research is to identify the system parameters of the dynamics of Rotor/Active Magnetic Bearing (Rotor/AMB) system employed in turbo molecular pumps (TMPs). The identification approach adopted in this work is based on experimental analysis and the application of Fuzzy Logic Adaptive Control-Extended Kalman Filter (FLAC-EKF). The estimation error for either system state or system parameters can be gradually converged to zero via self-tuning of the design parameters of FLAC-EKF. The proposed algorithm has been verified by numerical simulations and intensive experiments. It is concluded that the FLAC-EKF can exhibit satisfactory performance in terms of estimation accuracy on the system parameters even under contamination of a certain degree of process disturbance and sensor noise.

Original languageEnglish
Title of host publicationProceedings of the 3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013
Pages6-13
Number of pages8
DOIs
Publication statusPublished - 2013 Jul 12
Event3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013 - Phuket, Thailand
Duration: 2013 Apr 102013 Apr 12

Publication series

NameProceedings of the 3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013

Other

Other3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013
CountryThailand
CityPhuket
Period13-04-1013-04-12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Modelling and Simulation

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