Construction of Rotor/AMB dynamic model applied for TMP using self-tuning Kalman Filter

Yu Hsun Liu, Nan-Chyuan Tsai, Hsin Lin Chiu

Research output: Contribution to journalArticle

3 Citations (Scopus)

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
Pages (from-to)158-167
Number of pages10
JournalMechatronics
Volume24
Issue number2
DOIs
Publication statusPublished - 2014 Mar 1

Fingerprint

Magnetic bearings
Extended Kalman filters
Kalman filters
Fuzzy logic
Dynamic models
Tuning
Rotors
Pumps
Error analysis
Contamination
Sensors
Computer simulation
Experiments

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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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.",
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Construction of Rotor/AMB dynamic model applied for TMP using self-tuning Kalman Filter. / Liu, Yu Hsun; Tsai, Nan-Chyuan; Chiu, Hsin Lin.

In: Mechatronics, Vol. 24, No. 2, 01.03.2014, p. 158-167.

Research output: Contribution to journalArticle

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