Continuous time system identification of magnetic bearing systems using frequency response data

Author

Mohd-Mokhtar, R. ; Wang, L. ; Qin, L. ; Barry, T.

Author_Institution

Sch. of Electr. & Comput. Eng., R. Melbourne Inst. of Technol., Vic., Australia

Volume

3

fYear

2004

fDate

20-23 July 2004

Firstpage

2066

Abstract

This paper focuses on identifying nonlinear unstable magnetic bearing systems using a linear model and frequency response data. Subspace system identification methods adopting a Laguerre network in the frequency domain were used to identify continuous time transfer functions for a test-stand magnetic bearing apparatus. The results show that a continuous time multivariable model was successfully identified based on the experimental data.

Keywords

MIMO systems; continuous time systems; control system synthesis; frequency response; identification; machine bearings; magnetic bearings; nonlinear control systems; production equipment; stochastic processes; Laguerre network; continuous time multivariable model; continuous time system identification; continuous time transfer functions; frequency domain; frequency response data; magnetic bearing system; system identification method; test-stand magnetic bearing apparatus; Continuous time systems; Control systems; Frequency domain analysis; Frequency response; Iterative algorithms; Magnetic levitation; Open loop systems; Shafts; System identification; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2004. 5th Asian

Conference_Location

Melbourne, Victoria, Australia

Print_ISBN

0-7803-8873-9

Type

conf

Filename

1426945