A4 Conference proceedings

Online identification of AMB rotor system dynamics using sliding DFT


Publication Details
Authors: Vuojolainen Jouni, Nevaranta Niko, Jastrzebski Rafal, Pyrhönen Olli
Publication year: 2017
Language: English
Title of parent publication: 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
eISBN: 978-1-5090-0409-6
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

Abstract

This paper presents an online nonparametric frequency response
estimation approach for the identification of rotor dynamics of a
high-speed machine supported by an active magnetic bearing (AMB) system.
The closed-loop identification estimation approaches (direct and
indirect) are based on a sliding discrete Fourier transform (SDFT)
method that is applied in conjunction with a known multisine excitation
signal design. The feasibility of the proposed identification approach
is verified with experimental results on an AMB system. According to the
results, the SDFT-based identification approach is applicable to online
identification of rotor system dynamics in a computationally efficient
manner.


Last updated on 2018-19-10 at 07:55