scholarly journals Modelling and system identification of active magnetic bearing systems

2007 ◽  
Vol 13 (2) ◽  
pp. 125-142 ◽  
Author(s):  
Young Man Cho ◽  
Sriram Srinavasan ◽  
Jae-Hyuk Oh ◽  
Hwa Soo Kim
2016 ◽  
Vol 24 (4) ◽  
pp. 1227-1239 ◽  
Author(s):  
Amin Noshadi ◽  
Juan Shi ◽  
Wee Sit Lee ◽  
Peng Shi ◽  
Akhtar Kalam

2007 ◽  
Vol 1 (3) ◽  
pp. 309-314 ◽  
Author(s):  
Eberhard Abele ◽  
Andreas Schiffler ◽  
Stefan Rothenbücher

2017 ◽  
Vol 38 (3) ◽  
pp. 123-133 ◽  
Author(s):  
Jouni Vuojolainen ◽  
Niko Nevaranta ◽  
Rafal Jastrzebski ◽  
Olli Pyrhönen

2006 ◽  
Vol 129 (3) ◽  
pp. 317-322 ◽  
Author(s):  
Robert J. Prins ◽  
Mary E. F. Kasarda ◽  
Samantha C. Bates Prins

Locating the effective rotor origin of an active magnetic bearing (AMB) is an important step toward accurate characterization of the bearing air gaps for field tuning, performance analyses, and some shaft force measurement techniques. Specifically, application of current-based force measurement techniques to AMBs requires accurate modeling of air gaps in order to predict dynamic forces with accuracy. This paper discusses the application of a system identification technique that employs perturbation of the bias current and allows the user to establish the location of the effective rotor origin, an important step in characterizing the actual bearing gap. The technique analyzes the AMB system’s response to the perturbation of bias currents in conjunction with a magnetic circuit model to infer the center position. The effective rotor origin identification technique developed here does not require additional hardware and is suitable for use in the general class of AMBs in field applications. For our purposes, the effective rotor origin of an electro-magnet biased magnetic bearing is defined as the unique rotor location for which a magnetic circuit based force model of the bearing is satisfied for zero position offset of the rotor along each control axis. Note that the effective rotor origin referred to here is the radial origin.


2020 ◽  
Vol 53 (2) ◽  
pp. 1511-1516
Author(s):  
Lukasz Hladowski ◽  
Arkadiusz Mystkowski ◽  
Krzysztof Galkowski ◽  
Eric Rogers ◽  
Bing Chu

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