Analytical Feedback Design via Interpolation Approach for the Strong Stabilization of a Magnetic Bearing System

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Shi, Juan and Lee, Wee Sit (2009) Analytical Feedback Design via Interpolation Approach for the Strong Stabilization of a Magnetic Bearing System. In: 2009 Chinese Control and Decision Conference (CCDC 2009). IEEE, Piscataway, 274- 279.

Abstract

In this paper, a stable controller has been designed via an interpolation approach to stabilize an open-loop unstable MBC500 magnetic bearing system. An 8th-order model of the MBC500 magnetic bearing system was identified from the collected frequency response data. Since there are resonant modes that can threaten the stability of the closed-loop system, notch filters are employed to help to secure stability. The controller has been designed on the basis of a reduced 2nd-order unstable model. The performance of the controller has been tested via simulation and compared with that of a conventional lead compensator. The controller designed via the interpolation approach has also been coded in C and implemented in real time on a Digital Signal Processor (DSP) card. Both simulation and implementation results show that the controller designed via the interpolation approach is superior in both closed-loop step responses and disturbance rejection. Proceedings of a meeting held 17-19 June 2009, Guilin, China

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/5197
DOI 10.1109/CCDC.2009.5195095
Official URL http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
ISBN 9781424427222 (print) 9781424427239 (online)
Subjects Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > SEO Classification > 970109 Expanding Knowledge in Engineering
Keywords ResPubID17103, system identification, analytic feedback system design, interpolation approach, magnetic bearing system
Citations in Scopus 4 - View on Scopus
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