Fuzzy Logic Control of a Magnetic Bearing System

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Shi, Juan, Lee, Wee Sit and Vrettakis, Phillip (2008) Fuzzy Logic Control of a Magnetic Bearing System. In: Chinese Control and Decision Conference, 2008 : CCDC 2008, 2-4 July 2008, Yantai, Shandong, China. IEEE, Piscataway, New Jersey, pp. 5105-5110.


In this paper, a fuzzy logic controller (FLC) has been designed to stabilize a MBC500 magnetic bearing system. The FLC uses error and rate of change of error in the position of the rotor as inputs and produces an output voltage to control the current of the amplifier in the magnetic bearing system. A model of the MBC500 magnetic bearing system for the purpose of dynamic simulation is 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 usually employed to secure stability when conventional PD controllers are employed. However, the FLC can stabilize the magnetic bearing system without the use of any notch filters. The FLC has been coded in C and implemented in real time on a digital signal processor (DSP) card.

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/5771
DOI 10.1109/CCDC.2008.4598302
Official URL http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
ISBN 9781424417339 (print) 9781424417346 (online) 97814 24417346
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 ResPubID14630, PD control, fuzzy control, machine control, magnetic bearings, stability, PD controllers, fuzzy logic control, system Identification, control systems, error correction, filters, frequency response, magnetic levitation, magnetic resonance, magnetic separation, voltage control
Citations in Scopus 3 - View on Scopus
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