Fuzzy Logic Control of a magnetic bearing system

Author

Shi, Juan ; Lee, Wee Sit ; Vrettakis, Philip

Author_Institution

Sch. of Electr. Eng., Victoria Univ., Melbourne, VIC

fYear

2008

fDate

2-4 July 2008

Firstpage

5105

Lastpage

5110

Abstract

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.

Keywords

PD control; fuzzy control; machine control; magnetic bearings; stability; PD controllers; fuzzy logic control; magnetic bearing system; stability; Control systems; Error correction; Filters; Frequency response; Fuzzy logic; Magnetic levitation; Magnetic resonance; Magnetic separation; Stability; Voltage control; Fuzzy Logic Controller (FLC); Magnetic Bearing System; System Identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4598302

Filename

4598302