Fault tolerant control of active magnetic bearings

Author

Schroder, P. ; Chipperfield, A.J. ; Fleming, P.J. ; Grum, N.

Author_Institution

Dept. Autom. Control & Syst. Eng., Sheffield Univ., UK

Volume

2

fYear

1998

fDate

7-10 Jul 1998

Firstpage

573

Abstract

A nonlinear model of a Rolls-Royce turbomachine´s rotor supported by active magnetic bearings (AMBs) is presented. The model has the capability to model magnetic bearing systems of a variety of different configurations. A multiobjective genetic algorithm (MOGA) is used to design PID controllers for the AMB system with five different bearing configurations. A centralised fault compensation scheme is demonstrated and shown to perform more effectively than a decentralised control system without such a scheme. The fault tolerance characteristics of the five different bearing structures are compared under both decentralised and centralised control

Keywords

centralised control; control system analysis; control system synthesis; decentralised control; electric machines; genetic algorithms; machine bearings; machine control; machine testing; machine theory; optimal control; rotors; three-term control; PID controller design; active magnetic bearings; bearing structures; centralised fault compensation scheme; control design; control simulation; decentralised control system; fault tolerance characteristics; fault tolerant control; multiobjective genetic algorithm; turbomachine rotors; Algorithm design and analysis; Automatic control; Centralized control; Coils; Distributed control; Fault tolerance; Genetic algorithms; Magnetic levitation; Magnets; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 1998. Proceedings. ISIE '98. IEEE International Symposium on

Conference_Location

Pretoria

Print_ISBN

0-7803-4756-0

Type

conf

DOI

10.1109/ISIE.1998.711665

Filename

711665