Robust multivariable control of active magnetic bearings

Author

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

Author_Institution

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

fYear

1997

fDate

1-7 July 1997

Firstpage

3537

Lastpage

3542

Abstract

A non-linear model of a Rolls-Royce turbo machine´s rotor supported by active magnetic bearings (AMBs) is presented. A multiobjective genetic algorithm (MOGA) is used as a search and optimisation tool for designing AMB controllers. The H_∞ loop-shaping design is used to guarantee the stability and robustness of the controller, and a MOGA is used to select weighting function structure and parameters to ensure certain standards of system performance. The optimisation is performed directly on the non-linear model to ensure that realistic controllers are produced.

Keywords

H^∞ control; control system synthesis; genetic algorithms; machine control; magnetic bearings; multivariable control systems; nonlinear control systems; robust control; rotors (mechanical); search problems; turbomachinery; AMB controller design; H∞ loop-shaping design; MOGA; Rolls-Royce turbo machine; active magnetic bearings; multiobjective genetic algorithm; nonlinear model; optimisation tool; robust multivariable control; rotor; search tool; stability; weighting function structure; Coils; Genetic algorithms; Magnetic levitation; Optimization; Robustness; Rotors; Steady-state; genetic algorithms; magnetic bearings; optimal control; robust control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1997 European

Conference_Location

Brussels

Print_ISBN

978-3-9524269-0-6

Type

conf

Filename

7082662