DocumentCode
329582
Title
Online genetic auto-tuning of mixed H2/H∞ optimal magnetic bearing controllers
Author
Schroder, P. ; Green, B. ; Grum, N. ; Fleming, P.J.
Author_Institution
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
fYear
1998
fDate
1-4 Sep 1998
Firstpage
1123
Abstract
A Rolls-Royce electrical pump running on active magnetic bearings (AMBs) is described. This rig is controlled by a digital signal processor connected by a custom interface to MATLAB/Simulink hosted by a PC. The PC is able to alter the controller parameters running on the DSP in real time and log sensor data. This interface is used to define an online controller optimisation problem in MATLAB with H∞ and H2 measures of tracking as design objectives. A multiobjective genetic algorithm is used to drive the optimisation for the AMB system. The performance of an optimised controller is compared to that of a manually tuned controller and significant improvements in robustness are observed
Keywords
pumps; H∞ control; H2 control; MATLAB/Simulink; Rolls-Royce; active magnetic bearing; auto-tuning; electrical pump; genetic algorithm; optimisation; real time system;
fLanguage
English
Publisher
iet
Conference_Titel
Control '98. UKACC International Conference on (Conf. Publ. No. 455)
Conference_Location
Swansea
ISSN
0537-9989
Print_ISBN
0-85296-708-X
Type
conf
DOI
10.1049/cp:19980416
Filename
726077
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