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
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=329582
بازگشت