DocumentCode
630663
Title
Multi-parametric extremum seeking-based learning control for electromagnetic actuators
Author
Benosman, Mouhacine ; Atinc, Gokhan M.
Author_Institution
Mitsubishi Electr. Res. Labs., Cambridge, MA, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
1914
Lastpage
1919
Abstract
We study in this paper the problem of adaptive robust control of electromagnetic actuators. We first design a nonlinear controller that stabilizes locally the error dynamics. Next, we complement this nonlinear controller with a multi-parametric extremum seeking control to tune the feedback gains of the nonlinear controller. We use numerical tests to demonstrate the performance of this controller in dealing with model uncertainties.
Keywords
adaptive control; electromagnetic actuators; feedback; learning systems; nonlinear control systems; optimal control; robust control; uncertain systems; adaptive robust control; electromagnetic actuators; error dynamics; feedback gains; model uncertainties; multiparametric extremum seeking-based learning control; nonlinear controller design; Actuators; Electromagnetics; Inductance; Mathematical model; Robustness; Stability analysis; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580115
Filename
6580115
Link To Document