DocumentCode
529733
Title
Evolutionary identification using closed-loop data for a mechanical system
Author
Kawada, Kazuo ; Yamamoto, Toru
Author_Institution
Dept. of Technol. & Inf. Educ., Hiroshima Univ., Hiroshima, Japan
fYear
2010
fDate
18-21 Aug. 2010
Firstpage
1065
Lastpage
1070
Abstract
In this paper, a new system identification method is proposed using genetic algorithm(GA), which the operating data, that is, closed-loop data, is utilized. Not only system parameters but also control parameters are estimated using the GA. Then, since control parameters are known, the reliability of estimates is evaluated in comparison of the estimates with true control parameters. In order to evaluate the effectiveness of the proposed scheme, it is employed for the sway control of crane system.
Keywords
closed loop systems; cranes; genetic algorithms; identification; closed loop data; crane system; evolutionary identification; genetic algorithm; mechanical system; sway control; system identification method; Computational modeling; Control systems; Cranes; Gallium; Load modeling; Mathematical model; System identification; crane; evolutionary computation; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference 2010, Proceedings of
Conference_Location
Taipei
Print_ISBN
978-1-4244-7642-8
Type
conf
Filename
5603108
Link To Document