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
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;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
