Title :
Design of a closed-loop data based evolutionary controller
Author :
Kawada, Kazuo ; Yamamoto, Takayuki
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 :
control system synthesis; cranes; genetic algorithms; parameter estimation; reliability; GA; closed loop data; control parameter estimation; crane system; evolutionary controller design; genetic algorithm; operating data; reliability evaluation; sway control; system identification method; Cranes; Data models; Load modeling; Mathematical model; PD control; System identification;
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
Print_ISBN :
978-1-4673-5319-9
DOI :
10.1109/AIM.2013.6584261
