DocumentCode :
3165069
Title :
Study on force control for fatigue testing machine based on iterative learning control
Author :
Sun, Meng ; Li, Changchun ; Liu, Xiaodong
Author_Institution :
Dept. of Mech. Electron. Eng., Beijing JiaoTong Univ., Beijing, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
4374
Lastpage :
4378
Abstract :
In this thesis, a new control algorithm iterative learning control (ILC) is applied in the force load control for fatigue testing machine due to non-linearity and unmodeled character of electro-hydraulic servo system and repeatability of fatigue testing machine. A model is established to describe electro-hydraulic servo force control system. According to the model, a controller based on ILC is designed and simulated. By the results of simulation, the effectiveness of ILC is verified.
Keywords :
adaptive control; control system synthesis; electrohydraulic control equipment; fatigue testing; force control; iterative methods; learning systems; load regulation; railway electrification; servomechanisms; ILC; electro-hydraulic servo force control system; fatigue testing machine repeatability; force load control; iterative learning control; railway electrification; Equations; Fatigue; Force; Mathematical model; Servomotors; Steady-state; Testing; ILC control; electro-hydraulic servo; fatigue testing machine; repeatability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010149
Filename :
6010149
Link To Document :
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