http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
임용현(Y. H. Im),이상욱(S. W. Lee),전소연(S. Y. Jeon),황성호(S. H. Hwang) 유공압건설기계학회 2018 유공압건설기계학회 학술대회논문집 Vol.2018 No.6
Performance analysis of the hydraulic actuators is widely used through various experiments or simulations with modeling. In the case of modeling of hydraulic components, various parameters are required and precise measurements or complex experiments are often necessary to get these parameters. Especially, a lot of trial and errorare required to obtain the modeling parameters of a hydraulic motor which is combined with hydraulic components and mechanical elements because of the nonlinear characteristics. To solve this problem, various modeling methods were proposed using statistical techniques instead of analytical techniques. In this paper, a modeling method for a swing motor of an excavator is proposed using artificial neural network, which is composed of a hydraulic motor and various functional valves such as relief valves, makeup valves and antirotation valve, etc. The model for a target swing motor was constructed using artificial neural network, in which the simulation results using commercial software were used as training data. The constructed model was verified by comparing with the computer simulation results through the known Amesim model.