张宏

(教授)

 硕士生导师
学位:博士
性别:女
毕业院校:大连理工大学
所在单位:机械工程学院
电子邮箱:jxzh@dlut.edu.cn

Model Reduction of a Load-Sensing Hydraulic System via Activity Index Analysis

发表时间:2019-03-12 点击次数:

论文名称:Model Reduction of a Load-Sensing Hydraulic System via Activity Index Analysis
论文类型:期刊论文
发表刊物:STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING
收录刊物:SCIE、EI
卷号:63
期号:1
页面范围:65-77
ISSN号:0039-2480
关键字:load-sensing; bond graph; modelling; model reduction; activity index; MORA
摘要:A load-sensing hydraulic system is an energy-saving fluid power transmission that supplies "on-demand" flow at a prescribed pressure margin greater than load pressure. In the paper, based on bond graph methodology, a complex and non-linear load-lensing (LS) hydraulic system model is constructed, in which the dynamic behaviours of an LS valve are taken into account. Moreover, a series of experiments are performed to validate the model. Two reduced models based on activity index analysis are obtained to achieve a balance between accuracy and complexity. The results indicate that the system order and computation time can be reduced. By quantifying the relative importance of the elements based on activity index analysis, it shows that the inner leakage of the pump plays a major role in system dynamics due to its correlation to the damping coefficient. Furthermore, the results prove the rationality of representing LS pump dynamics with a fourth-order differential equation and the fact that the dynamics of LS valves have not been well-covered in the literature.
发表时间:2017-01-01