Classification of causality in bond graph model for linear actuator revolute joint mechanism

被引：0

作者：

Li, Xiao-Tian ^{[1
]}

Wang, An-Lin ^{[1
]}

机构：

[1] School of Mechanical Engineering, Tongji University, Shanghai,201804, China

来源：

Dongbei Daxue Xuebao/Journal of Northeastern University | 2016年 / 37卷 / 07期

关键词：

Graph theory;

D O I：

10.3969/j.issn.1005-3026.2016.07.020

中图分类号：

学科分类号：

摘要：

Bond graph modeling for linear actuator revolute joint mechanism which uses Lagrange approach or stiff compliance approach with new elements inserted causes stiff equation problems, and causality in bond graph is not classified and modularized. A causality classification method is proposed for modeling with this kind of mechanism. Classifications for elements are classified as main-body, cylinder and lever type by analysis of element bond graphs and connection patterns, and joints are classified as root, pusher, pushed and load type to maintain the original causal link. Causality determination principles are proposed by these definitions to make modeling orderliness. An excavator mechanism modeling and simulation demonstration proved that proposed method is suitable for mechanism cases of earthmoving vehicles. © 2016, Editorial Department of Journal of Northeastern University. All right reserved.

引用

页码：1003 / 1007