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Establishment of Constraint Relation of Robot Dynamics Equation Based on Kinematic Influence Coefficients Method    

文献类型:期刊文献

中文题名:Establishment of Constraint Relation of Robot Dynamics Equation Based on Kinematic Influence Coefficients Method

作者:徐亚茹[1,2];李克鸿[1,2];商新娜[2];金晓明[1,2];刘荣[3];张建成[1,2]

第一作者:徐亚茹

机构:[1]Beijing Engineering Research Center of Smart Mechanical Innovation Design Service,Beijing Union University,Beijing 100027,China;[2]College of Robotics,Beijing Union University,Beijing 100020,China;[3]Robotics Institute,Beihang University,Beijing 100191,China

第一机构:北京联合大学

年份:2024

卷号:29

期号:3

起止页码:450-456

中文期刊名:Journal of Shanghai Jiaotong university(Science)

外文期刊名:上海交通大学学报(英文版)

收录:Scopus;PubMed

基金:the Beijing Municipal Scienceand Technology Project (No.KM202111417006);the Academic Research Projects of Beijing Union University (Nos.ZK10202305 and ZK80202004);the Beijing Municipal Science and Technology Project (No.KM202111417005)。

语种:中文

中文关键词:industrial robot;constraint relationship;kinematic influence coefficients method;Jacobian matrix;Hessian matrix

摘要:Due to the diversity of work requirements and environment,the number of degrees of freedom(DOFs)and the complexity of structure of industrial robots are constantly increasing.It is difficult to establish the accurate dynamical model of industrial robots,which greatly hinders the realization of a stable,fast and accurate trajectory tracking control.Therefore,the general expression of the constraint relation in the explicit dynamic equation of the multi-DOF industrial robot is derived on the basis of solving the Jacobian matrix and Hessian matrix by using the kinematic influence coefficients method.Moreover,an explicit dynamic equation with general constraint relation expression is established based on the Udwadia-Kalaba theory.The problem of increasing the time of establishing constraint relationship when the multi-DOF industrial robots complete complex task constraints is solved.With the SCARA robot as the research object,the simulation results show that the proposed method can provide a new idea for industrial robot system modeling with complex constraints.

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