• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Zhou, Jun (Zhou, Jun.) | Yu, Yueqing (Yu, Yueqing.) (学者:余跃庆)

收录:

EI Scopus PKU CSCD

摘要:

A method to identify the dynamic model parameters of modular robot with flexible joint using 3D motion measurement system Optotrak3020 is proposed. Firstly, the robot dynamics model is parameterized in a linear form to exclude the stiffness torque and the scaling problem is eliminated from the parameter matrix. The exciting trajectory is based on the finite Fourier series function and the coefficients of the Fourier series are optimized with the self-adaptive genetic algorithm. When each joint of robot is commanded to follow the single-joint optimized exciting trajectory, the motor position, link position and motor torque are measured and recorded in real time. Finally, using the classic linear least square parameter identification, the dynamic parameter identification experiment is carried out on the first three joints of PowerCube modular robot, and parameters of robot dynamic model are derived.

关键词:

Dynamic models Flexible manipulators Fourier series Genetic algorithms Identification (control systems) Least squares approximations Modular robots Parameter estimation Stiffness matrix

作者机构:

  • [ 1 ] [Zhou, Jun]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Yu, Yueqing]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

来源 :

Robot

ISSN: 1002-0446

年份: 2011

期: 4

卷: 33

页码: 440-448

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 7

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

在线人数/总访问数:204/2923137
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司