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Author:

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

Indexed by:

EI Scopus PKU CSCD

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

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Source :

Robot

ISSN: 1002-0446

Year: 2011

Issue: 4

Volume: 33

Page: 440-448

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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