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  • 标题:Rigid-Joint-Model Feedforward with Elastic-Joint-Model Feedback for Motion Control of a 6-DOF Industrial Robot
  • 本地全文:下载
  • 作者:Junji Oaki
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:8462-8469
  • DOI:10.1016/j.ifacol.2020.12.1431
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a fast and exact trajectory control scheme for articulated robot arms with elastic joints due to reduction gears. This scheme provides a practical solution for sophisticated motion control of general industrial robots using motor-side measurements only. We previously proposed a torsion-angular velocity feedback (TVFB) scheme for suppressing residual vibration in the tip of a 2-DOF robot arm, using a physically parameterized nonlinear observer. To execute exact trajectory control, we also combined a feedforward scheme based on a rigid-joint model with TVFB, due to the complexity of implementing feedforward based on an elastic-joint model. TVFB suppressed arm-tip vibrations caused by feedforward mismatch between the rigid- and elastic-joint models. In this paper, we extend the scope of the combined scheme to a 6-DOF industrial robot. We implement a real-time controller with complete direct and inverse dynamic models for the feedback and feedforward. The effectiveness of our approach was successfully validated in several experiments.
  • 关键词:KeywordsRobot armsMultivariable systemsMechanical resonanceVibration suppressionGray-box modelingNonlinear identificationNonlinear optimizationNonlinear observer
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