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  • 标题:Physical Parameter Estimation for Feedforward and Feedback Control of a Robot Arm with Elastic Joints
  • 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:2018
  • 卷号:51
  • 期号:15
  • 页码:425-430
  • DOI:10.1016/j.ifacol.2018.09.182
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a practical modeling for fast and exact trajectory control of a robot arm with elastic joints. We previously proposed a torsion-angular velocity feedback (TVFB) scheme for suppressing residual vibration of the tip of the robot arm using motor-side measurements only. The scheme utilizes a simple nonlinear observer based on a physically parameterized dynamic model of the robot arm with elastic harmonic-drive (HD) gears. In this paper, we combine a rigid-joint-model based feedforward scheme with the TVFB for executing exact trajectory control, since the implementation of an elastic-joint-model based feedforward is complicated. The TVFB enables to suppress the arm-tip vibration due to feedforward errors between the elastic and rigid joint models. In order to build the combined controller, we propose an accurate physical-parameter-estimation method based on both the linear and nonlinear least squares using the motor-side measurements only. Feedback and feedforward control experiments are conducted to validate the effectiveness of the modeling, estimation and TVFB using a serial two-link robot arm with elastic joints, which simulates the first two joints of a SCARA robot.
  • 关键词:KeywordsRobot armsNonlinear identificationMechanical resonanceFrequency responseMultivariable systemsGrey-box modelingNonlinear optimizationVibration suppression
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