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Research on Feedforward Control Based on Robot Dynamics Parameters Identification

Xingmao Shao, Shoujun Wang, Liusong Yang, Nan Liu

Year
2020
Citations
9

Abstract

Accurate robot dynamics model can effectively improve the motion control performance of robot, and accurate dynamics parameters are the basis for establishing dynamics model. This paper discusses the parameter identification method of the tandem manipulator and the feedforward control scheme based on dynamics. First, we deduced the basic parameters of the first three joints of the UR5 manipulator, and identified the parameters through experimental sampling and calculation. Secondly, we established a feedforward control mechanism based on dynamics using the Simulink platform, and simulated and verified the feedforward control of the robot three-axis system. The experimental results show that the feedforward control scheme based on robot dynamics can effectively improve the error convergence performance, which proves the effectiveness of the method.

Keywords

Feed forwardControl theory (sociology)Computer scienceRobotDynamics (music)Control engineeringIdentification (biology)Convergence (economics)Motion controlControl (management)

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