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Extended Dynamic Model for the UR16e 6-Degree-of-Freedom Robotic Manipulator.

John Kern1, Luis Donoso1, Claudio Urrea1

  • 1Electrical Engineering Department, Faculty of Engineering, University of Santiago of Chile, Las Sophoras 165, Estación Central, Santiago 9170020, Chile.

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Summary
This summary is machine-generated.

This study presents an Extended Analytical Dynamic Model (EADM) for the UR16e industrial robot, including actuator and friction dynamics. The validated model accurately predicts robot behavior, crucial for advanced control applications.

Keywords:
PD computed torque controlSimscape Multibodyactuatorsextended analytical dynamic modelmultibody physical modelnonlinear system

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Area of Science:

  • Robotics
  • Mechanical Engineering
  • Control Systems

Background:

  • Manufacturers often provide limited dynamic information for industrial robots.
  • Accurate dynamic models are essential for advanced control and simulation.
  • Existing models may not fully capture complex behaviors like actuator dynamics and friction.

Purpose of the Study:

  • To develop and validate an Extended Analytical Dynamic Model (EADM) for the UR16e 6-Degree-of-Freedom (DoF) industrial robot.
  • To incorporate actuator dynamics and a friction model into the robot's dynamic representation.
  • To establish a rigorous validation methodology for the developed dynamic model.

Main Methods:

  • A two-stage validation process was employed using a Multibody Physical Model (MPM) in MATLAB/Simscape Multibody as a reference.
  • Stage 1: Compared the inverse dynamics torque of the Analytical Dynamic Model (ADM) against the MPM.
  • Stage 2: Tested the EADM and MPM under a Proportional-Derivative Computed Torque Control (PD-CTC) scheme with Cartesian trajectories, comparing joint torques and positions.

Main Results:

  • The ADM showed minimal torque errors (10^-17 to 10^-13 Nm) in the first validation stage.
  • The EADM demonstrated bounded position (≤4×10^-4 rad) and torque errors (≤0.4 Nm for joints 1-3, ≤0.05 Nm for joints 4-6) in the second stage.
  • The validation methodology confirmed the EADM's accurate representation of the MPM's dynamic behavior.

Conclusions:

  • The developed Extended Analytical Dynamic Model (EADM) provides an accurate dynamic representation of the UR16e industrial robot.
  • The proposed two-stage validation methodology, including torque-level checks, is effective for assessing robot dynamic models.
  • The EADM is suitable for applications requiring precise dynamic simulation and control of the UR16e robot.