Identification of Physically Consistent Dynamics Parameter of the ABB IRB 360-6/1600 Delta Robot and its Use for Time-Optimal Motion Planning under Consideration of Constraint Forces

Daniel Gnad, Hubert Gattringer, Andreas Müller, Wolfgang Höbarth, Roland Riepl, Lukas Messner

Research output: Contribution to journalArticlepeer-review

Abstract

Model-based control schemes, forward dynamics simulations, constraint force computation and time-optimal motion planning have one major thing in common, they all depend on the dynamics parameters of the system. Physical consistency of the dynamics parameters ensures a positive definite mass matrix and correct constraint forces. The most common inverse dynamics identification method – the base-parameters – lack physical consistency. This paper proposes an identification method to identify physically consistent dynamics parameters for Delta-like robots while further showing the effects of friction in passive joints. A tailored model to compute the crucial constraint forces appearing in the mechanism based on the identified dynamics parameters is derived. This model is used to additionally consider constraint forces besides actuation torques for time-optimal motion planning of a typical pick and place task. This is done without any prior CAD data of the robot from the manufacturer.
Original languageEnglish
Article number104823
Number of pages14
JournalRobotics and Autonomous Systems
Volume182
Issue number104823
DOIs
Publication statusPublished - 2024

Fields of science

  • 203015 Mechatronics
  • 203022 Technical mechanics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202035 Robotics
  • 203013 Mechanical engineering

JKU Focus areas

  • Digital Transformation

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