Identification of robot dynamic parameters based on equimomental systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dynamic parameter identification is essential due to the model-based controller, accurate off-line programming, and validation of simulation results. An identification method is proposed to estimate the torque required for a given trajectory using the concept of equimomental systems which is a dynamically equivalent system of point-masses for the first time. It is experimentally validated by estimating the base parameters and using it for torque reconstruction for a general trajectory on the KUKAiiwa manipulator in order to validate the model identified. Results for the estimated torque using identified model and the torque obtained from robot controller are in the close match.

Original languageEnglish
Title of host publicationProceedings of the Advances in Robotics, AIR 2017
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352949
DOIs
Publication statusPublished - Jun 28 2017
Externally publishedYes
EventConference on Advances in Robotics, AIR 2017 - New Delhi, India
Duration: Jun 28 2017Jul 2 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F132085

Conference

ConferenceConference on Advances in Robotics, AIR 2017
Country/TerritoryIndia
CityNew Delhi
Period6/28/177/2/17

Keywords

  • Dynamic identificaion
  • Equimomnetal system
  • Robotics

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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