Dynamic parameter identification of a robot in a simulated environment

Abdullah Aamir Hayat, Vishal Abhishek, Subir K. Saha

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

Abstract

Off-line programming of a robot relies on the kinematic and dynamic model of the robot in the simulated environment. This paper discusses the identification of dynamic parameters of a robot in a simulated environment. The input parameters such as torque and joint values are taken from the RoboAnalyzer (RA), a 3D model based robotics learning software. Serial manipulator KUKA KR5 model having six DOF is taken for identification. The reduced dynamic formulation was done using Newton Euler formulation for serial systems. Quintic trajectory is utilized for identification process as it results in exciting all the dynamic parameters of the reduced model. Base parameters for six DOF robot KUKA KR5 was found in simulated environment. The identified model exactly matches with the dynamic model of RA, as measurement noises are absent. The simulated environment of RoboAnalyzer has an advantage of acquiring the joint values and torque data using Inverse dynamics.

Original languageEnglish
Title of host publicationProceedings of the ECCOMAS Thematic Conference on Multibody Dynamics 2015, Multibody Dynamics 2015
EditorsJosep M. Font-Llagunes
PublisherInternational Center for Numerical Methods in Engineering
Pages1417-1424
Number of pages8
ISBN (Electronic)9788494424403
Publication statusPublished - 2015
Externally publishedYes
Event2015 ECCOMAS Thematic Conference on Multibody Dynamics, Multibody Dynamics 2015 - Barcelona, Spain
Duration: Jun 29 2015Jul 2 2015

Publication series

NameProceedings of the ECCOMAS Thematic Conference on Multibody Dynamics 2015, Multibody Dynamics 2015

Conference

Conference2015 ECCOMAS Thematic Conference on Multibody Dynamics, Multibody Dynamics 2015
Country/TerritorySpain
CityBarcelona
Period6/29/157/2/15

Keywords

  • Dynamic identification
  • RoboAnalyzer
  • Simulation

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Control and Systems Engineering

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