Laser Tracker error modeling and kinematic calibration strategy

Javier Conte*, Jorge Santolaria, Ana Cristina Majarena, Agustin Brau, Juan José Aguilar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Calibration of Laser Tracker systems is based most times in the determination of its geometrical errors. Some standards as the ASME B89.4.19 [1] and the VDI 2617-10 [2] describe different tests to calculate the geometric misalignments that cause systematic errors in Laser Tracker measurements. These errors are caused not only because of geometrical misalignments and other sources of error must also be taken in count. In this work we want to state the errors in a kinematic form. Errors will be split in two different components, geometric and kinematic errors. The first ones depend on the offsets, tilts and eccentricity of the mechanical and optical components of the system. Kinematic errors are different for every position of the Laser tracker, so they will be formulated as functions of three system variables: distance (R), vertical angle (V) and horizontal angle (H) usually called d, φ and θ. The goal of this work is to set up an evaluation procedure to determine geometric and kinematic errors of Laser Trackers.

Original languageEnglish
Title of host publicationAdvances in Manufacturing Systems, MESIC 2013
PublisherTrans Tech Publications Ltd
Pages63-69
Number of pages7
ISBN (Print)9783038351269
DOIs
StatePublished - 2014
Externally publishedYes
Event5th International Conference of Manufacturing Engineering Society, MESIC 2013 - Zaragoza, Spain
Duration: 26 Jun 201328 Jun 2013

Publication series

NameKey Engineering Materials
Volume615
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Conference

Conference5th International Conference of Manufacturing Engineering Society, MESIC 2013
Country/TerritorySpain
CityZaragoza
Period26/06/1328/06/13

Keywords

  • Kinematic calibration
  • Laser Tracker
  • Synthetic data

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