Analysis of an ultra-precision positioning system and parametrization of its structural model for error compensation

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Autoren

  • B. Denkena
  • D. Dahlmann
  • N. Sassi
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Details

OriginalspracheEnglisch
Seiten (von - bis)335-339
Seitenumfang5
FachzeitschriftProcedia CIRP
Jahrgang62
PublikationsstatusVeröffentlicht - 18 Mai 2017
Veranstaltung10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME 2016 - Ischia, Italien
Dauer: 20 Juli 201622 Juli 2016

Abstract

Conventional compensation of position errors of machine tools relies only on measured values. Due to this principle it is not always possible to compensate the errors in time, especially dynamic ones. Moreover, the relevant control variables cannot always be measured directly. Thus, this approach proves to be insufficient for high precision applications. In this context, a model-based error prediction allows for minimal position errors. However, ultra-precision applications set high demands for the models' accuracy. This paper presents the design of an accurate and real time-capable structural model of an ultra-precision positioning system. The modeling method for the developed ultra-precision demonstrator is shown and the initial parameter identification is presented.

ASJC Scopus Sachgebiete

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Analysis of an ultra-precision positioning system and parametrization of its structural model for error compensation. / Denkena, B.; Dahlmann, D.; Sassi, N.
in: Procedia CIRP, Jahrgang 62, 18.05.2017, S. 335-339.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Denkena B, Dahlmann D, Sassi N. Analysis of an ultra-precision positioning system and parametrization of its structural model for error compensation. Procedia CIRP. 2017 Mai 18;62:335-339. doi: 10.1016/j.procir.2016.06.054
Denkena, B. ; Dahlmann, D. ; Sassi, N. / Analysis of an ultra-precision positioning system and parametrization of its structural model for error compensation. in: Procedia CIRP. 2017 ; Jahrgang 62. S. 335-339.
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