L parameter estimates for volumetric error in models of machine tools

Hooman Tajbakhsh, Zainul Abadin, Placid M. Ferreira

Research output: Contribution to journalArticlepeer-review

Abstract

Software error compensation is becoming an increasingly important aspect of numerically controlled machine tools. Currently, the error models are identified using the least-squares criterion. This criterion does not necessarily reflect the evaluation criteria of a machine's performance. In this paper, we develop a method for identifying the error model of a machine tool using a Chebyshev norm. The model parameter identification procedure becomes a linear program, and the resulting error models minimize the maximum error of the machine across its workspace thus affording strict bounds on the errors produced by the machine.

Original languageEnglish (US)
Pages (from-to)179-187
Number of pages9
JournalPrecision Engineering
Volume20
Issue number3
DOIs
StatePublished - May 1997

Keywords

  • Chebyshev's linear program
  • Machine tool accuracy

ASJC Scopus subject areas

  • Engineering(all)

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