Improved measurement accuracy based on adaptive Kalman filter

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

Abstract

As a ultra-precise measurement apparatus, the heterodyne laser interferometer has been widely used in various industrial fields. However the nonlinearity caused by the nonorthogonality and the ellipticity of two-frequency input sources leads to imperfect displacement measurements. In this paper, the iterated adaptive fading Kalman filter algorithm is used to compensate the nonlinearity error. It can reduce the linearization error by repeated taylor series expansion around our new estimate and obtain high convergence rate. To demonstrate effectiveness of the proposed algorithm, the simulation results are presented with the improved measurement accuracy.

Original languageEnglish
Title of host publicationPower Control and Optimization - Proceedings of the 3rd Global Conference on Power Control and Optimization, PCO 2010
Pages228-233
Number of pages6
DOIs
StatePublished - 2010
Event3rd Global Conference on Power Control and Optimization, PCO 2010 - Gold Coast, QLD, Australia
Duration: 2 Feb 20104 Feb 2010

Publication series

NameAIP Conference Proceedings
Volume1239
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd Global Conference on Power Control and Optimization, PCO 2010
Country/TerritoryAustralia
CityGold Coast, QLD
Period2/02/104/02/10

Keywords

  • Heterodyne laser interferometer
  • Iterated adaptive fading Kalman filter
  • Nonlinearity

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