基于卡尔曼预测的差动共焦轮廓跟踪测量方法

Translated title of the contribution: Differential confocal profile tracking measurement method based on Kalman prediction

Jie Luo, Zihao Liu, Yijun Liu, Weiqian Zhao, Yun Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

It is difficult to realize high efficiency of axial scanning differential confocal measurement (ASDCM). In this article, a differential confocal profile tracking measurement method based on Kalman prediction is proposed. In this method, the linear range of hundreds of nanometers of laser differential confocal axial response curve is used for high-precision linear sensing measurement of the continuous surface profile, which improves the measurement efficiency. Meanwhile, the Kalman predictor profile tracking method is introduced to predict and track the unmeasured surface using the measured profile point data, which expands the range of linear sensing profile measurement. Compared with the ASDCM, experimental results show that the measurement efficiency of this method is improved by 8 times, the high-precision tracking measurement of the standard elliptical column with the PV value of the outer profile is greater than the linear sensing measurement range, and the repeated measurement standard deviation of the roundness of the laser inertial confinement fusion capsule is 3 nm. It provides a high quality method for high precision, fast and nondestructive measurement of continuous surface profile of rotary precision components.

Translated title of the contributionDifferential confocal profile tracking measurement method based on Kalman prediction
Original languageChinese (Traditional)
Pages (from-to)25-32
Number of pages8
JournalYi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
Volume44
Issue number3
DOIs
Publication statusPublished - Mar 2023

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