Mechanics & Industry
Volume 22, 2021
|Number of page(s)||12|
|Published online||10 December 2021|
Research on the estimation method of the point-of-interest (POI) displacement for ultra-precision flexible motion system based on functional optical fiber sensor
State Key Lab of Tribology, Tsinghua University, Haidian District, Beijing 100-084, China
2 Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Haidian District, Beijing 100084, China
* e-mail: zhangm@Tsinghua.edu.cn
Accepted: 22 October 2021
This paper proposes a POI displacement estimation method based on the functional optical fiber sensor and the phase modulation principle to improve the POI displacement estimation accuracy. First, the relation between the object deformation and the optic fiber lightwave phase is explained; the measurement principle of functional optical fiber sensor based on the heterodyne interference principle and its layout optimization method is proposed, and a POI displacement estimation model is presented based on the data approach. Secondly, a beam is taken as the simulation object, the optimal position and length of the optical fiber sensor are determined based on its simulation data. Finally, the experimental device is designed to verify the effectiveness of the POI displacement estimation method based on the optic fiber sensors. The frequency-domain plot of the signals shows that the optical fiber sensors can express the flexible deformation of the analyzed object well. The POI displacement estimation model with the fiber optic sensor signals as one of the inputs is constructed. Through estimating the test data, the error using the optical fiber sensor-based POI displacement estimation method proposed in this paper reduces by more than 61% compared to the rigid body-based assumption estimation method.
Key words: Functional optical fiber sensor / point-of-interest (POI) / heterodyne interference principle / layout optimization / POI displacement estimation model
© Y. Li et al., Published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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