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A Coupling Method for the Stability of Reflectors and Support Structure in an ALB Optical-Mechanical System

Authors :
Guoqing Zhou
Jianyin Liu
Ke Gao
Rundong Liu
Yi Tang
Angte Cai
Xiang Zhou
Jiasheng Xu
Xiaolan Xie
Source :
Remote Sensing, Vol 17, Iss 1, p 60 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

This research presents a “flexible support structure between reflective mirrors” through a coupling analysis method to restrain the surface shaping error of reflectors in the optical system of airborne LiDAR bathymetry (ALB) under various working conditions. The flexible structure proposed adjusts the mechanical relationship between the reflectors and the support structure to reduce reflector mirror deformation. The optical system is first modeled using Zemax and exported to SolidWorks to create a 3D model of the optical receiving system. Ansys is then used to conduct stiffness testing and surface analysis on the support structure of the annular thin cylinder. According to the analysis results, the first-order frequency of the support structure using a ring-shaped thin cylinder is as high as 353.64 Hz, which indicates that it has good dynamic characteristics. The PV value of the reflector mirror deformation under the thermal coupling reaches 32.59 nm, and the RMS value reaches 8.62 nm. Additionally, it is discovered that the maximum acceleration response of the reflector mirror under the applied 1 g acceleration excitation reaches 4.22 g when carrying out the dynamics analysis of the support structure. Under random vibration analysis, the maximum acceleration RMS value of the reflector mirror assembly reaches 2.18 g, and the maximum stress of the flexible device of the support structure reaches 2.65 MPa. Especially, five groups of experimental results demonstrated that the proposed coupling analysis method can receive the echo signals, the reflector mirror support structure designed in this paper, and the flexible structure is stable and reliable.

Details

Language :
English
ISSN :
20724292
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.8b4712c9ea0a432ba1f92ece7e25ec53
Document Type :
article
Full Text :
https://doi.org/10.3390/rs17010060