Home > Archive>Volume 18, Issue 2, 2022 >97-102. DOI:https://doi.org/10.1007/s11801-022-1087-9
PDF HTML XML Export Cite reminder
Numerical study on aero-optical imaging deviations of vehicles at different altitudes
CSTR:
[cstr]
Author:
Affiliation:

1. Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China;2. School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510006, China;3. China Academy of Launch Vehicle Technology, Beijing 100076, China

  • Article
    • | |
  • Metrics
    • |
  • Reference [20]
    • |
  • Related [20]
    • |
  • Cited by
    • | |
  • Comments
    Abstract:

    When the vehicle is flying in the atmosphere at high speed, the optical head and the atmosphere will have severe friction, thus forming a complex flow field, which makes the target image shift in the optical imaging system. The influence of altitude on aero-optical imaging deviation is studied in this paper. The geometric modeling and mesh generation of a typical blunt nosed high-speed vehicle were carried out, and the three-dimensional (3D) flow field density was obtained by a large amount of computational fluid dynamic calculation. In order to complete the optical calculation, the backward ray tracing method and the backward ray tracing stop criterion were used. The results show that as the height increases, the imaging deviation decreases gradually, and the imaging deviation slope increases and tends to be flat and close to zero.

    Reference
    [1] LI G C. Aero-optics[M]. Beijing：National Defense Industry Press, 2006. (in Chinese)
    [2] MILLER D W. AIT interceptor performance predictions[C]//2nd Annual AIAA/SDIO Interceptor Technology Conference, June 6-9, 1993, Albuquerque, NM, America. Reston：AIAA, 1993.
    [3] GIERLOFF J J, ROBERTSON S J, BOUSKA D H. Computer analysis of aero-optics effects[C]//The AIAA/SDIO Annual Interceptor Technology Conference, May 19-21, 1992, Huntsville, AL, America. Reston：AIAA, 1992.
    [4] XU L, CAI Y L. High altitude aero-optic imaging deviation prediction for a hypersonic flying vehicle[C]//Proceedings of 2011 IEEE International Conference on Imaging Systems and Techniques, May 17-18, 2011, Batu Ferringhi, Malaysia. New York：IEEE, 2011：210-214.
    [5] XU L, CAI Y L. Influence of non-uniform flow fields on imaging deviation of side-window airborne optical systems[C]//Proceedings of 2011 IEEE International Conference on Imaging Systems and Techniques, May 17-18, 2011, Batu Ferringhi, Malaysia. New York：IEEE, 2011：12-15.
    [6] XU L, CAI Y L. Influence of altitude on aero-optic imaging deviation[J]. Applied optics, 2011, 50(18)： 2949-2957.
    [7] XU L, CAI Y L. Imaging deviation through non-uniform flow fields around high-speed flying vehicles[J]. Optik, 2012, 123(13)：1177-1182.
    [8] YAO Y, XUE W, WANG T, et al. Influence of LOS angle on aero-optics imaging deviation[J]. Optik, 2019, 202(18)：163732.
    [9] WU Y Y, XUE W, XU L, et al. Least-squares support vector machine for predicting aero-optic imaging deviation based on chaotic particle swarm optimization[J]. Optik, 2019, 206(12)：163215.
    [10] WANG T, ZHAO Y, XU D. Numerical study using an-gular spectrum propagation model for aero optical ima-ging[J]. Optik, 2013, 124(5)：411-415.
    [11] WANG T, ZHAO Y, XU D, et al. Numerical study of evaluating the optical quality of supersonic flow fields[J]. Applied optics, 2007, 46(23)：5545-5551.
    [12] WANG M, MANI A, GORDEYEV S. Physics and computation of aero-optics[J]. Annual review of fluid mechanics, 2012, 44(1)：299-321.
    [13] WANG X Q, SARHADDI D, WANG Z, et al. Modeling-based hyper-reduction of multidimensional computational fluid dynamics data：application to ship airwake data[J]. Journal of aircraft, 2019, 56(6)：1-12.
    [14] XU D, LIU H W, WU L, et al. High-order singular value decomposition applied in aero-optical effects analysis[J]. Acta optica sinica, 2010, 30(12)：3367-3372. (in Chinese)
    [15] XU L, ZHANG Z Y, CHEN X, et al. Improved sparrow search algorithm based BP neural networks for aero-optical imaging deviation prediction[J]. Journal of optoelectronics·laser, 2021, 32(06)：653-658. (in Chinese)
    [16] WANG F J. Computational fluid dynamics analysis[M]. Beijing：Tsinghua University Press, 2004. (in Chinese)
    [17] ZHU Z T. Analysis of aero-optical effect around the turbulent flow field of the high-speed aircraft[D]. Nanjing： Nanjing University of Science And Technology, 2016. (in Chinese)
    [18] XUE D T. Engineering estimation of aero-optics ima-ging deviation based on backward ray-tracing[D]. Tianjin：Tianjin University of Technology, 2018. (in Chinese)
    [19] LIU Y, YUAN Y T, GUO X, et al. Influence analysis of atmospheric refraction on location of television guiding missiles[J]. Acta aeronautica ET astronautica sinica, 2018, 39(12)：285-294. (in Chinese)
    [20] XU L, XUE D T, LV X Y. Computation and analysis of backward ray-tracing in aero-optics flow fields[J]. Optics express, 2018, 26(1)：567-576.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

XU Liang, ZHANG Ziye, WANG Tao, WU Jianhui, CHEN Xi. Numerical study on aero-optical imaging deviations of vehicles at different altitudes[J]. Optoelectronics Letters,2022,18(2):97-102

Copy
Share
Article Metrics
  • Abstract:646
  • PDF: 375
  • HTML: 0
  • Cited by: 0
History
  • Received:July 08,2021
  • Revised:September 30,2021
  • Online: February 23,2022
Article QR Code
Phone：86-22-60214471
URL：http://www.oelett.com E-mail：oel@263.net
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
® 2025 All Rights Reserved