Optics and Precision Engineering, Volume. 23, Issue 5, 1322(2015)

Re-orientation accuracy of vehicle-born photoelectric tracking equipment

GAO Yun-guo1,*... WANG Chao1,2, JIANG Zhan-hong1,2 and QIAO Jian1 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    To meet the demands of vehicle-born photoelectric tracking equipment for performance precision, a new support approach using three mechanical legs to support a vehicle was proposed.In the approach, two legs were mounted in the front of vehicle while one leg was mounted on the back according to the layout and weight of vehicle-born equipment. Then the mechanical analysis for the vehicle frame were conducted under three conditions, which consist of that three legs were located on the float land, only the hind leg was located on the slope and three legs were located on the slope. A finite element model was established by using the commercial software MSC.PATRAN. Under the circumstance of three-point support, the deformation simulation was carried out and the simulation results for three conditions were analyzed respectively to testify the re-orientation accuracy of the vehicle frame. Finally, an experiment was designed to examine the re-orientation accuracy of the vehicle frame practically. The experimental results show that the maximum variation of pitch angle is 0.2″ while the maximum variation of azimuth angle is 0.4″, which satisfies the requirements of re-orientation accuracy of the vehicle frame and explains the reasonability of the proposed approach.

    Tools

    Get Citation

    Copy Citation Text

    GAO Yun-guo, WANG Chao, JIANG Zhan-hong, QIAO Jian. Re-orientation accuracy of vehicle-born photoelectric tracking equipment[J]. Optics and Precision Engineering, 2015, 23(5): 1322

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jul. 20, 2014

    Accepted: --

    Published Online: Jun. 11, 2015

    The Author Email: Yun-guo GAO (gaoyunhuo@163.com)

    DOI:10.3788/ope.20152305.1322

    Topics