Solid Mechanics and Vehicle Conceptual Design

Position and attitude measuring method of auxiliary fuel tank based on color-coding in wind tunnel

  • LIU Wei ,
  • SHANG Zhiliang ,
  • MA Xin ,
  • ZHANG Yang ,
  • LI Xiao ,
  • JIA Zhenyuan
Expand
  • College of Mechanical Engineering, Dalian University of Technology, Dalian 116033, China

Received date: 2014-05-20

  Revised date: 2014-08-29

  Online published: 2014-09-01

Supported by

National Natural Science Foundation of China (51375075); Science Fund for Creative Research Groups of the National Natural Science Foundation of China (51321004)

Abstract

Position and attitude parameters measured during the separation of fuel tanks from the high-speed flying aircraft are of great importantance in aircraft and auxiliary fuel tanks design. Pose parameter measuring needs to be carried out in wind tunnel environments with airflows in which highly simulated aircraft is flying, utilizing a high-speed non-contact measurement. The measurement of target position and attitude becomes even difficult due to the constraints from the observing window and shape of the target. To reduce impacts from the observing window and the complex wind tunnel environment on the quality of captured images, an image acquisition method based on self-luminous units has been proposed, through which a clearer image sequence has been obtained. Moreover, a markers matching method based on the surrounding color-coding self-luminous units is presented to achieve high-precision matching of markers in complex wind tunnel environment. Finally, pose parameters of the auxiliary fuel tank can be calculated by analyzing the 3D coordinates of markers on the surface of the model. The experimental results indicate that the proposed method satisfies the measurement requirements, the maximum displacement error does not exceed 0.102 mm and the maximum angle error is less than 0.201°.

Cite this article

LIU Wei , SHANG Zhiliang , MA Xin , ZHANG Yang , LI Xiao , JIA Zhenyuan . Position and attitude measuring method of auxiliary fuel tank based on color-coding in wind tunnel[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(5) : 1556 -1563 . DOI: 10.7527/S1000-6893.2014.0202

References

[1] Department of Engineering and Material Sciences, National Natural Science Foundation of China. Strategic planning of mechanical engineering[M]. Beijing: Science Press, 2010 (in Chinese). 国家自然科学基金委员会工程与材料科学部. 机械工程学科发展战略报告[M]. 北京: 科学出版社, 2010.
[2] Zhang G J, Zhou F Q. Position and orientation estimation method for landing of unmanned aerial vehicle with two circle based computer vision[J]. Acta Aeronautica et Astronautica Sinica, 2005, 26(3): 334-338 (in Chinese). 张广军, 周富强. 基于双圆特征的无人机着陆位置姿态视觉测量方法[J]. 航空学报, 2005, 26(3): 334-338.
[3] Ding M, Wei L, Wang B F. Vision-based estimation of relative pose in autonomous aerial refueling[J]. Chinese Journal of Aeronautics, 2011, 24(6): 807-815.
[4] Jiang H X, Xu J F, Gao Z. Vision-based movement state estimation algorithm for unmanned helicopter landing[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(4): 744-753 (in Chinese). 蒋鸿翔, 徐锦法, 高正. 无人直升机视觉着陆中的运动状态估计算法[J]. 航空学报, 2010, 31(4): 744-753.
[5] Liu W, Liu S J, Zhang Y, et al. An image acquiring method for position and pose measurement of high-speed target in wind tunnel[J]. Sensors & Transducers Journal, 2013, 12(161): 635-644.
[6] Burner A W, Fleming G A, Hoppe J C. Comparison of three optical methods for measuring mode deformation, AIAA-2000-0835[R]. Reston: AIAA, 2000.
[7] Zhou S G, Wen Y C, Jin Q G. A summary of optics model displacement measuring technique application in wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2009, 23(2): 94-99 (in Chinese). 周述光, 温渝昌, 金启刚. 风洞模型位移光学测量技术应用综述[J]. 实验流体力学, 2009, 23(2): 94-99.
[8] Jones T W, Lunsford C B. Design and development of a realtime model attitude measurement system for hypersonic facilities[C]//43rd AIAA Aerospace Sciences Meeting and Exhibit. Reston: AIAA: 5489-5498.
[9] Watzlavick R L, Crowder J P, Wright F L. Comparison of model attitude systems-active target photogrammetric, precision accelerometer, and laser interferometer, AIAA-1996-2252[R]. Reston: AIAA, 1996.
[10] Ganel T, Goodale M A. Visual control of action but not perception requires analytical processing of object shape[J]. Nature, 2003, 426(6967): 664-667.
[11] Taylor D M, Tillery S I H, Schwartz A B. Direct cortical control of 3D neuroprosthetic devices[J]. Science, 2002, 296(5574): 1829-1832.
[12] Kording K P, Wolpert D M. Bayesian integration in sensorimotor learning[J]. Nature, 2004, 427(6971): 244-247.
[13] Zhang Z Y, Yu B, Luo C, et al. Precision investigation on model displacement videogrammetric measurement in 2.4 m transonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2011, 25(4): 79-82 (in Chinese). 张征宇, 喻波, 罗川, 等. 2.4m 跨声速风洞的模型位移视频测量精度研究[J]. 实验流体力学, 2011, 25(4): 79-82.
[14] Sun Y, Zhang Z Y, Huang S J, et al. Vision measurement technology research for model angle of attack in wind tunnel tests[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(1): 1-7 (in Chinese). 孙岩, 张征宇, 黄诗捷, 等. 风洞试验中模型迎角视觉测量技术研究[J]. 航空学报, 2013, 34(1): 1-7.
[15] Chen J C. Study on stereo vision based measurement technology for position and attitude of wind tunnel model[D]. Harbin: Harbin Institute of Technology, 2008 (in Chinese). 陈杰春. 基于三维视觉的风洞模型位姿参数测量技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2008.
[16] Sandro B, Alessandro P, Armando V R. A coded structured light system based on primary color stripe projection and monochrome imaging[J]. Sensors, 2013, 13(10): 13802-13819.
[17] Zhang Z Y. Camera calibration with one-dimensional objects[J]. Pattern Analysis and Machine Intelligence, 2004, 26(7): 892-899.

Outlines

/