期刊文献+

飞机螺旋运动测量技术的发展

Development of Measurement Technique for Aircraft Spin Motion
下载PDF
导出
摘要 立式风洞是研究飞机尾旋与尾旋改出的特种设施。由于尾旋试验模型的大小受限于风洞的试验段尺寸和流场的边界条件,较难在模型内部安装测量系统,早期均采用外部系统对处于螺旋运动状态的飞机模型姿态进行捕捉、辨识,进而分析飞机的尾旋特性与改出特性。随着材料科学、智能加工技术和信号传输技术的发展进步,测量系统向模块化、微型化和超微型化发展,使得测量机构能够安置于飞机模型的内部,这样不仅可以实时测量数据并记录,不需要到试验后才进行判读和辨识,而且所测量的数据更加完整。 Spin tunnel is a specific facility to investigate aircraft spin and spin recovery. Since the size of aircraft spin model is limited by cross section of test section and flow field boundary condition, it is difficult to set the measurement system inside model. In earlier time, the attitude of spin model was captured and identified by the external system to analyze further aircraft spin characteristics and recovery characteristics. With the development of materials science, intelligent processing technology and signal transmission technology, measurement system is modularized, miniaturized and ultra microminiaturized, and it can be set inside the aircraft spin model. Thus, data can be taken during the tests, interpretation and identification can be carried out simultaneously, furthermore, the measured data is more complete.
作者 颜巍
出处 《民用飞机设计与研究》 2016年第4期1-5,12,共6页 Civil Aircraft Design & Research
关键词 人工判读测量系统 全视场尾旋测量系统 航向参考系统 manual interpretation measurement system full field measurement system navigation reference system
  • 相关文献

参考文献3

二级参考文献24

  • 1冯其强,李广云,黄桂平.基于自动定向棒和编码标志的像片概略定向[J].红外与激光工程,2008,37(S1):132-136. 被引量:6
  • 2[2]Fremaux C M.Spin-tunnel Investigation of a 1/28-Scale Model of the NASA F-18 High Alpha Research Vehicle (HARV) with and without Vertical Tails[R].NASA Contractor Report 201687 April 1997,National Aeronautics and Space Administration Langley Research Center,1997.
  • 3[3]Guetat G,Maitre M,Joly L,et al.Automatic 3-D Grayscale Volume Matching and Shape Analysis[J].IEEE Transactions on Information Technology in Biomedicine,2006,10(2):362-376.
  • 4[4]Matthies L.Stereo Vision for Planetary Rovers:Stochastic Modeling to Near Real-time Implementation[J].International Journal of Computer Vision,1992,8(1):71-91.
  • 5[5]Zheng C,Sun D W,Zheng L.Classification of Tenderness of Large Cooked Beef Joints Using Wavelet and Gabor Textural Features[J].Transactions of the Asabe,2006,49(5):1447-1454.
  • 6[6]Gerson A D,Parra L C,Sajda P.Cortically Coupled Computer Vision for Rapid Image Search[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering,2006,14(2):174-179.
  • 7[8]Tsai R Y.A Versatile Camera Calibration Technique for High-accuracy 3D Machine Vision Metrology Using Off-the-shelf TV Camera and Lenses[J].IEEE Journal of Robotics and Automation,1987.
  • 8[9]Luong Q T,Faugeras O D.Camera Calibration,Scene Mothion and Structure Recovery from Point Correspoindences and Fundamental Matrices[J].The International Journal of Computer Vision,1997,22(03):261-289.
  • 9[10]Marr D.Vision[M].San Francisco:Freeman Publishers,1982.
  • 10马颂德 张正友.计算机视觉-计算理论与算法基础[M].北京:科学出版社,2003..

共引文献51

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部