Open Access
Volume 40, Number 2, April 2022
Page(s) 391 - 400
Published online 03 June 2022
  1. GENG Jianhua, WANG Xia, XIE Jun. An introduction to general aviation[M]. Beijing: Aviation Industry Press, 2007 (in Chinese) [Google Scholar]
  2. JANET R. Daly bednarek, dreams of flight[M]. Texas: Texas A & M University Press, 2005 [Google Scholar]
  3. JOSEPH J. Corn, the wing gospel[M]. New York: Oxford University Press, 1983 [Google Scholar]
  4. ROGER E. Bilstein, the American aerospace industry[M]. New Jersey: Twayne Publisher, 1996 [Google Scholar]
  5. QIN Rui, ZHAO Yifei, HUANG Yanxiao. Contemporary general aviation foundation and practice[M]. Beijing: Science Press, 2014 (in Chinese) [Google Scholar]
  6. BENTO S, DE Mattos. Santos dumont and the dawn of aviation[C]//AIAA Aerospace Science Meeting and Exhibit, 2004 [Google Scholar]
  7. GERKENS T, FRITSCH G. The iron bird for the Fairchild-Dornier 728[J]. Aerospace Science and Technology, 2004, 8: 231–243 [Article] [CrossRef] [Google Scholar]
  8. LI D, LIN M, TIAN L. Design of iron bird for a regional jet aircraft[J]. Proceedings of the Institution of Mechanical Engineers Part G: Journal of Aerospace Engineering, 2020, 234(3): 681–688 [Article] [CrossRef] [Google Scholar]
  9. LI Zhenshui, XI Ying. Modular design of iron bird for modern aircraft[C]//IEEE/CSAA international conference on aircraft utility system(AUS), Beijing, 2016 [Google Scholar]
  10. HWANG S J, CHOI S W. Iron bird ground test for tilt rotor unmanned aerial vehicle[J]. International Journal of Aeronautical and Space Science, 2010, 11(4): 313–318 [Article] [CrossRef] [Google Scholar]
  11. HAKAN Aydemir, UGUR Zengin, UMUT Durak, et al. Designing a virtual iron bird as a digital twin[C]//AIAA SciTech Forum, 2021 [Google Scholar]
  12. SUN Yindi, ZHOU Lüyong, WANG Feng. Design of a simple flight simulator for iron bird platform of amphibious aircraft[J]. Aeronautical Computing Technique, 2020, 50(1): 110–113 [Article] (in Chinese) [Google Scholar]
  13. ZHANG Yong, ZENG Xianzhong, SHEN Zongzhang. Loading system design for the aircraft flight control system in lab testing[J]. Hydraulics Pneumatics & Seals, 2020(10): 139–144 [Article] (in Chinese) [Google Scholar]
  14. ZHANG Jiasheng, DUAN Tingting, LIU Bo. Concentrated loading method for the large airplane iron bird's elevator[J]. Hydraulics Pneumatics & Seals, 2014(8): 80–83 [Article] (in Chinese) [Google Scholar]
  15. WANG Li, QIAO Wei, LU Tao. Design of flight control surface loading system on iron bird test bed[J]. Aeronautical Computing Technique, 2017, 28(3): 41–45 [Article] (in Chinese) [Google Scholar]
  16. MA Li, LI Li, YAN Chao. Introduction on hydraulic system test for large-scale amphibious aircraft iron bird[J]. Hydraulics Pneumatics & Seals, 2019(6): 70–72 [Article] (in Chinese) [Google Scholar]
  17. BART Elias. Securing General Aviation[EB/OL]. (2009-03-03)[2021-04-21]. [Article] [Google Scholar]
  18. ZHENG Shutao, LIAO Feng, WANG Liwen, et al. Experiment and study of control loading system in flight simulator[J]. Jouranl of System Simulation, 2008, 20(4): 965–969 (in Chinese) [Google Scholar]
  19. SUN Yukai, ZHANG Renjia, WU Zhigang. Dynamic property test and system identification of model aircraft actuators[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(2): 294–303 [Article] (in Chinese) [Google Scholar]
  20. XU Hailiang, LI Junyang, FEI Shumin. Design and implementation of digital flight simulation platform[J]. Journal of Southeast University, 2011, 41(1): 113–117 [Article] (in Chinese) [NASA ADS] [Google Scholar]
  21. ZHOU Ziquan. Flight test engineering[M]. Beijing: Aviation Industry Press, 2010 (in Chinese) [Google Scholar]
  22. CHEN Yinchun, SONG Wenbin, LIU Hong. Civil aircraft design[M]. Shanghai: Shanghai Jiaotong University Press, 2010 (in Chinese) [Google Scholar]

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