A Similarity Comparison Method of Flight Test Points

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 549)


Civil aircraft flight test has the characteristics of high risk, tight time, and huge cost. How to optimize the flight test task and make it more efficient has become a major concern for major civil aircraft design and manufacturing companies in the world. However, it is difficult to get specific information about related technologies from public references. A similarity comparison method for flight test points was proposed in this paper. The probability of coincidence between different flight test points can be calculated by this method, and the results were used to evaluate the similarity of flight test points, thereby providing a criterion for flight test task optimization. The proposed method was applied to solve a preliminary optimization problem of a flight test task for flight simulator data collection, satisfactory results were obtained. A useful exploration of the digitization and intelligent construction of civil flight test task management system was made also.


Flight test Optimization Flight test point Probability algorithm Weighted calculation 



This paper is sponsored by National Program on Key Basic Research Project (2014CB744903), National Natural Science Foundation of China (61673270), Shanghai Pujiang Program (16PJD028), Shanghai Industrial Strengthening Project (CYQJ-2017-5-08), Shanghai Science and Technology Committee Research Project (17DZ1204304) and Shanghai Engineering Research Center of Civil Aircraft Flight Testing.


  1. 1.
    Stoliker, F. N. (2005). Introduction to flight test engineering (Introduction aux techniques des essais en vol). NATO RESEARCH AND TECHNOLOGY ORGANIZATION NEUILLY-SUR-SEINE (FRANCE).Google Scholar
  2. 2.
    Feng, S. D. (2014). Research and Implementation of Digitalized Management System for Civil Aircraft Flight Test Task. Shanghai: Jiao Tong University.Google Scholar
  3. 3.
    Shen, H. L., Yu, Y. J., & Liu, C. (2000). Study on Optimal Ordering Problem of Flight Test Maneuvers. Journal of Nanjing University of Aeronautics & Astronautics, 32(3), 312–317.Google Scholar
  4. 4.
    Lampe, T., Bergwall, L., Marle, et al. (1992). Test-plan to kung: an automated flight test planning environment applied to the JAS-39 gripen flight test program. Saab-Scania AB, Sweden, 4, 11–21.Google Scholar
  5. 5.
    Yan, Z. K., Guo, B. Z., & Ding, Z. T. (2014). Investigation and Realization of Flight Test Task Optimization for Civil Aircraft. Civil Aircraft Design and Research, 2014(3), 12–16.Google Scholar
  6. 6.
    Yuan, C., Xiu, Z. X., Tian, H. L., et al. (2014). Research on Flight Test Planning and Management for Civil Aircraft. Civil Aircraft Design and Research, 2014(3), 1–4.Google Scholar
  7. 7.
    Huang, M. S., & Zheng, Q. (2000). The design and implementation of flight test management system. Flight Dynamics, 18(4), 14–16.Google Scholar
  8. 8.
    Department of Mathematics, Huazhong University of Science and Technology. (2008). Probability Theory and Mathematical Statistics. Peking, China: Higher Education Press.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Aeronautics and Astronautics, Shanghai Jiao Tong UniversityShanghaiChina

Personalised recommendations