• DocumentCode
    1872949
  • Title

    Study on UAV flight based identification technology

  • Author

    Chuntao Cai ; Fugui Li ; Qunli Xia

  • Author_Institution
    School of Aerospace, Beijing Institute of technology, China, 100081
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    1996
  • Lastpage
    2000
  • Abstract
    In order to verify the feasibility of applying identification technology to engineering control of such air vehicles as missiles, by taking into consideration the flight authenticity, repeatability, safety and reliability, the unmanned aerial vehicle (UAV) similar to missile flight control is selected as the controlled object. Based on identification theory and control guidance theory, this paper firstly makes theoretical analysis on UAV´s identification technology, and then conducts flight practice to verify the theory. Firstly, The feasibility of UAV´s closed-loop identification and the generation of excitation signals are studied. Secondly, identification experiments platform, namely UAV system platform, is constructed, including hardware platform and such software platforms as control guidance, signal transmission and data collection. Thirdly, multiple flight identification experiments are conducted on UAV, thus obtaining identification data. Finally, the mathematical model of UAV is obtained through analyzing and processing data, and this model is verified in time domain and frequency domain. Through a series of simplification method, a mathematical model, which is available in engineering, simplified and close to reality, is achieved, and its correctness is verified at last. The results show that identification´s theory and ideology can be entirely applied to the engineering practice controlled by actual air vehicles.
  • Keywords
    identification; least-square method; unmanned aero vehicle;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1387
  • Filename
    6492994