Electronics Optics & Control, Volume. 31, Issue 11, 109(2024)

Adaptive Unscented Kalman Filter Based Estimation of Aircraft Airflow Angles

WU Yunyan... HUANG Tianpeng, LIU Wu, ZHU Xueyao and MA Zhao |Show fewer author(s)
Author Affiliations
  • Xi'an Flight Automatic Control Research Institute, AVIC, Xi'an 710000, China
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    References(4)

    [1] [1] ANGELINI R, DENARO A. IXV re-entry demonstrator: mission overview, system challenges and flight reward[J]. Acta Astronautica, 2016, 124: 18-30.

    [2] [2] WANG Q, WU K Y, ZHANG T J, et al. Aerodynamic modeling and parameter estimation from QAR data of an airplane approaching a high-altitude airport[J]. Chinese Journal of Aeronautics, 2012, 25(3): 361-371.

    [3] [3] WISE K. Flight testing of the X-45A J-UCAS computational alpha-beta system[C]//AIAA Guidance, Navigation, and Control Conference and Exhibit. Keystone: AIAA, 2006: 21-24.

    [5] [5] HE Q Z, ZHANG W G, LIU X X, et al. Information fusion and reconstruction of key sensors in a flight control system in constant wind field based on two stage EKF[C]//2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC). Nanjing: IEEE, 2017: 718-724.

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    WU Yunyan, HUANG Tianpeng, LIU Wu, ZHU Xueyao, MA Zhao. Adaptive Unscented Kalman Filter Based Estimation of Aircraft Airflow Angles[J]. Electronics Optics & Control, 2024, 31(11): 109

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    Paper Information

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    Received: Dec. 11, 2023

    Accepted: Jan. 2, 2025

    Published Online: Jan. 2, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2024.11.016

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