Advances in flight test for aerodynamic model identification

被引:0
|
作者
Hui, K. [1 ]
Leach, B. [1 ]
Swail, C. [1 ]
Collins, D. [1 ]
Srinivasan, R. [1 ]
机构
[1] Institute for Aerospace Research, National Research Council Canada, Ottawa, Ont., K1A 0R6, Canada
来源
关键词
Computer simulation - Computer software - Data processing - Error correction - Global positioning system - Kalman filtering - Maneuverability;
D O I
暂无
中图分类号
学科分类号
摘要
This paper describes the development of several new flight test techniques at the Flight Research Laboratory, in order to create a complete in-flight aerodynamic model identification capability to be demonstrated on-board the NRC Falcon 20 research aircraft. One of the new techniques involves a novel experimental wireless nose mask (patent pending) for air data sensing. Another technique is an in-flight process for the simultaneous calibration of pitot-static position error correction, angle of attack and angle of sideslip, using differential GPS and Kalman filter processing of the data. And a third technique, which also employs the first two, uses an on-board version of MMLE3 parameter estimation software, installed in a high-speed dual processor Compaq PC, to estimate aircraft stability and control derivatives during flight, immediately after completing a special flight test control input manoeuvre for a given test condition.
引用
收藏
页码:197 / 205
相关论文
共 50 条
  • [1] Linear Aerodynamic Model Identification of a Flapping Wing MAV Based on Flight Test Data
    Caetano, J. V.
    de Visser, C. C.
    de Croon, G. C. H. E.
    Remes, B.
    de Wagter, C.
    Verboom, J.
    Mulder, M.
    [J]. INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES, 2013, 5 (04) : 273 - 286
  • [2] Advances in real-time aerodynamic model identification
    Hui, K
    Auriti, L
    Ricciardi, J
    [J]. JOURNAL OF AIRCRAFT, 2005, 42 (01): : 73 - 79
  • [3] Flight Dynamics Modeling and Aerodynamic Parameter Identification of Four-Degree-of-Freedom Virtual Flight Test
    Tai, Shang
    Wang, Lixin
    Wang, Yanling
    Bu, Chen
    Yue, Ting
    [J]. AIAA JOURNAL, 2023, 61 (06) : 2652 - 2665
  • [4] Accuracy of aerodynamic model parameters estimated from flight test data
    Morelli, EA
    Klein, V
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1997, 20 (01) : 74 - 80
  • [5] Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification
    de Visser, Coen C.
    Pool, Daan M.
    [J]. JOURNAL OF AIRCRAFT, 2023,
  • [6] Aircraft Lateral-Directional Aerodynamic Parameter Identification and Solution Method Using Segmented Adaptation of Identification Model and Flight Test Data
    Wang, Lixin
    Zhao, Rong
    Zhang, Yi
    [J]. AEROSPACE, 2022, 9 (08)
  • [7] Identification of a degradation of aerodynamic characteristics of a paraglider due to its flexibility from flight test
    Kulhanek, Robert
    [J]. AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2019, 91 (06): : 873 - 879
  • [8] Flight Test Maneuvers for Efficient Aerodynamic Modeling
    Morelli, Eugene A.
    [J]. JOURNAL OF AIRCRAFT, 2012, 49 (06): : 1857 - 1867
  • [9] An aerodynamic model identification method suitable for low-quality flight data
    Li, Jinsheng
    Zhuang, Ling
    Song, Jiahong
    Dong, Chao
    Guo, Ke
    [J]. PROCEEDINGS OF 2020 3RD INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS), 2020, : 381 - 388
  • [10] STATUS OF DYNAMIC FLIGHT TEST TECHNOLOGY - MODEL IDENTIFICATION FOR FLIGHT SIMULATION.
    Mulder, J.A.
    den Hollander, J.G.
    [J]. SAE Preprints, 1981, (810597 7-10):