Time-domain output error system identification of iced aircraft aerodynamics

被引:0
|
作者
Deiler C. [1 ]
机构
[1] German Aerospace Center (DLR), Institute of Flight Systems, Lilienthalplatz 7, Braunschweig
关键词
Aircraft system identification; Flight data analysis; Icing; Simulation model development;
D O I
10.1007/s13272-016-0231-2
中图分类号
学科分类号
摘要
A Δ -model approach to characterize changed aircraft dynamics due to icing is analytically derived and its parameters are estimated. The model extension is formulated as a separate module in the aircraft flight mechanics simulation and can be used in existing simulation models. The application of the output error method in time domain allows to satisfactorily match model outputs and measurements as well as calculated aerodynamic derivatives. Using available flight data of a light business jet with different ice accumulation cases provided by EMBRAER, model parameters of the Δ -model are determined and interpreted pertaining to the aerodynamic degradation caused by icing. The results show good promise that the combination of modeling approach and estimation technique could be applicable to extend existing simulator models providing a basis for pilot training under icing conditions. © 2017, Deutsches Zentrum für Luft- und Raumfahrt e.V.
引用
收藏
页码:231 / 244
页数:13
相关论文
共 50 条
  • [31] ERROR CORRECTIONS FOR AN AUTOMATED TIME-DOMAIN NETWORK ANALYZER
    SCOTT, WR
    SMITH, GS
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 1986, 35 (03) : 300 - 303
  • [32] Time-domain modes - Asymptotic expansion and error estimates
    de Hon, BP
    Felsen, LB
    Heyman, E
    ELECTROMAGNETICS IN A COMPLEX WORLD: CHALLENGES AND PERSPECTIVES, 2004, 96 : 235 - 247
  • [33] Blind modal identification of output-only structures in time-domain based on complexity pursuit
    Yang, Yongchao
    Nagarajaiah, Satish
    EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2013, 42 (13): : 1885 - 1905
  • [34] On closed-loop system identification using polyspectral analysis given noisy input-output time-domain data
    Tugnait, JK
    Zhou, Y
    AUTOMATICA, 2000, 36 (12) : 1795 - 1808
  • [35] Series Arc Fault Identification for Photovoltaic System Based on Time-Domain and Time-Frequency-Domain Analysis
    Chen, Silei
    Li, Xingwen
    Xiong, Jiayu
    IEEE JOURNAL OF PHOTOVOLTAICS, 2017, 7 (04): : 1105 - 1114
  • [36] A Unified Perspective on Time-Domain and Frequency-Domain Kalman Filters for Acoustic System Identification
    Kabzinski, Tobias
    Jax, Peter
    2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), 2022, : 90 - 94
  • [37] Time-domain identification of moving axle loads
    Pinkaew, T.
    Structural Dynamics - EURODYN 2005, Vols 1-3, 2005, : 1689 - 1694
  • [38] A fast Time-domain identification of bushing dynamics
    Cosco, Francesco
    Della Siega, Lorenzo
    Adduci, Rocco
    Gardonio, Paolo
    Desmet, Wim
    Mundo, Domenico
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2025, 224
  • [39] Terahertz time-domain spectroscopy for textile identification
    Naftaly, M.
    Molloy, J. F.
    Lanskii, G. V.
    Kokh, K. A.
    Andreev, Yu. M.
    APPLIED OPTICS, 2013, 52 (19) : 4433 - 4437
  • [40] A TIME-DOMAIN APPROACH TO Z-DOMAIN MODEL IDENTIFICATION
    MILLER, DF
    INTERNATIONAL JOURNAL OF CONTROL, 1986, 44 (05) : 1285 - 1295