Time Domain Training Signals Comparison for Computational Fluid Dynamics Based Aerodynamic Identification

Autor:	Charles O'Neill, Andrew Arena
Rok vydání:	2005
Předmět:	Aerodynamic force Engineering Signal processing Control theory business.industry Chirp Aerospace Engineering Aerodynamics White noise Time domain business Aeroelasticity Signal
Zdroj:	Journal of Aircraft. 42:421-428
ISSN:	1533-3868 0021-8669
Popis:	Three classes of input training signals are evaluated for computational fluid dynamics based aeroelastic prediction performance. Binary signals, frequency sweeps, and multisines are reviewed and evaluated for aeroelastic prediction performance. Aerodynamic requirements are developed for input signal design and implementation. The input training signals are evaluated with signal property analysis and aeroelastic stability predictions. Five specific input signals were tested with the AGARD 445.6 aeroelastic testcase at Mach 0.90. The signals are the binary 3211 multistep, the frequency swept chirp, the frequency swept offset dc-chirp, the frequency swept Fresnel chirp and the multisine Schroeder sweep. The offset dc-chirp gave the best performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b8cc6d3ff315cdaf4468813c252b8d8e https://doi.org/10.2514/1.6424 Zobrazit plný text záznamu