High Angle of Attack Aerodynamic Model Identification for Spin Recovery Simulation Using Non-Parametric Smoothing Functions

Bunge, Roberto; Kroo, Ilan

doi:10.2514/6.2018-0772

Cited by 3 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although system identification has been used since late 1960s to identify aircraft models in the normal flight regime, its application to identify spin models is relatively recent (Klein and Morelli, 2016). Several modeling approaches, including neural networks (Cho and Nagati, 1995), local model networks (Dias, 2013), locally weighted regression (Bunge and Kroo, 2018) and empirical mode decomposition (Mokhtari and Sabzehparvar, 2019) have been used to identify aircraft spin models. As the flight data is collected from the actual spinning aircraft, there are no scale errors pertaining to dynamic similitude requirements.…”

Section: Aerodynamic Models Based On Real Data From Flight Testsmentioning

confidence: 99%

A review and historical development of analytical techniques to predict aircraft spin and recovery characteristics

Malik

Masud

Akhtar

2020

AEAT

View full text Add to dashboard Cite

Purpose This paper aims to present a literature review on analytical research on the prediction of aircraft spin and recovery characteristics, as it progressed from the early years of aviation to current state of the art spin technologies. Design/methodology/approach Aerodynamic model development approaches that have been generally used in past spin studies are presented. Past contributions in application of these analytical techniques to predict spin and recovery characteristics on various fighters, general aviation and airliners are discussed, thus providing useful reference for researchers embarking aircraft spin research. An overview of the development of spin prevention and spin recovery technologies to mitigate stall/spin susceptibility is presented. Findings The challenges associated with the presented techniques that prompt possible future research directions are discussed. Originality/value Despite considerable progress in the recent years, no comprehensive review on the analytical and computational research techniques to predict aircraft post-stall/ spin characteristics has been undertaken in the recent years.