Pregled bibliografske jedinice broj: 938445
Aerodynamic model development with generalized additive models
Aerodynamic model development with generalized additive models, 2018., diplomski rad, diplomski, School of Engineering, Zurich
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Naslov
Aerodynamic model development with generalized additive models
Autori
Monstein, Raphael
Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski
Fakultet
School of Engineering
Mjesto
Zurich
Datum
20.02
Godina
2018
Stranica
115
Mentor
Capone, Pierluigi ; Vrdoljak, Milan
Ključne riječi
generalized additive models, flight test data, unscented Kalman filter, aerodynamic model
Sažetak
Aerodynamic models and flight simulations have many applications, with aircraft simulations in pilot training being the most widely known. Beside the training of pilots, aerodynamic models are used to develop and tune flight control systems or to predict the performance and the handling qualities during the development of new aircraft. This aim of thesis is to evaluate if generalized additive models (GAM) are suitable for the development of aerodynamic models from flight test data. To this end, the flight test data is first processed with an unscented Kalman filter to reduce the noise in the data and the total aerodynamic coefficients are calculated. The Kalman filter parameters are estimated using a gradient based optimization to maximize the likelihood of the estimates. Subsequently, the aerodynamic coefficients are modelled with GAM. The development of aerodynamic models with GAM from flight test data has advantages over other methods: GAM are computationally cheap ; the mathematical structure is intuitive and lends itself well for aerodynamic models ; a number of methods are available to help the developer select an appropriate model structure. But, at the moment it is unclear how sensitive GAM are to noise in the measurements, which is always present in practical applications. This uncertainty should be addressed in the future to increase confidence in this method.
Izvorni jezik
Engleski
Znanstvena područja
Zrakoplovstvo, raketna i svemirska tehnika
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Milan Vrdoljak
(mentor)