| DOI | Trouver le DOI : https://doi.org/10.1115/IMECE2021-71173 |
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| Auteur | Rechercher : Crain, Alexander1; Rechercher : Ricciardi, Joseph1; Rechercher : Stachiw, Terrin1 |
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| Affiliation | - Conseil national de recherches du Canada. Aérospatiale
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| Format | Texte, Article |
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| Conférence | ASME 2021 International Mechanical Engineering Congress and Exposition, November 1-5, 2021, Virtual, Online |
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| Description physique | 7 p. |
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| Sujet | aircraft; flight; nonlinear equations; simulation models; system identification; computer technology; equations of motion; optimization; perturbation theory; stability |
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| Résumé | Flight models are used to accurately predict the aircraft performance and response and are used for aircraft development, engineering analysis, and pilot training. It is common practice to use linearized small perturbation equations of motion for the identification of the stability and control derivatives that form the basis of flight models using system identification. Due in large part to advances in computer technology and optimization techniques, it is feasible to use nonlinear equations of motion for time-domain system identification. This report compares two full flight envelope aircraft models that were developed with identical data: one developed using linearized equations of motion in a state space form, and the other with nonlinear equations. The global flight models were developed for the NRC Bell 412 helicopter in forward flight across its range of speeds, altitudes, and configurations. Use of the nonlinear equations of motion produced a model with less parameter variance and its corresponding global model had improved trim characteristics. |
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| Date de publication | 2021-11-01 |
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| Maison d’édition | American Society of Mechanical Engineers |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 8f73f63b-9c20-484a-a16e-1b4161a8b750 |
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| Enregistrement créé | 2022-09-21 |
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| Enregistrement modifié | 2022-09-21 |
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