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Enregistrement W2335294104 · doi:10.2514/6.2012-4718

Weight functions method for stability analysis: applications and experimental validation for Hawker 800XP Aircraft

2012· article· en· W2335294104 sur OpenAlex

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Notice bibliographique

RevueAIAA Modeling and Simulation Technologies Conference · 2012
Typearticle
Langueen
DomaineEngineering
ThématiqueAerospace and Aviation Technology
Établissements canadiensUniversité du Québec
Organismes subventionnairesnon disponible
Mots-clésStability (learning theory)Computer scienceAeronauticsAerospace engineeringEngineering

Résumé

récupéré en direct d'OpenAlex

A new method for system stability analysis, the weight functions method, is applied to the longitudinal and lateral motions of a Hawker 800XP aircraft. This paper assesses the application and presents the validation of the weight functions method to a real aircraft. The method consists of finding the weight functions that are equal to the number of differential equations required for system modelling. The aircraft’s stability is determined from the sign of the total weight function - the sign should be negative for a stable model. Aerodynamic coefficients and stability derivatives of the mid-size twin-engine corporate aircraft Hawker 800XP are obtained using the in-house FDerivatives code, recently developed at our laboratory, and validated with the flight test data supplied by CAE Inc. The following flight cases are considered: Mach numbers = 0.4 and 0.5, altitudes = 3,000 m, 5000 m, 8000 m and 10000 m, and angles of attack α = -5 0 to 20 0 . The handling qualities method is used to validate the results obtained with the weight functions method. Therefore, the aircraft stability is numerically validated using two methods: the weight functions and the handling qualities methods, and experimentally validated with flight test data. I. INTRODUCTION In this paper, the weight functions method (WFM) and the handling qualities method (HQM) are applied to study the Hawker 800XP aircraft’s stability, based on flight test data. This is the first time that the weight functions method is being used to analyse longitudinal and lateral aircraft model stability. The WFM is used here to determine the total aircraft model stability of a mid-size business aircraft with a typical wing-body-tail configuration and three basic control surfaces: the ailerons, elevator and rudder, designed to change and control the moments about the reference axis. This airplane has swept-back wings that are used to delay the drag divergence. The results are presented for the subsonic regime characterized by Mach numbers equal to 0.4 and 0.5, and four altitudes: 3,000 m, 5000 m, 8000 m and 10000 m. The pitch angles θ = [-20 to 20] 0 and pitch rates q = [-3.5 to 3.5] 0 /s are the variables for longitudinal motion, and the roll rate p = [-6 to 6] 0 /s, yaw rate r = [-2 to 2] 0 /s, sideslip angle β = [-5 to 5] 0 and roll angle Φ = [-15 to 15] 0 are the variables for lateral motion. It was also considered that we have a value δ = 5 0 for the control term. In the following sections, the WFM and HQM are described and the related results using both methods are presented. The WFM was applied only on the longitudinal motion of a canard configuration generic fighter aircraft, called the High Incidence Research Model (HIRM) by Anton [1]. The HIRM has been the subject of collaboration within the GARTEUR Action Group FM (AG08). The WFM was applied in the case of short-period longitudinal approximations for the system of equations with unstable characteristics given by the pitching-moment coefficients, and the aircraft model was stabilized using control laws. This model had increased complexity because the thrust component was included in the system equations. Yoichi et al. [2] conceived the weight functions method for use in two- and three-dimensional crack problems, and to calculate stress intensity factors for arbitrary loading conditions. This method has been generalized to calculate the response analysis of structures and to be applied to two-dimensional elasticity and plate bending problems. The weight function method was found to be useful for analyzing structures subjected to a variety of loading conditions because the responses expressed in terms of displacements and stresses may be calculated by integrating the inner product of a universal weight function and a load vector. The stress intensity factor for the patched crack within an infinite plate was successfully numerically validated [3] using the WFM. A different approach was presented by Stroe [4], who solved the Lurie-Postnikov problem using a general equation for linear or nonlinear vibrations by linear transformations. Stroe also analysed a holonomic system with dependent variable equations [5]. The weight functions method was applied for vibration and stability studies in the cases of linear and nonlinear damped holonomic systems.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,806
Score d'incertitude au seuil0,584

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,043
Tête enseignante GPT0,306
Écart entre enseignants0,263 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle