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An Improved Nonlinear Aerodynamic Derivative Model of Aircraft at High Angles of Attack
Author(s) -
Baigang Mi,
Yu Jingyi
Publication year - 2021
Publication title -
international journal of aerospace engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.361
H-Index - 22
eISSN - 1687-5974
pISSN - 1687-5966
DOI - 10.1155/2021/5815167
Subject(s) - aerodynamics , airfoil , angle of attack , pitching moment , nonlinear system , aerodynamic force , derivative (finance) , amplitude , stability derivatives , oscillation (cell signaling) , moment (physics) , mechanics , control theory (sociology) , aerospace engineering , physics , computer science , engineering , classical mechanics , artificial intelligence , optics , control (management) , quantum mechanics , financial economics , economics , biology , genetics
The classical aerodynamic derivative model is widely used in flight dynamics, but its application is extremely limited in cases with complicated nonlinear flows, especially at high angles of attack. A modified nonlinear aerodynamic derivative model for predicting unsteady aerodynamic forces and moments at a high angle of attack is developed in this study. We first extend the higher-order terms to describe the nonlinear characteristics and then introduce three more influence parameters, the initial angle of attack, the reduced frequency, and the oscillation amplitude, to correct the constant aerodynamic derivative terms that have higher-order polynomials for these values. The improved nonlinear aerodynamic derivative model was validated by using the NACA 0015 airfoil and the F-18 model. The results show that the improved model has a higher prediction ability at high angles of attack and has the ability to predict the aerodynamic characteristics of other unknown states based on known unsteady aerodynamic data, such as the initial angle of attack, reduced frequency, and oscillation amplitude.

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