Development of Aerodynamic and Propulsion Models Using the Iterative Equation Error Method

IF 2.1 3区 工程技术 Q2 ENGINEERING, AEROSPACE
Murat Millidere, Ferhat Akgül, K. Leblebicioğlu, James F. Whidborne
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引用次数: 0

Abstract

For developing high-fidelity flight simulations, an accurate and complete representation of the aerodynamic characteristics of the aircraft is necessary. To obtain a realistic aerodynamic database, system identification methods can be used to describe the applied forces and moments acting on the aircraft. This study is based on simulated flight test data from a nonlinear simulation of the F-16 aircraft. It is demonstrated that the complete set of aerodynamic coefficients can be reconstructed from the flight test data. Thrust forces and moments are obtained from ground tests. A practical system identification methodology based on the iterative equation error method to determine the nonlinear aerodynamic and engine thrust models in the absence of engine manufacturer data is developed. The estimated values obtained using the method are compared with the actual parameter values. A mathematical engine model that can be used to estimate the thrust force for any flight condition is also developed. The findings demonstrate that the proposed method yields accurate results. The developed methodology is well-suited for the identification of isolated aerodynamic drag and lift coefficients and the thrust model.
利用迭代方程误差法开发空气动力和推进力模型
要开发高保真飞行模拟,就必须准确、完整地反映飞机的空气动力特性。为了获得逼真的气动数据库,可以使用系统识别方法来描述作用在飞机上的外力和力矩。本研究基于 F-16 飞机非线性模拟的模拟飞行测试数据。研究表明,可以从飞行试验数据中重建整套空气动力系数。推力和力矩是从地面测试中获得的。在没有发动机制造商数据的情况下,开发了一种基于迭代方程误差法的实用系统识别方法,用于确定非线性空气动力和发动机推力模型。使用该方法获得的估计值与实际参数值进行了比较。此外,还建立了一个可用于估算任何飞行条件下推力的发动机数学模型。研究结果表明,所提出的方法能产生精确的结果。所开发的方法非常适合识别孤立的气动阻力和升力系数以及推力模型。
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来源期刊
Aerospace
Aerospace ENGINEERING, AEROSPACE-
CiteScore
3.40
自引率
23.10%
发文量
661
审稿时长
6 weeks
期刊介绍: Aerospace is a multidisciplinary science inviting submissions on, but not limited to, the following subject areas: aerodynamics computational fluid dynamics fluid-structure interaction flight mechanics plasmas research instrumentation test facilities environment material science structural analysis thermophysics and heat transfer thermal-structure interaction aeroacoustics optics electromagnetism and radar propulsion power generation and conversion fuels and propellants combustion multidisciplinary design optimization software engineering data analysis signal and image processing artificial intelligence aerospace vehicles'' operation, control and maintenance risk and reliability human factors human-automation interaction airline operations and management air traffic management airport design meteorology space exploration multi-physics interaction.
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