The Use of Artificial Neural Networks to Determine the Aerodynamic Forces and Moments Acting on an Aircraft in a Vortex Wake

IF 0.8 Q2 MATHEMATICS
Yu. N. Sviridenko
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引用次数: 0

Abstract

The article proposes a method based on the use of artificial neural networks to determine what additional forces and moments act on an aircraft in a vortex wake of another aircraft in real time. The method is based on neural-network approximating additional forces and moments acting on the aircraft. These are caused by the influence of individual vortex segments. To generate a set of data for training neural networks, the method of hydrodynamic singularities has been used. Estimates of the accuracy and speed of the proposed method have been carried out.

Abstract Image

利用人工神经网络确定飞机在涡流中的空气动力和力矩
摘要 本文提出了一种基于人工神经网络的方法,用于实时确定在另一架飞机的涡流尾流中作用在飞机上的附加力和力矩。该方法基于神经网络近似作用在飞机上的附加力和力矩。这些都是由单个涡流段的影响造成的。为了生成一组用于训练神经网络的数据,使用了流体力学奇点法。对拟议方法的准确性和速度进行了评估。
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来源期刊
CiteScore
1.50
自引率
42.90%
发文量
127
期刊介绍: Lobachevskii Journal of Mathematics is an international peer reviewed journal published in collaboration with the Russian Academy of Sciences and Kazan Federal University. The journal covers mathematical topics associated with the name of famous Russian mathematician Nikolai Lobachevsky (Lobachevskii). The journal publishes research articles on geometry and topology, algebra, complex analysis, functional analysis, differential equations and mathematical physics, probability theory and stochastic processes, computational mathematics, mathematical modeling, numerical methods and program complexes, computer science, optimal control, and theory of algorithms as well as applied mathematics. The journal welcomes manuscripts from all countries in the English language.
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