大气数据计算机用人工神经网络计算气压高度

I. Turkmen, Yasin Korkmaz
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引用次数: 2

摘要

空气数据计算机(ADC)计算安全飞行和准确空中导航所需的关键数据。高度信息是ADC计算的重要参数之一。用表或图表显示飞机型号特殊高度信息的实际修正高度的精度。这种修正在任何高性能和喷气式飞机中都是重要的。为了纠正这些缺陷,需要在ADC内进行某些校准。本文利用标准大气条件下形成的表格数据,利用人工神经网络(ann)更容易、更准确地计算高度信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The pressure altitude computation using artificial neural network for Air Data Computer
Air Data Computer (ADC) calculates the key data necessary for performing a safe flight and accurate air navigation. Altitude information is one of the important parameter computed by the ADC. Accuracy of the altitude corrected using tables or charts showing the actual corrections in altitude information special to aircraft type. This correction is important in any high performance and jet aircraft. In order to correct these imperfections, certain calibrations need to be made within the ADC. In this paper, artificial neural networks (ANNs) are used to calculate altitude information more easily and accurately using data obtained from tables formed under standard atmosphere conditions.
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