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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Research on Method of Trajectory Prediction in Aircraft Flight Based on Aircraft Performance and Historical Track Data
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Research on Method of Trajectory Prediction in Aircraft Flight Based on Aircraft Performance and Historical Track Data

机译：基于飞机性能和历史轨道数据的飞机飞行轨迹预测方法研究

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Traditional 4D trajectory prediction based on aircraft performance models and flight procedures does not consider control handover rules. Meanwhile, method based on historical data mining cannot accurately couple with real-time conditions such as weather and also cause computational efficiency problems. This project collected a large amount of historical data to form a control experience database and mined the historical database to obtain control experience and flight intention. On the basis of the traditional aircraft performance model, this paper puts forward the aircraft maneuver mode using strategy and introduces the high-altitude wind information from the weather information into the aircraft 4D model to optimize the aircraft 4D trajectory calculation model. By comparing the flight forecast time with the real crossing time, it is found that the average error of the improved 4D forecast crossing time is less than 5% of the flight time, which is obviously better than that before optimization. It is proved that the optimized method based on historical track data is effective and reliable, and the accuracy of 4D track prediction is improved greatly.
机译：基于飞机性能模型和飞行程序的传统4D轨迹预测不考虑控制切换规则。同时，基于历史数据挖掘的方法不能准确地加上天气等实时条件，也导致计算效率问题。该项目收集了大量的历史数据来形成控制体验数据库，并挖掘历史数据库以获得控制体验和飞行意图。在传统的飞机性能模型的基础上，本文使用策略提出了飞机操纵模式，并将高空风信息从天气信息引入飞机4D模型，以优化飞机4D轨迹计算模型。通过将飞行预测时间与真实交叉时间进行比较，发现改进的4D预报​​过度时间的平均误差小于飞行时间的5％，这显然比优化前的更好。事实证明，基于历史记录数据的优化方法是有效可靠的，并且4D轨道预测的精度大大提高了。

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