Aircraft Climb Trajectory Prediction Using Neural Network
Aircraft Climb Trajectory Prediction Using Neural Network
复制标题
使用神经网络预测飞机爬升轨迹
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
M. Chen
中科院分区：
文献类型：
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作者：
M. Chen
飞机爬升问题是一个典型的硬约束优化问题。在真实的应用中，最重要的不是找到最佳解，而是在可接受的时间内提供可行的爬升时间表。调度飞机爬升是大多数控制塔遇到的复杂任务。本文研究了多跑道情况下的飞机爬升问题。提出了一种基于神经网络的飞机爬升控制方法，在满足实时性要求的前提下，有效地解决了飞机爬升问题。
Aircraft climbing problem is a typical hard multi-constraint optimization problem. In real applications, it is not most important to find the best solution but to provide a feasible climbing schedule in an acceptable time. Scheduling aircraft climbing is a complex task encountered by most of the control towers. In this paper, we study the aircraft climbing problem in the multiple runway case. This paper proposes a method based on neural network which can effectively solve the aircraft climbing problem while satisfying the real-time need.