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首页> 外文期刊>Journal of Aerospace Sciences and Technologies >OPTIMAL AIRCRAFT CONFLICT RESOLUTION IN FREE FLIGHT USING SIMULATED ANNEALING AND GENETIC ALGORITHMS
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OPTIMAL AIRCRAFT CONFLICT RESOLUTION IN FREE FLIGHT USING SIMULATED ANNEALING AND GENETIC ALGORITHMS

机译：模拟退火和遗传算法在飞机飞行中的最优冲突解决

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Limitations of the existing Air Traffic Control (ATC) systems lead to problems like congestion in airspace, delays and improper detection of conflicts between the aircraft, and their resolution. The current trend is to shift from this centralized system to an autonomous one in which the assurance of separation depends on the aircraft themselves. This concept is termed as Free Flight. In the present study we deal with the optimal resolution of conflicts between three aircraft in level flight on intersecting routes. A geometric approach has been employed to resolve the conflicts using only speed changes of the aircraft. Three objective functions are proposed to obtain the best conflict free trajectories, which penalize the aircraft for the number of speed changes and/or the extent of the speed changes. Using stochastic methods for optimization viz. Simulated Annealing (SA) and Genetic Algorithms (GA), optimal conflict avoidance speed changes have been obtained. The resulting speed change sequences for the aircraft generated using SA and GA exhibit comparable trends and values. The solutions obtained are optimal not only in the context of the magnitude of speed change but also in the number of deviations from the original speed values.
机译：现有空中交通管制（ATC）系统的局限性导致诸如空域拥挤，延误和对飞机之间冲突的不正确检测以及解决方法等问题。当前的趋势是从这种集中式系统转变为一种自主的系统，其中分离的保证取决于飞机本身。这个概念称为自由飞行。在本研究中，我们处理相交路线上三架飞机在水平飞行中的冲突的最佳解决方案。已经采用几何方法仅通过飞机的速度变化来解决冲突。为了获得最佳的无冲突轨迹，提出了三个目标函数，它们对速度变化的数量和/或速度变化的程度惩罚了飞机。使用随机方法进行优化即。通过模拟退火（SA）和遗传算法（GA），获得了最佳的避免冲突速度更改。使用SA和GA生成的飞机的最终速度变化序列具有可比的趋势和值。所获得的解决方案不仅在速度变化幅度方面是最佳的，而且在与原始速度值的偏差数方面也是最佳的。

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