[1]吴君,张京娟.采用遗传算法的多机自由飞行冲突解脱策略[J].智能系统学报,2013,8(1):16-20.[doi:10.3969/j.issn.16730-4785.201210032]
WU Jun,ZHANG Jingjuan.Conflict resolution of multiple airplanes in free flight based on the genetic algorithm[J].CAAI Transactions on Intelligent Systems,2013,8(1):16-20.[doi:10.3969/j.issn.16730-4785.201210032]
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WU Jun,ZHANG Jingjuan.Conflict resolution of multiple airplanes in free flight based on the genetic algorithm[J].CAAI Transactions on Intelligent Systems,2013,8(1):16-20.[doi:10.3969/j.issn.16730-4785.201210032]
采用遗传算法的多机自由飞行冲突解脱策略
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
8
期数:
2013年第1期
页码:
16-20
栏目:
学术论文—智能系统
出版日期:
2013-03-25
- Title:
- Conflict resolution of multiple airplanes in free flight based on the genetic algorithm
- 文章编号:
- 1673-4785(2013)01-0016-05
- 分类号:
- TP301.6
- 文献标志码:
- A
- 摘要:
- 为了解决自由飞行时飞机间的冲突解脱问题，提出了一种能够快速准确解算最优航路的算法.遗传算法具有简单通用、鲁棒性强等特点，应用遗传算法通过改变飞行航向和飞行速度2种方式解决了两机及多机间自由飞行冲突解脱问题，同时还探讨了多机相对飞行时冲突解脱的有效飞行机制.仿真结果表明，无论是改变飞行航向还是改变飞行速度，算法均能够较快地得出最优冲突解脱路线，同时当多机在一点处存在冲突时，采用改变航向的解脱方式具有更好的适用性.
- Abstract:
- In order to resolve the conflict among airplanes in free flight, the study proposed to examine a genetic algorithm to quickly solve the best route. The genetic algorithm was considered to be a simplification, generalization and strong robustness. By applying the genetic algorithm, the conflict relief among multiplanes can be resolved respectively by altering the heading, speed, and the effective flight mechanism when multiple airplanes are flying relatively at the same time. The simulation results show that the algorithm can achieve the optimal conflict relief route quickly by utilizing both methods, and if there is a conflict at a point among multiplanes, using the method of changing the heading is more applicable.
- 参考文献/References:
-
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备注/Memo
收稿日期：2012.10.22.
网络出版日期：2013.01.25 .
基金项目：国家自然科学基金资助项目(61079017).
通信作者：吴君.
E-mail: dugujian5@sina.com.
作者简介：
吴君，男，1987年生，硕士研究生，主要研究方向为高精度惯性导航技术和组合导航，发表学术论文3篇.
张京娟，女，1975年生，讲师，博士后，主要研究方向为高精度惯性导航技术、组合导航和空基体系感知技术等，发表学术论文10余篇.
更新日期/Last Update:
2013-04-12