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基于稀疏A*与人工势场算法的EOSID路径规划

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为提升起飞一发失效应急程序(EOSID)的制作效率,根据飞机性能限制和民航相关规章要求,提出了基于数字高程模型(DEM)的稀疏A*和人工势场算法的ESOID全局路径规划方法,并进行了实例验证.结果表明,应用该方法可提升规划算法的局部避障能力及鲁棒性,生成的起飞一发失效三维路径与传统人工方法相近,为EOSID路径的自动规划提供了一种可行方法.
Path planning for EOSID based on sparse A*algorithm and artificial potential field method
In order to improve the production efficiency of engine out standard instrument department(EOSID)procedure,ac-cording to aircraft performance limitations and requirements related to civil aviation regulations,an EOSID global path planning method based on sparse A*and artificial potential field algorithm of digital elevation model(DEM)is proposed and a case validation is conducted.The result shows that the application of this method can improve the local obstacle avoidance ability and robustness of planning algorithm.The generated takeoff one engine failure three-dimensional path is similar to that of traditional manual meth-ods and provide a feasible method for automatic planning of EOSID paths.

EOSIDpath planningsparse A*artificial potential field method

杨军利、李阿丹、程颖、李立坤

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中国民用航空飞行学院飞行技术学院,广汉 618300

中国东方航空武汉有限责任公司,武汉 430000

中国商用飞机有限责任公司,上海 200000

EOSID 路径规划 稀疏A* 人工势场法

国家自然科学基金民航联合基金重点项目民航安全能力建设基金中国民用航空飞行学院科研创新团队基金

U21332092022-239JG2022-23

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(5)
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