基于稀疏A*与人工势场算法的EOSID路径规划
Path planning for EOSID based on sparse A*algorithm and artificial potential field method
杨军利 1李阿丹 2程颖 3李立坤1
作者信息
- 1. 中国民用航空飞行学院飞行技术学院,广汉 618300
- 2. 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
- 3. 中国商用飞机有限责任公司,上海 200000
- 折叠
摘要
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.
Abstract
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.
关键词
EOSID/路径规划/稀疏A*/人工势场法Key words
EOSID/path planning/sparse A*/artificial potential field method引用本文复制引用
基金项目
国家自然科学基金民航联合基金重点项目(U2133209)
民航安全能力建设基金(2022-239)
中国民用航空飞行学院科研创新团队基金(JG2022-23)
出版年
2024
NETL
NSTL
万方数据