摘要
针对航空器在机场的滑行路径优化问题,以航空器滑行运动模型为基础,通过离散化滑行速度,采用多目标免疫优化方法,研究了当航空器使用固定的路径推出时,其滑行速度与油耗之间的具体关系.仿真结果表明,通过权衡航空器滑行速度与油耗,可以为指定的滑行线路提供多种滑行方案,满足空管的实时航班调配,同时也可以促进基于油耗的滑行路径优化研究,从而降低滑行时间和油耗,提高机场的运行效率.
In order to optimize the problem of aircraft taxiing route, a research is conducted to analyze the fuel consumption. Based on an aircraft taxiing motion model, the research discretizes the taxiing speed and adopts an immune inspired multi-objective optimization method to analyze the influence of different speed on the fuel consumption when the aircraft uses a particular taxi path to push out. The simulation results show that according to the trade-off for taxiing speed and fuel consumption, the re- search can provide different taxiing schemes which meet the real-time flight schedule from air traffic controller. It also can promote the study of taxiing route optimization based on the fuel consumption, thereby reducing taxiing time and fuel consumption and improving airport operating efficiency.
出处
《武汉理工大学学报（交通科学与工程版）》
2017年第3期391-394,400,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目资助(61671237)
