基于节能的机场飞行区平面布局优化

Plane layout optimization of airport flight area based on energy conservation

随着可持续发展战略的提出,民航业提出了建设"绿色机场"的目标,以机场飞行区平面布局为研究对象,以飞机地面滑行油耗为研究目标,通过对单机坪、单跑道、单平行滑行道飞行区布局中机坪位置、平行滑行道端部及跑道端部等关键点的几何结构与飞机运行工况分析,并结合机场飞机起落架次,建立了机场飞机地面滑行总油耗数学模型。在此基础上,以4E级机场为例,飞机地面滑行油耗最低为优化目标,构建了适应度函数,并应用改进遗传算法进行了优化,最终得出最优飞行区布局形式。改进遗传算法在优化收敛解的质量和时间效率方面均有不错的表现,因此,能有效地解决机场飞行区平面布局问题。

As the sustainable development strategy is put forward, the green airport target is proposed in civil aviation. The airport flight area layout is taken as research object with the fuel consumption of aircraft taxiing as research target. Through analysis of aircraft operating conditions and the geometry of key points such as the airport apron position, the end of parallel taxiway and the end of runway in the flight area layout of single airport apron, single runway and single parallel taxiway, combining with the airport aircraft landing gear, the mathematical model of the overall fuel consumption of aircraft taxiing at the airport is established. On this basis, taking 4E international airport as an example, the minimum fuel consumption of aircraft taxiing is chosen as optimization goal, the fitness function is built, and the optimization is carried out using improved genetic algorithm. And the optimal flight area layout form is attained finally. The improved genetic algorithm has a quite good performance in the quality and time efficiency of convergence solution optimization, helping to solve the problem of airport flight area layout effectively.