基于PSO算法的飞机垂直剖面优化仿真研究

Optimization Simulation Study on Vertical Flight Profile of Aircraft Based on PSO Algorithm

飞机垂直导航功能能够完成寻找最优垂直飞行剖面的任务,是飞行管理系统重要的组成部分。以波音737-800为例,建立能量状态法下飞机运动模型,通过最优控制理论得到飞行成本的控制模型,基于粒子群优化算法(PSO),将飞机垂直飞行剖面分为爬升、巡航、下降3个阶段,分阶段通过Matlab进行优化仿真,得到了飞机垂直飞行剖面中的最优飞行轨迹。优化效果明显,有助于航空公司提高飞机飞行效率,降低飞机运行成本。

The vertical navigation function of the aircraft can complete the task of finding the optimal vertical flight profile,which is an important part of the flight management system. In this paper,Boeing 737-800 is used as an example,the airplane motion model under the energy state method is established. The flight control model is obtained by the optimal control theory. Based on the Particle Swarm Optimization（ PSO） algorithm,the vertical flight profile of the aircraft is divided into climb,cruise and descent phase.By using Matlab,finally,the optimal flight path in the vertical flight profile of the aircraft is obtained. Optimization effect is obvious which helps airlines to improve aircraft flight efficiency and reduce aircraft operating costs.