军用飞机智能起降调度技术研究

Research on intelligent departure and landing scheduling of military aircraft

为了削弱军用飞机实际起降时刻与计划起降时刻之间的偏差对作战带来的不利影响,探讨了智能化的军机起降调度方法。分析了军机起降过程中的时间窗口约束和尾流间隔约束,建立了军机起降调度的数学模型。设计了针对模型解的混合编码策略,并针对自然数编码部分提出了一种离散粒子群算法进行更新。通过仿真实验确定了算法的最大迭代次数,并通过与其他调度算法的对比分析,说明了模型和算法的有效性。

In order to reduce the disadvantage induced by the difference between the actual and planned departure and landing time in wartime, intelligent departure and landing scheduling method of military aircraft is discussed. Time window constraint and vortex separation constraint in the course of departure and landing are analyzed. Then the mathematical scheduling model is constructed. A mixed coding policy is designed for the solution of the mathematical model and the coding part composed of natural is updated with discrete particle swarm optimization （DPSO）. The simulation experiment is carried out to determine the maximal iteration time. The simulation result shows that the proposed model and algorithm are effective through comparing with some other scheduling algorithms.