面向控制到达时间的巡航飞行剖面实时优化

Real-time optimization of cruise flight profile for TOA controlling

到达时间的精确控制为管制自动化系统管制飞行剖面提供智能决策支持。通过把航程距离均分成多段,建立航空器在每一分段航程的燃油消耗模型,并结合实时飞行状态数据和预计到达时间(ETA),运用遗传算法动态优化各均分段所对应的空速加速度,进而达到精确控制航空器到达时间、实现飞行剖面优化的目的。实验结果表明,该算法收敛速度较快,能把到达时间误差控制在±4 s范围内,为新一代的管制自动化系统提供支持。

Precise control of TOA（time of arrival） can provide smart decision support of controlling flight profile for automatic control system. Flight distance is divided into multiple sections, and the fuel consumption model of aircraft in each section is established. Combining with real-time flight status data and ETA （estimated time of arrival）, genetic algorithm is used to continuously adjust velocity acceleration of each evenly divided segment, so as to achieve precise control of TOA and realize flight profile optimization. Results prove that the current algorithm converges faster, and TOA error can be controlled within ± 4s, providing help for a new generation of control automation systems.