摘要
民用航空器四维航迹预测是保障飞行安全、提升运行效率、缓解航班延误、倡导绿色飞行的有效支撑和重要保证。四维航迹预测的研究集中于如下领域:预测结构与流程、预测模型与方法、误差分析与精度提升,其中航迹预测模型与方法是核心,主要包括混合估计模型、质点运动模型与机器学习方法。最后,总结与提炼开展民用航空器四维航迹预测研究的思路和热点,并相应指出了未来的研究方向。
Four dimensional trajectory prediction for civil aircrafts provided effective support and insur-ance to ensure flight safety, increase operational efficiency, reduce flight delay and advocate green flight. It could be summarized as the following three research fields ： prediction structure and process, prediction model and approach, error analysis and precision enhancement. The prediction model and approach was the core research field,which included hybrid estimation model,point mass model and machine learning method. Finally,the recent research focuses were summarized and the future research directions were put forward for the four dimensional trajectory prediction.
出处
《航空计算技术》
2017年第2期54-58,共5页
Aeronautical Computing Technique
基金
国家自然科学基金项目资助(71401072)
南京航空航天大学研究生创新基地(实验室)开放基金项目资助(kfjj20160707)
关键词
航迹预测
综述
混合估计
航空器性能
机器学习
trajectory prediction
survey
hybrid estimation
aircraft performance
machine learning
