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基于BADA及航空器意图的四维航迹预测

张军峰 蒋海行 武晓光 汤新民

张军峰, 蒋海行, 武晓光, 汤新民. 基于BADA及航空器意图的四维航迹预测[J]. 西南交通大学学报, 2014, 27(3): 553-558. doi: 10.3969/j.issn.0258-2724.2014.03.028
引用本文: 张军峰, 蒋海行, 武晓光, 汤新民. 基于BADA及航空器意图的四维航迹预测[J]. 西南交通大学学报, 2014, 27(3): 553-558. doi: 10.3969/j.issn.0258-2724.2014.03.028
ZHANG Junfeng, JIANG Haihang, WU Xiaoguang, TANG Xinming. 4D Trajectory Prediction Based on BADA and Aircraft Intent[J]. Journal of Southwest Jiaotong University, 2014, 27(3): 553-558. doi: 10.3969/j.issn.0258-2724.2014.03.028
Citation: ZHANG Junfeng, JIANG Haihang, WU Xiaoguang, TANG Xinming. 4D Trajectory Prediction Based on BADA and Aircraft Intent[J]. Journal of Southwest Jiaotong University, 2014, 27(3): 553-558. doi: 10.3969/j.issn.0258-2724.2014.03.028

基于BADA及航空器意图的四维航迹预测

doi: 10.3969/j.issn.0258-2724.2014.03.028
基金项目: 

国家自然科学基金资助项目(61174180)

江苏省自然科学基金资助项目(BK20130814)

中央高校基本科研业务费专项资金资助项目(NS2013064,ZXH2012L004)

4D Trajectory Prediction Based on BADA and Aircraft Intent

  • 摘要: 为了提高航空器四维轨迹预测的准确性,提出了基于航空器性能数据以及航空器意图的四维航迹预测方法.通过统计分析航空器实际雷达轨迹数据,根据水平轨迹、高度和速度剖面等构建了航空器意图模型.采用航空器意图模型与航空器动力与运动学模型相结合的方法,考虑气象因素,基于性能数据设计了四维航迹预测模型.以国内某机场进场航班ACA025与CES2161为例进行了模拟,将预计到达时刻与实际到达时刻的误差作为评价指标,结果表明:本文提出的算法可以将通过航路点时刻的误差控制在30 s以内.

     

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出版历程
  • 收稿日期:  2013-09-07
  • 刊出日期:  2014-06-25

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