[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 飞机位置预测模型的净空区障碍物评定方法-An Evaluation Method of Clearance Obstacles Based on the Prediction Model of Aircraft Position
文章摘要
吴鹏,种小雷,耿昊.飞机位置预测模型的净空区障碍物评定方法[J].空军工程大学学报:自然科学版,2018,19(4):20-24
飞机位置预测模型的净空区障碍物评定方法
An Evaluation Method of Clearance Obstacles Based on the Prediction Model of Aircraft Position
  
DOI:10.3969/j.issn.1009-3516.2018.04.004
中文关键词: 机场净空  BP神经网络  碰撞风险模型
英文关键词: airport clearance  BP neural network  collision risk model
基金项目:
作者单位
吴鹏,种小雷,耿昊 空军工程大学航空工程学院,西安,710038 
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中文摘要:
      运用经纬度转换法对收集的飞参数据进行判读处理,为达到国际民航组织提出的飞行时纵向碰撞概率应小于5×10-9的要求,训练BP神经网络用以预测飞机空间位置,在观察纵向偏移分布规律的基础上假定其符合极值Ⅰ型分布,选用K-S检验法进行验证,结合验证的结论建立碰撞风险模型并对机场净空区的障碍物高度对飞行的影响进行风险评定,该文为新建机场选址中的净空条件评定及现有机场净空区的障碍物管理工作提供了一种新的思路和方法。
英文摘要:
      On the basis of aircraft coordinates calculated by latitude and longitude conversion, this paper utilizes the BP neural network for predicting the spatial position of aircraft in accordance with the acceptable level of safety 5×10-9 put forward by the International Civil Aviation Organization. On the basis of observing the longitudinal deviation distribution law, it is assumed that it conforms to the Gumbel distribution and the K-S test method is used for verification. The verification result is then adopted to build a collision risk model for risk assessment of obstacles height in airport clearance. The paper provides a new way to evaluate clearance condition for selecting airport location and administrate obstacles in airport clearance.
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