首页> 外文会议>UKACC International Conference on Control >Estimation of time to point of closest approach for collision avoidance and separation systems
【24h】

Estimation of time to point of closest approach for collision avoidance and separation systems

机译:估计避免碰撞和分离系统最接近方法的时间

获取原文

摘要

This paper proposes a method for estimating the amount of time until the point of closest approach (TPCA) between two aircraft. A range of simple methods which use derivatives to estimate the time to collision are analysed. These methods are only accurate when the angle subtended between the direction of the relative velocity vector, and the bearing of the intruder aircraft is small. An extended method is developed which calculates the exact TPCA from relative distance and bearing measurements. Representative levels of Gaussian white noise are introduced to the core equation variables for both the derivative and extended methods. It is found that as we increase the value of θ, the extended method's accuracy increases beyond that of the derivative method. A fusion algorithm is developed to switch between methods and is shown to perform well for a range of conflicts. When the relative velocity between the two aircraft is small, the signal to noise ratio on the relative velocity variable reduces causing large errors to the TPCA estimation. It is therefore concluded that at a certain relative velocity threshold, Vk (dependant on sensor and filter performance) both the derivative and extended TPCA estimation methods would become undesirable as risk estimators. It is suggested that in these situations distance could be better to use since it can be measured directly.
机译:本文提出了一种估计直到两架飞机之间的最接近点(TPCA)的时间量的方法。分析了使用导数估计碰撞时间的一系列简单方法。这些方法仅在相对速度矢量的方向与入侵飞机的方位之间的夹角较小时才是准确的。开发了一种扩展方法,该方法可以根据相对距离和轴承测量结果计算出精确的TPCA。高斯白噪声的代表性水平被引入到微分方法和扩展方法的核心方程变量中。可以发现,随着我们增加θ值,扩展方法的精度增加,超过了导数方法。开发了一种融合算法以在方法之间进行切换,并显示出在一系列冲突中表现良好。当两架飞机之间的相对速度较小时,相对速度变量上的信噪比会降低,从而导致TPCA估算产生较大误差。因此得出的结论是,在一定的相对速度阈值Vk(取决于传感器和过滤器的性能)下,TPCA估算方法和扩展方法都将不适合作为风险估算器。建议在这些情况下使用距离可能会更好,因为可以直接测量距离。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号