基于跑滑系统约束的航空器滑行跟踪算法

Taxiing Tracking Algorithm of Aircraft on the Ground Based on the Runway-taxiway System Constraints

摘要:

为解决大型机场场面易冲突的问题，研究了将基于跑滑系统和管制约束的变结构多模型算法应用于机场场面目标的跟踪.本文首先建立了复杂跑滑结构下的数学建模方法、跑滑结构约束下跟踪状态修正方法和基于管制指令约束的航空器与跑滑系统的自适应匹配方法.与传统场面目标跟踪不同，本文利用跑滑系统和管制指令约束的最大后验概率估计来激活和终止模型集，进而解决机场场面航空器跟踪过程中模型集切换和路段匹配问题.基于上述方法，本文通过结合最大后验概率估计提出了一种新的交互式多模型算法，改善了场面目标的跟踪性能.仿真结果表明：与交互式多模型算法和变结构交互式多模型算法相比，本文所提出的方法能有效地跟踪机场场面目标，显著提高了跟踪精度.

Abstract:

In order to solve the airport surface confliction problem in large airports, a variable structure interacting multiple model algorithm based on runwaytaxiway system constraint and ATC order constraint is applied to the tracking of field targets. We first establish the methods for mathematical modeling of complex taxi structures, tracking status fixing under the taxi structure constraint, and adaptive matching of aircraft and taxiing system based on ATC order constraint. In dealing with the runwaymatching and modelswitching, the maximum a posteriori (MAP) estimations of runwaytaxiway system constraint and ATC order constraint are utilized to activate and terminate the model set. A new method, which combines the variable structure interacting multiple model with the MAP, has been proposed for improving the tracking performance. Simulation results demonstrate that the proposed method is more effective than the interacting multiple model and the variable structure interacting multiple model, leading to superior tracking accuracy.