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论文摘要

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

作者:潘卫军(中国民用航空飞行学院);罗杰(西部航空有限责任公司);王少杰(中国民用航空飞行学院);熊锋(中国国际航空股份有限公司重庆分公司)

Author:panweijun(civil aviation flight university of china);luojie(Western Airlines);wangshaojie(Civil Aviation Flight University of China);xiongfeng(China International Airlines Co., Ltd. Chongqing Branch)

收稿日期:2018-06-06          年卷(期)页码:2019,56(5):0843-0850

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:跑滑结构;目标跟踪;变结构多模型

Key words:Runway-taxiway structure; Target tracking; Variable structure multiple model

基金项目:国家自然科学基金(U1433126);民航局科技项目(20150228);民航局科技项目(MHRD20130213)

中文摘要

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.

英文摘要

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.

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