基于航线对象的五边进近调配程序模型研究

针对进近管制飞行密集、潜在冲突多、调配难度大的特点,提出一种智能化的调配程序研究方法。将五边调配程序分解为基本的飞行程序,并引入航线对象的概念,结合五边进近飞行特点建立调配程序的参数模型。通过模型计算得到关键位置点及飞行控制参数信息,同时生成飞行路径,综合全部信息即得到完整的调配方案,能够为实际管制工作提供参考和服务。计算机仿真结果证明了理论方法的可行性。     

遗传算法在通信卫星轨道优化设计中的应用

大椭圆通信卫星的发展，既是对传统通信卫星的有力补充，又可以为验证大椭圆轨道通信卫星技术提供平台，具有十分重要的意义。为解决重点区域24小时实时通信覆盖问题，提出了一种改进的遗传算法以寻求卫星组网的最优轨道参数设计。分析了星座的轨道面及相位布置，设计了个体编码方式并提出了改进算法性能的保优算子。仿真结果表明：提出的算法能够寻求到最优星座方案，该方案可为目标区域提供24小时实时通信，且算法的收敛速度快、稳定性好。     

空中交通改航路径评估方法研究

针对航班改航路径的优劣提出了三种评估模型.首先,从航线的安全性、经济性、管制员及飞行员的工作负荷、同计划航线的差异和航线飞行的舒适性角度出发,选取5个评估指标.然后,应用层次分析法分别确定这5个指标在飞行-空管评估模型、航空公司评估模型和综合评估模型下的权重.最后,将各评估模型应用于现有改航飞行路径的评估,研究结果表明...     

ILS下滑道结构改善思路及措施

通过对ILS下滑道形成的理论分析，阐述了各种因素对下滑道结构的影响．提出了改善下滑道结构的思路和方法，在近几年广汉机场ILS飞行校验中得到了验证．下滑道结构有了明显的改善。     

图论中最短路径问题的解法

图论在解决运筹学、网络理论、控制论等领域的问题中显示出优越性。特别是最短路径问题被广泛的应用在工程、运输等方面，尤其在运筹学模型中最短路径问题已是不可缺少的一种方法。因此就其运算解法进行了编译，并用VC 、Madab两种程序完成其算法以寻求较快捷的解法。     

Effects of Basic Path Properties on Human Path Integration

Abstract

We investigated how path integration performance can be influenced by five basic path properties in a Virtual Reality Cube. Participants performed path-completion tasks in hallway paths with up to 12 segments. Distance information was visual, whereas turning angles were specified through vision and body senses. The ridge regression analyses suggested that path integration was affected by the number of segments, overall path length/turning angles, and the correct homing distance. Moreover, an un-correlation paradigm showed that path completion performance might be affected by participants' expectations for the correct homing distance of different paths. Implications on models of path integration were discussed.     

基于参考航迹的地面测控站站址规划算法研究

当使用地面测控站接力手段对飞航式导弹进行测控时,就存在测控站的布站问题。结合地理信息系统GIS,建立一种基于参考航迹的测控站站址规划算法,可以为布站规划提供有效的计算机辅助手段。     

火场中电梯疏散失败的FTA分析与探讨

通过对火灾导致电梯疏散失败的故障树的建立与分析,计算了导致顶事件发生的最小割集与最小径集,以及影响顶事件发生的结构重要度和割集重要度。并由此提出了火灾情况下降低电梯运行风险,提高可靠性的相关措施。为火灾情况下利用电梯进行疏散的可靠性提供了参考依据。     

Ionospheric path delay models for spaceborne GPS receivers flying in formation with large baselines

GPS relative navigation filters could benefit notably from an accurate modeling of the ionospheric delays, especially over large baselines (>100 km) where double difference delays can be higher than several carrier wavelengths. This paper analyzes the capability of ionospheric path delay models proposed for spaceborne GPS receivers in predicting both zero-difference and double difference ionospheric delays. We specifically refer to relatively simple ionospheric models, which are suitable for real-time filtering schemes. Specifically, two ionospheric delay models are evaluated, one assuming an isotropic electron density and the other considering the effect on the electron density of the Sun aspect angle. The prediction capability of these models is investigated by comparing predicted ionospheric delays with measured ones on real flight data from the Gravity Recovery and Climate Experiment mission, in which two satellites fly separated of more than 200 km. Results demonstrate that both models exhibit a correlation in the excess of 80% between predicted and measured double-difference ionospheric delays. Despite its higher simplicity, the isotropic model performs better than the model including the Sun effect, being able to predict double differenced delays with accuracy smaller than the carrier wavelength in most cases. The model is thus fit for supporting integer ambiguity fixing in real-time filters for relative navigation over large baselines. Concerning zero-difference ionospheric delays, results demonstrate that delays predicted by the isotropic model are highly correlated (around 90%) with those estimated using GPS measurements. However, the difference between predicted and measured delays has a root mean square error in the excess of 30 cm. Thus, the zero-difference ionospheric delays model is not likely to be an alternative to methods exploiting carrier-phase observables for cancelling out the ionosphere contribution in single-frequency absolute navigation filters.