我国航空客运市场需求与经济关联性分析

本文探讨航空客运市场需求与经济的关联性,以此反映我国航空客运需求的主要特点;主要从三个方面通过SPSS回归分析来阐述我国航空客运运输市场需求与经济之间的关联性,并利用回归模型对未来航空客运市场需求进行了预测。     

Distributed UAV swarm based on spatial grid model

Unmanned Aerial Vehicle (UAV) swarm has become the inevitable trend of development, which will enjoy broad prospects to be applied in the future. However, the change of UAV application mode will certainly bring new technical challenges in the flight management, environmental perception, collaborative control as well as other fields. This paper considers that it can be an effective solution to realize the unified management of spatial information on the UAV platform by adopting the spatial grid model represented by the GeoSOT-3D, and to reduce the workload of flight management, airborne environmental perception, and ranging in the neighborhood through the association and query of all spatial grid data.     

Gravity field models from kinematic orbits of CHAMP,GRACE and GOCE satellites

The aim of our work is to generate Earth’s gravity field models from GPS positions of low Earth orbiters. Our inversion method is based on Newton’s second law, which relates the observed acceleration of the satellite with forces acting on it. The observed acceleration is obtained as numerical second derivative of kinematic positions. Observation equations are formulated using the gradient of the spherical harmonic expansion of the geopotential. Other forces are either modelled (lunisolar perturbations, tides) or provided by onboard measurements (nongravitational perturbations). From this linear regression model the geopotential harmonic coefficients are obtained.     

Methods to determine stress profile in ALT based on theoretical life models

With the recent products being more reliable,engineers cannot obtain enough failure or degradation information through the design period and even the product lifetime,therefore,accelerated life test(ALT)has become the most popular way to quantify the life characteristics of products.Test design is the most essential topic,such as testing duration,stress profile,data inference,etc.In this paper,a method and procedure based on theoretical life models is proposed to determine the accelerated stress profile.Firstly,the method for theoretical life calculation is put forward based on the main failure mechanism analysis and the theoretical life models.Secondly,the method is provided to determine the accelerated stress profile,including the method to determine the accelerated stress types and the stress range on the basis of the main failure mechanism analysis,the method to determine the acceleration factor and the accelerated stress level based on life quantitative calculation models,and the collaborative analysis method of the accelerated test time while taking the multiple failure mechanisms into consideration.Lastly,the actuator is taken as an example to describe the procedure of the method and the engineering applicability and the validity are verified.     

套索驱动柔性细长机器人视觉运动系统建模与分析

运动和感官进程之间紧密的相互作用,是生物视觉系统进行目标距离估计和观察周围环境的重要特征.为了建立适合套索驱动柔性细长机器人视觉系统模型,分析了通过生物眼球运动策略,以获得准确距离估计和环境信息的机理.此外,探讨了在摄像机系统中通过模拟生物眼球运动策略进行距离估计和周围环境观察的可能性,以及通过纯机械方式,模拟基于Listing法则眼球扫视运动的可能性.最后,提出Listing平面应是套索驱动机器人视觉测量和空间姿态控制结合点的观点.     

双马来酰亚胺树脂化学流变特性研究

在粘度实验的基础上 ,根据双阿累尼乌斯方程对用于 RTM工艺的双马来酰亚胺树脂体系的化学流变特性进行了研究 ,建立了树脂体系的流变模型。通过 DSC热分析实验研究树脂体系的固化反应规律 ,验证了双阿累尼乌斯模型。研究表明 ,模型与实验结果具有良好的一致性。模型可揭示树脂体系在不同工艺条件下的粘度变化规律 ,定量预报 RTM工艺树脂的低粘度平台工艺窗口 ,为合理制定 RTM工艺参数、保证产品质量和实现工艺参数的全局优化提供必要的科学依据     

CAD／CAE／CAM集成系统的数据结构研究与实现

数据结构设计是ＣＡＤ／ＣＡＥ／ＣＡＭ集成系统的关键技术，数据结构的好坏直接影响集成系统的性能。本文以几何模型、绘图模型及分析模型的数据结构为例，论述了集成系统中各模块的数据结构的基本内容及其相互关系，提出了一种多模型下分模型管理的统一数据结构的设计思想，其最大特点是用统一的数据库进行管理，各模型间数据的相互利用是直接引用，从而保证数据的完整性和一致性，减少数据冗度。并以局部数据结构为例，说明了数据     

集模式分散滤波及其应用

把集模式的思想用到了分散滤波中，并针对有关文献中加权因子的选取存在的必须凭经验进行的问题、对集模式分散滤波的加权因子的确定提供了一种方法，即利用状态量的误差协方差的特征值平方来确定加权因子。利用本文介绍的集模式分散滤波方法对INS/GPS/TAN组合导航系统进行了仿真。仿真结果表明，本文介绍的滤波方法具有较高的精度，因而不失为一种可行的滤波方法。     

基于F代表点的高斯过程矩匹配滤波

提出了一种基于F偏差代表点的高斯过程矩匹配滤波方法。该方法通过高斯过程学习系统的过程函数和观测函数,在高斯矩匹配滤波的框架下利用F偏差代表点进行数值计算。在单变量非线性模型及静基座初始对准中进行的仿真实验表明,该方法的精度不低于解析计算的高斯过程假设密度滤波（GP-ADF）,远高于高斯过程无迹卡尔曼滤波（GP-UKF）。     

A Celestial Analytic Positioning Method by Stellar Horizon Atmospheric Refraction

This article, in allusion to the limitation of conventional stellar horizon atmospheric refraction based on orbital dynamics model and nonlinear Kalman filter in practical applications, proposes a new celestial analytic positioning method by stellar horizon atmospheric refraction for high-altitude flight vehicles, such as spacecraft, airplanes and ballistic missiles. First, by setting up the geometric connexion among the flight vehicle, the Earth and the altitude of starlight refraction, an expression for the relationship of starlight refraction angle and atmospheric density is deduced. Second, there are produced a novel measurement model of starlight refraction in a continuous range of altitudes (CRA) from 20 km to 50 km on the basis of the standard atmospheric data in stratosphere, and an empirical formula of stellar horizon atmospheric refraction in the same altitudes against the tangent altitude. Third, there is introduced a celestial analytic positioning algorithm, which uses the least square differential correction instead of nonlinear Kalman filter. The information about positions of a flight vehicle can be obtained directly by solving a set of nonlinear measurement equations. The stellar positioning algorithm adopts the characteristics of stellar horizon atmospheric refraction thereby removing needs for orbit dynamics models and priori knowledge of flight vehicles. The simulation results evidence the validity of the proposed stellar positioning algorithm.