双轴旋转调制光纤惯导系统运动隔离控制实现

框架旋转控制的稳定性、快速性、准确性是捷联式双轴旋转调制惯导系统发挥精度潜力的重要保障条件.针对这一需求,搭建了双轴旋转控制系统,选用了直流力矩电机结合旋转变压器的硬件结构,设计了基于DSP的高速控制线路板作为控制器,完成了信号流程的构建,并设计相应PI控制算法,实现了光纤陀螺惯导系统隔离载体运动的旋转控制功能.实验结果表明,IMU姿态隔离效率达99％以上,框架旋转控制性能良好,能够满足系统隔离载体运动的需求.     

气氮调温器Y型喷嘴实验及数值研究

基于FLUENT软件离散相模型及气体助力雾化模型,采用欧拉-拉格朗日方法研究通过Y型喷嘴雾化液氮的雾化特性.由于液氮液滴的蒸发相变,与水相比喷雾锥角更清晰且明显减小,约为10°,喷雾距离缩短.分析喷嘴气液工作压力对液氮雾化索太尔平均直径（SMD）、液滴体积分数和数量分数的影响.结果表明：SMD沿喷射方向变化幅度极小;SMD主要受气相速度及气液比影响,气压低时气相速度影响较大,气压高时气液比影响较大;由于相变作用,液氮雾化粒径分布更为集中.数值研究Y型喷嘴用于不同流量需求的气氮调温器的调温效果,出口温度低于98K,进出口温差达到12K,且整个出口温差在±1K以内,能够实现精确控温要求.     

FY-2C星在天气与环境监测服务中的应用

介绍了风云二号(FY-2)C气象卫星地面应用系统应用服务中心(ASC)的功能.分析了ASC利用C星监测资料生成如热带气旋监测、雾监测、土壤湿度、火情监测、水情监测、积雪监测和海冰监测等部分人机交互产品的原理和处理方法.实际应用结果表明,C星资料在环境与灾害性天气的监测分析、预报和预警等方面发挥了重要作用.     

SMP2标准的原始数据生成模型框架分析

原始数据生成(RDG)是导航系统设计验证的重要组成部分。由其生成的数据可进行导航系统链路预算和误差预算,也可用来对完好性处理工具(IPF)和轨道与同步处理工具(OS-PF)的算法进行调整和确认。然而原始数据生成涉及到如天文地理、物理学等多学科领域的模型,不同模型之间的接口关系十分复杂,使得将这些模型集成并实现仿真验证功能变得十分困难,也难以有效实现仿真模型的可重用性和可移植性。基于SMP2标准的仿真系统设计开发方法能有效地解决上述问题,文章介绍了原始数据生成的概念,并在面向对象分析的基础上,提出了基于SMP2规范的模型集成开发的方法和步骤。     

基于P89C51X2BA单片机实现智能程控数字相位变换器设计

数字相位变换器在电子系统中的应用比较广泛,普通的数字相位变换器均由硬件电路搭接而成,系统复杂,故障率高。本文介绍了一种基于单片机控制的智能数字相位变换器的构建,弥补了普通的数字相位变换器的不足。以P89C51X2BA和逻辑门电路为基础,阐释了实现的原理和方法,给出了系统结构和软硬件构成。     

FY-2C星云图成像技术

介绍了风云二号(FY-2)气象卫星星上成像系统的主要功能和技术指标、云图的生成与传输,以及数传与转发技术.阐述了以太阳为基准采用星上预同步、地面同步/数据缓冲器(S/DB)进行精同步的同步成像技术的卫星成像系统设计原理.分析了卫星姿态动力学对自旋轴定向稳定的影响、扫描辐射计扫描机构步进对自旋周期稳定度的影响、卫星摇摆运动造成的云图几何畸变等产生成像误差的因素,以及采取的补偿修正方案.飞行试验结果表明,C星的云图网格配准精度优于1个可见像素,章动角和摇摆角也符合设计要求.     

液氢液氧火箭发动机非线性静态特性仿真与分析

在考虑泵后推进剂温度和密度变化的情况下,建立低温液体火箭发动机非线性稳态工作的数学模型,以设计点参数为初始值采用离散牛顿法对大范围参数扰动下氢氧发动机的静态特性进行仿真,并对包括真空推力和真空比冲在内的重要参数的变化情况做相应的分析;在引入故障影响因素的情况下,针对液体火箭发动机中常见的典型故障模式进行稳态故障效应仿真和分析,为该发动机的故障检测与诊断工作奠定了基础。     

FY-2C星多通道扫描辐射计及其在轨运行

介绍了风云二号(FY-2)C静止气象卫星多通道扫描辐射计的性能、组成和工作原理,以及为适应将3通道改为5通道而完成的5通道焦平面、光学系统、结构、电子学、红外探测器、辐射致冷器、光学薄膜和第二扫描结构等主要设计改进.卫星的在轨测试和运行结果表明,C星扫描辐射计在第一代自旋静止气象卫星上实现了包括中波红外的5通道同时对地观测,图像质量总体优于同类GMS5,METEOSAT-5静止气象卫星,与目前应用的GOES9三轴稳定静止气象卫星基本相当.     

Coastal coverage of ESA’ Sentinel 2 mission

Climatologic and anthropogenic pressures in coastal areas affect the coastal zone at different scales. With the development of new missions in open-access, satellites now represent an attractive solution for a broad public to capture local-scale coastal impacts at large scales. Here, the capability of the Sentinel 2 constellation to cover coastal areas and measure coastal processes –physical and biological. We show that Sentinel 2 enables high-frequency measurements across the globe. Cloud coverage at higher latitudes is overcome by decrease revisit time-intervals. Only around the equator, the longest revisit intervals and high cloud cover probability limits coastal measurements there. Sentinel 2 based methods are capable of estimating Digital Elevation Models for mid- to high-latitude coastal zones and sporadic spots for lower latitudes where 2 orbit swaths overlap. For the majority of the world’s coastal bathymetries can be obtained with the Sentinel 2 imagery surpassing the depth of closure (beyond this offshore limit sediment transport is limited). Only in sheltered areas, wave-based bathymetry inversion is limited but at these areas inversion through colouring (light penetration) prevails. This works shows that Sentinel 2 enables coastal monitoring as never before, large spatial scale with revisits of a few days at most of the world.     

Synergistic use of multitemporal RAMP,ICESat and GPS to construct an accurate DEM of the Larsemann Hills region,Antarctica

An enhanced digital elevation model (DEM) of the Larsemann Hills region, east Antarctica, is constructed synergistically by using highly accurate ground-based GPS measurements, satellite-derived laser altimetry (GLAS/ICESat) and Radarsat Antarctic Mapping Project (RAMPv2) DEM-based point elevation dataset. Our DEM has a vertical accuracy of about 1.5 times better than RAMPv2 DEM and seven times better than GLAS/ICESAT-based DEM. The accuracy is improved by validating the RAMPv2 DEM elevation by supplementing with GLAS/ICESat and DGPS survey data, when compared to that of DEM constructed by using GLAS/ICESat or RAMPv2 alone. With the use of accurate GPS data as ground control points reference elevations, the DEM extracted is much more accurate with least mean RMSE of 34.5 m than that constructed by using a combination of GLAS/ICESat and RAMPv2 as true reference. The newly constructed DEM 7 achieves highest accuracy with the least average elevation difference of 0.27 m calculated using 46 ground reference points. Available DEMs of Antarctic region generated by using radar altimetry and the Antarctic Digital Database indicate elevation variations in the range of 50–100 m, which necessitates the generation of local DEM and its validation by using ground truth. This is our first attempt of fusing multi-temporal, multi-sensor and multi-source elevation data to generate a DEM of any part of Antarctica, in order to address the ice elevation change to infer the ice mass balance. Our approach focuses on the strengths of each elevation data source to produce an accurate DEM.