Orbit determination and prediction of GEO satellite of BeiDou during repositioning maneuver

In order to establish a continuous GEO satellite orbit during repositioning maneuvers, a suitable maneuver force model has been established associated with an optimal orbit determination method and strategy. A continuous increasing acceleration is established by constructing a constant force that is equivalent to the pulse force, with the mass of the satellite decreasing throughout maneuver. This acceleration can be added to other accelerations, such as solar radiation, to obtain the continuous acceleration of the satellite. The orbit determination method and strategy are illuminated, with subsequent assessment of the orbit being determined and predicted accordingly. The orbit of the GEO satellite during repositioning maneuver can be determined and predicted by using C-Band pseudo-range observations of the BeiDou GEO satellite with COSPAR ID 2010-001A in 2011 and 2012. The results indicate that observations before maneuver do affect orbit determination and prediction, and should therefore be selected appropriately. A more precise orbit and prediction can be obtained compared to common short arc methods when observations starting 1 day prior the maneuver and 2 h after the maneuver are adopted in POD (Precise Orbit Determination). The achieved URE (User Range Error) under non-consideration of satellite clock errors is better than 2 m within the first 2 h after maneuver, and less than 3 m for further 2 h of orbit prediction.     

Predictive fault-tolerant control of an all-thruster satellite in 6-DOF motion via neural network model updating

The problem of controlling an all-thruster spacecraft in the coupled translational-rotational motion in presence of actuators fault and/or failure is investigated in this paper. The nonlinear model predictive control approach is used because of its ability to predict the future behavior of the system. The fault/failure of the thrusters changes the mapping between the commanded forces to the thrusters and actual force/torque generated by the thruster system. Thus, the basic six degree-of-freedom kinetic equations are separated from this mapping and a set of neural networks are trained off-line to learn the kinetic equations. Then, two neural networks are attached to these trained networks in order to learn the thruster commands to force/torque mappings on-line. Different off-nominal conditions are modeled so that neural networks can detect any failure and fault, including scale factor and misalignment of thrusters. A simple model of the spacecraft relative motion is used in MPC to decrease the computational burden. However, a precise model by the means of orbit propagation including different types of perturbation is utilized to evaluate the usefulness of the proposed approach in actual conditions. The numerical simulation shows that this method can successfully control the all-thruster spacecraft with ON-OFF thrusters in different combinations of thruster fault and/or failure.     

Degradation monitoring in Silvo-pastoral systems: A case study of the Mediterranean region of Turkey

To identify policies that will promote positive effects and mitigate negative ones of grazing is a major challenge in the Silvo-pastoral system. This paper presents the role of examining land-cover change trajectories by remote sensing imagery in grazing policy monitoring. The study was conducted for Duzlercami forest ecosystem located in the Mediterranean geographical region of Turkey and administrated by the General Directorate of Forestry (GDF) of the Ministry of Forestry and Water Affairs. Time series land-cover datasets from Landsat images between 1988 and 2016 were collected and classified. To link the conversions among trajectories and grazing policy, class level landscape metrics derived from the classified images were used. To validate the approach, yearly grazing-plans managed by GDF and populations of livestock were used. Results of this research have indicated that even though there is a yearly grazing plan, overgrazing can happen on the pilot site, and it can be easily identified by the destruction of woody vegetation. The notable correlation (r²?=?0.89) between degraded woody vegetation and cattle population has occurred in the last 30?years in the landscape, and Landsat imagery can effectively support the grazing policy mapping and monitoring.     

绳系卫星横向振动的控制方法

研究绳系卫星绳索横向振动问题。首先建立绳索振动方程,由Pontrgasin方法求得抑制绳索横向振动的纵向优化控制力。实现方式为开启母星体内的电机控制绳长使星体产生加速度,星体惯性力导致绳轴向附加张力。      

小卫星围绕空间站飞行动力学和控制研究

研究微小卫星围绕空间站飞行, 监视空间站运行和外观状态, 减少航天员舱外活动。这是小卫星一种新的应用概念。文章主要研究绕飞轨道动力学和稳定性, 以及在有摄动情况下保持绕飞轨道的控制策略。这种控制策略所消耗燃料非常少, 根据仿真实验结果, 绕飞卫星飞行一个月消耗的燃料可产生速度增量约为３～４ｍ ／ｓ。     

静止气象卫星资料接收与处理

分析了GMS卫星展宽数字资料接收和处理特点,叙述了开发的展宽数字资料接收系统以及三种不同规模处理系统(实时图像处理系统、微机处理系统和大型计算机处理系统)的组成和功能。     

非地球同步卫星相对于太阳的几何关系

给出确定非地球同步卫星轨道的日照边界点在天球上投影的位置、太阳光在卫星及其携带仪器各个平面上的投射角以及星载红外分光计内部冷黑体被太阳照射到的轨道部份和概率的计算公式。最后以极轨气象卫星上的红外分光计为例进行了计算。其结果可以提供给分光计某些部份的设计以及极轨气象卫星发射时间的选择作参考。     

国土卫星图象的校正方法

自国土普查卫星发射成功以来,针对国土星成象的几何特性,先后研制了一系列针对不同成象条件和地表状况的几何校正方法。文章的目的,就是对这些方法,从客观的角度,进行评述。找出存在的问题,并指出解决这些问题的方法。     

遥感信息多元综合分析及制图系统

运用多元综合分析的方法,对遥感制图的信息源、研究对象、地学分析作了重点研究。结合地学调查,从地理生物学原理与专题制图应用上进行了尝试。同时还概要地介绍了遥感专题机助制图地理参数辅助决策数据的应用。最后简明地阐述了遥感信息综合分析制图系统的构成及工艺流程。     

SPOT遥感图象的信息保持型压缩

对SPOT遥感图象的信息保持型压缩编码进行了研究。对几种不同的预测器及A_2、A_3线性码进行了比较,得出如下结论:在SPOT 遥感图象的信息保持型压缩编码中,采用文献[1]提出的三点预测器较好,线性码采用A_3码较好;两者结合,在信息保持率大于99%时,可使压缩比达2倍以上。文内还对在压缩图象的传输与恢复中碰到的问题进行了探讨。