一种月球车视觉系统的匹配算法

 对采用双目视觉来实现月球车自主导航提出了一种快速匹配的方法。首先,对相机的内外参数进行精确地标定,通过两相机的外参数对图像进行核线纠正,生成消除上下视差的核线;然后,在核线图像上,采用相关系数法进行由少到多的粗匹配,对匹配结果进行多重的检验,接着用最小二乘方法进行亚像素的精确匹配;最后,在匹配的像点间构建Delaunay三角网,建立两图像重叠区域的匹配关系,实现稠密匹配。对该方法进行了多组实验,实验结果表明:该方法可以快速、可靠地实现稠密的图像匹配。     

大型空间环模设备热沉管网系统仿真计算

文章结合某大型空间环境模拟设备,建立了复杂热沉管网的计算模型。利用Flowmaster软件,对热沉管网的流动和换热现象进行了模拟计算。根据计算结果,对该大型管网热沉的结构改进提出了意见,并进行了对比分析。改进后的热沉管网系统在流量和温度均匀性方面均有较大的改进。     

Self-Sensing Test Method for the Temperature of Piezoelectric Stacks

A self-sensing test method for the temperature of piezoelectric stack,based on the high correlation between the static capacitance and the stack temperature,is proposed in order to construct a self-sufficient methodology of temperature measurement. Firstly,a theoretical model of static capacitance of the piezoelectric stack under preload was set up,and the influence of preload on the static capacitance was analyzed. Secondly,the correctness of the model was verified by static capacitance test experiments under various preloading conditions. Finally, the temperature measurement experiments at low-temperature stage for two kinds of piezoelectric stacks,namely the lowtemperature-resistant piezoelectric stack and conventional piezoelectric stack, were conducted under various preloading conditions using a polynomial fitting method. The results,which validate the accuracy of the test method,show that the maximum temperature deviations of the two kinds of piezoelectric stack are 3.9 ℃ and 2.8 ℃,respectively,when the preload force is close to the specified value. The test method uses the piezoelectric stack itself as a temperature sensor,which does not require additional equipment for temperature sensing,so that the space and equipment cost could be economized. And the test for static capacitance is concise and convenient,which indicates that in the cooling process,a concise and efficient test of the temperature of the piezoelectric stack could be realized so as to grasp the current temperature change in time.     

烧蚀热响应计算中的不确定性传播分析方法研究

发展了基于代理模型的不确定度量化方法，以少量确定性模拟结果为样本，通过代理模型来构建目标变量和不确定性输入参数的响应关系，以此来分析目标变量的不确定性信息，包括均值、标准差、概率密度分布等统计信息以及各个输入参数对目标变量的敏感性大小。本文以烧蚀热响应计算为例，通过分析材料物性参数的不确定性对烧蚀热响应预测的影响，表明该方法具有准确度高、效率高的特点，为工程中的高维不确定度量化问题提供了很好的解决思路。     

一种新型滑模控制算法在挠性多体卫星姿态控制中的应用

针对一类挠性多体卫星的复合控制问题，提出一种新型滑模变结构控制算法。新型算法利用闭环系统Lyapunov函数的一阶导数估计值设计控制器，且控制器采用了递归学习控制结构，能够有效解决传统滑模控制技术的颤振问题。随后根据Lyapunov稳定性理论证明闭环系统轨迹可以快速收敛到滑模面，并且系统状态误差可在滑模面上渐近收敛到零。此外，设计的控制器能够有效抑制外部干扰，而且控制器只需要控制输入矩阵信息而不需受控系统和未知参数的其他先验信息，使得算法具有较强鲁棒性。最后通过数值仿真与现有文献中控制算法进行对比，结果充分验证了本文设计控制算法的有效性和实用性。     

NB-IoT模块与电信物联网开放平台的通信研究

中国电信物联网开放平台实现对各种NB-IoT设备数据的统一管理,同时向第三方应用系统开发接口,让各种应用能快速构建自己的物联网业务。本文构建物联网系统,终端利用DS18B20温度传感器采集环境温度,通过BC35-G模块以CoAP协议将温度传输至电信物联网开放平台。     

Inter-satellite calibration of FengYun 3 medium energy electron fluxes with POES electron measurements

We perform an L-shell dependent inter-satellite calibration of FengYun 3 medium energy electron measurements with POES measurements based on rough orbital conjunctions within 5?min?×?0.1?L?×?0.5 MLT. By comparing electron flux data between the U.S. Polar Orbiting Environmental Satellites (POES) and Chinese sun-synchronous satellites including FY-3B and FY-3C for a whole year of 2014, we attempt to remove less reliable data and evaluate systematic uncertainties associated with the FY-3B and FY-3C datasets, expecting to quantify the inter-satellite calibration factors for the 150–350?keV energy channel at L?=?2–7. Compared to the POES data, the FY-3B and FY-3C data generally exhibit a similar trend of electron flux variations but more or less underestimate them within a factor of 5 for the medium electron energy 150–350?keV channel. Good consistency in the flux conjunctions after the inter-calibration procedures gives us certain confidence to generalize our method to calibrate electron flux measurements from various satellite instruments.     

A scheduling strategy to inter-satellite links assignment in GNSS

By introducing inter-satellite link (ISL), the dependence of the global navigation satellite system (GNSS) on ground infrastructure can be reduced and its performance enhanced via inter-satellite ranging and communication. Owing to platform restrictions, there are usually fewer onboard Ka-band ISL antennas than the number of visible satellites, which poses a problem when optimizing the inter-satellite links assignment of the GNSS. In this study, to optimize inter-satellite ranging and communication, a multi-objective optimization model is built and a scheduling strategy is proposed for the inter-satellite links assignment scheduling problem. The position dilution of precision (PDOP) of links and the transmission time-delay of telemetry data are set as the ranging performance and communication metrics, respectively. We regard the links assignment in each slot as a general graph-matching problem, and apply the Blossom algorithm to obtain the maximum matching. We then generate and optimize the satellite sequences for whole slots using non-dominated sorting genetic algorithm II (NSGA-II). The simulation scenes include 10,080 epochs of GNSS constellation, and the simulation results show that the performance of the proposed strategy is better than that of other methods published recently, and can provide various solutions to meet the different preferences of system managers.     

Phase asynchrony between coronal index and sunspot numbers

In this paper, the phase asynchrony between coronal index and sunspot numbers is investigated. It is found that, (1) the sunspot numbers begin one month earlier than coronal index, which should mathematically lead to phase asynchrony between them but with a slight effect; (2) the 11-year Schwabe cycle is the only one period with statistical significance for coronal index and sunspot numbers, and the difference between the length of the Schwabe cycle of them should also lead to phase asynchrony between them; (3) although coronal index and sunspot numbers are coherent in low-frequency components corresponding to the 11-year Schwabe cycle, they are asynchronous in phase in high-frequency components; (4) their different definitions and physical meanings may be a major reason why there is a phase asynchrony between them.     

Fault detection and isolation in GPS receiver autonomous integrity monitoring based on chaos particle swarm optimization-particle filter algorithm

The receiver autonomous integrity monitoring (RAIM) is one of the most important parts in an avionic navigation system. Two problems need to be addressed to improve this system, namely, the degeneracy phenomenon and lack of samples for the standard particle filter (PF). However, the number of samples cannot adequately express the real distribution of the probability density function (i.e., sample impoverishment). This study presents a GPS receiver autonomous integrity monitoring (RAIM) method based on a chaos particle swarm optimization particle filter (CPSO-PF) algorithm with a log likelihood ratio. The chaos sequence generates a set of chaotic variables, which are mapped to the interval of optimization variables to improve particle quality. This chaos perturbation overcomes the potential for the search to become trapped in a local optimum in the particle swarm optimization (PSO) algorithm. Test statistics are configured based on a likelihood ratio, and satellite fault detection is then conducted by checking the consistency between the state estimate of the main PF and those of the auxiliary PFs. Based on GPS data, the experimental results demonstrate that the proposed algorithm can effectively detect and isolate satellite faults under conditions of non-Gaussian measurement noise. Moreover, the performance of the proposed novel method is better than that of RAIM based on the PF or PSO-PF algorithm.