不同头部形状单孔位微吹气扰动控制实验研究

在亚临界流动范围内,对具有不同头部形状的尖拱形细长旋成体在无侧滑大迎角下进行单孔位微吹气扰动控制实验.通过对物面压力分布、截面侧向力分布和以前细长旋成体结果的对比和分析,发现单孔位微吹气扰动对于细长旋成体横侧向控制作用在于模型头部背风侧非对称二涡结构对扰动的敏感性.实验分析表明,单孔位微吹气扰动这一大迎角非对称控制手段具有较强的适应能力,其控制能力的大小则由该头部形状的初始状态决定.     

航天器稀疏编队飞行的概念及其设计方法

提出了航天器稀疏编队飞行的概念及其设计方法，阐明了它与通常的紧密编队飞行的区别及其在应用上的前景。采用了一个比Hill解更为广泛的新公式来设计稀疏编队，并列举了若干稀疏编队的阵形。当各航天器距离很近时，该公式自然退化为与Hill解相同的形式。通过与Hill解的设计相比较，表明了新公式用于稀疏编队设计的优越性。     

电磁干扰自动测量系统

电磁干扰自动测量系统可完成产品诊断测量、环境场测量和基于GJB-151/152标准的有关测量。测量频率范围为14kHz～18GHz,幅度测量精度在30MHz频率以下优于±2.85dB。在30MHz～6GHz范围内优于±3.86dB,在6～16GHz频率范围内优于±4.81dB,在16～18GHz范围内优于±5.06dB。     

射频辉光放电法沉积类金刚石碳膜

研究了碳氢气体通过射频辉光放电沉积类金刚石碳膜。研究了射频电压和沉积时间对膜厚和维氏显微硬度的影响。此外,还进行了微动磨损试验。本实验所用的碳氢气体为C_2H_2,基体材料为TC4钛合金(Ti-6％Al-4％V)和45钢(Fe-0.45％C)。     

一种基于FPGA的超高速32k点FFT处理器

采用FPGA(Field Programmable Gate Arrays)实现了一个超高速的32k点的流水线FFT(Fast Fourier Transform)处理器.FPGA的工作频率为125MHz,可以处理连续的1Gs/s(1 Giga-samples per second)的复数数据.该FFT处理器主要基于二维分解算法,采用MDF(Multi-path Delay Feedback)流水线结构,并结合MDC(Multi-path Delay Commutator)及SDF(Single-path Delay Feedback)结构的特点.处理器的内存资源消耗相对MDC结构有所减少,而运算速度相对SDF结构有所提高.建立了处理器的算法和设计模型,并根据模型对处理器的3个组成模块进行了优化以减小资源消耗.利用VHDL语言在Xilinx ISE工具上进行了设计,FPGA的布局布线结果验证了设计的可行性.     

科技期刊插图的计算机绘制方法

通过对计算机软件的应用研究，开发了框图、电路图和曲线图等几类插图的计算机绘制方法，使传统方法中的描图、贴字、照相等工序可以一次完成，减轻了手工劳动，提高了科技期刊插图的质量，并为实现图文混排创造了条件。     

Sensor calibration impacts on dust detection based on MODIS and VIIRS thermal emissive bands

Dust detection using remotely sensed measurements has been one of the challenging problems encountered by atmospheric scientists. MODerate Resolution Imaging Spectroradiometer (MODIS) on the Terra (T) and Aqua (A) platforms have been a versatile sensor for well over 21 and 18 years respectively, and have been extremely useful in the retrieval of aerosol information over the entire globe. The MODIS radiances from the Level 1B in general are expected to be within 5% accuracy in the reflective wavelengths and within 1% in the thermal emissive wavelengths. In this paper, we evaluate the sensitivity of previously developed dust detection technique based on thermal emissive wavelengths, which correspond to MODIS bands 20, 29, 31, and 32 respectively. The Thermal Emissive Dust Index (TEDI) performed very comparably to the traditional Aerosol Optical Thickness (AOT) retrievals by MODIS reflective channels. Since the MODIS Thermal Emissive Bands (TEB) are well calibrated on-orbit using a BlackBody (BB) source, the calibration of these long wave infrared bands is quite robust. As A-MODIS continues to perform well beyond its designed lifetime of 6 years, the instrument has undergone various levels of degradation during its mission time. As a consequence, it is imperative to check the impacts of calibration on the higher-level retrievals. In this paper, we rigorously analyze the sensitivity of TEDI due to the impact of calibration by the afore-mentioned TEB. The perturbation of the dominant (linear) calibration term demonstrated the following: first, there was a correlation in the sensitivity of the TEDI due to the uncertainty in the linear calibration term. Based on a perturbation in the linear calibration term for all aforementioned bands over a range of ±5% yielded the TEDI sensitivity to vary from approximately ?3.2% to about ?3.6%. When considering the uncertainty in each individual band significant changes were observed. The least change was observed for the perturbation in the calibration of band 20 with the TEDI sensitivity and the largest sensitivity in TEDI was observed in the perturbation of band 31 calibration. Thus, in the case of TEDI, noticeable sensitivity due to calibration uncertainty was observed in bands 29, 31, and 32, reiterating the importance of the TEB calibration in these bands. Also, the dust detection scheme based on A-MODIS was successfully transferred to the follow-on sensors such as Suomi (SNPP) and NOAA 20 (N20) VIIRS. The results presented in this paper would be extremely helpful in understanding impacts of calibration on the higher-level products for both current and future missions based on the MODIS heritage. Finally, the work also identifies the importance of radiometric fidelity in maintaining the accuracy of the dust detection. Results presented will show drastic improvement of the Saharan dust detection after the reduction of the electronic crosstalk in the 8.5 µm channel of T-MODIS.     

Multilevel Characteristic Basis Function Method with ACA for Accelerated Solution of Electrically Large Scattering Problems

The multilevel characteristic basis function method(MLCBFM)with the adaptive cross approximation(ACA)algorithm for accelerated solution of electrically large scattering problems is studied in this paper.In the conventional MLCBFM based on Foldy-Lax multiple scattering equations,the improvement is only made in the generation of characteristic basis functions(CBFs).However,it does not provide a change in impedance matrix filling and reducing matrix calculation procedure,which is time-consuming.In reality,all the impedance and reduced matrix of each level of the MLCBFM have low-rank property and can be calculated efficiently.Therefore,ACA is used for the efficient generation of two-level CBFs and the fast calculation of reduced matrix in this study.Numerical results are given to demonstrate the accuracy and efficiency of the method.     

冗余设计技术在运载火箭飞行控制系统中的应用(二)

冗余容错技术是提高运载火箭飞行控制系统可靠性的重要手段。本文针对飞行控制系统的应用特点 ,对冗余技术在工程应用中需要解决的四个方面的内容 :冗余结构 ,判别准则 ,检测方法和无共因失效设计进行了论述。     

新建自激反激变换器方程及其解析解

本文的目的是寻找自激反激变换器运行状态特征参量 (运行频率、磁通密度等 )与设计这种变换器所用的基本物理参量之间的函数关系。所用方法与传统方法不同 ,不用电磁学中定义的电气特征参量L ,而基于磁路参量及磁能密度表征变换器输入能量 ,建立了自激反激变换器运行状态特征参量应满足的方程并得到所需的解析解。这个新的结果不仅使设计这种变换器十分简便 ,而且揭示了这种变换器的许多运行特性 ,其中有些是前所未知、意外且十分重要的