Ground and on-orbit command and data handling architectures for the Active Rack Isolation System microgravity flight experiment

The Active Rack Isolation System [ARIS] International Space Station [ISS] Characterization Experiment, or ARIS-ICE for short, is a long duration microgravity characterization experiment aboard the ISS. The objective of the experiment is to fully characterize active microgravity performance of the first ARIS rack deployed on the ISS. Efficient ground and on-orbit command and data handling [C&DH] segments are the crux in achieving the challenging objectives of the mission. The objective of the paper is to provide an overview of the C&DH architectures developed for ARIS-ICE, with the view that these architectures may serve as a model for future ISS microgravity payloads. Both ground and on-orbit segments, and their interaction with corresponding ISS C&DH systems are presented. The heart of the on-orbit segment is the ARIS-ICE Payload On-orbit Processor, ARIS-ICE POP for short. The POP manages communication with the ISS C&DH system and other ISS subsystems and payloads, enables automation of test/data collection sequences, and provides a wide range of utilities such as efficient file downlinks/uplinks, data post-processing, data compression and data storage. The hardware and software architecture of the POP is presented and it is shown that the built-in functionality helps to dramatically streamline the efficiency of on-orbit operations. The ground segment has at its heart special ARIS-ICE Ground Support Equipment [GSE] software developed for the experiment. The software enables efficient command and file uplinks, and reconstruction and display of science telemetry packets. The GSE software architecture is discussed along with its interactions with ISS ground C&DH elements. A test sequence example is used to demonstrate the interplay between the ground and on-orbit segments.     

自动驾驶仪可靠性设计的故障树分析

以地空导弹自动驾驶仪系统可靠性的故障树分析（ＦＴＡ）为例，建立了故障树、结构函数，并进行了系统可靠度计算。实践表明，本方法具有通用性，也可用于其他弹上设备的故障树分析。     

复合材料壳体与喷管的卡环连接结构研究

较详细地对复合材料壳体与喷管卡环连接结构进行了有限元应力,应变分析,对卡环,接头及倒锥等多体接触问题进行研究;对“Ｉ”型及“Ｌ”型卡环结构分别进行了计算和比较,并给出计算结果及结果分析。     

印刷电路板缺陷焊点的自动检测

本文首先从国内外的发展现状,概述了印刷电路板缺陷焊点的几种检测手段。并着重介绍了作者与其同事们正在研制的激光全息印刷电路板焊点缺陷自动检测系统。     

Remote sensing of planetary properties and biosignatures on extrasolar terrestrial planets

The major goals of NASA's Terrestrial Planet Finder (TPF) and the European Space Agency's Darwin missions are to detect terrestrial-sized extrasolar planets directly and to seek spectroscopic evidence of habitable conditions and life. Here we recommend wavelength ranges and spectral features for these missions. We assess known spectroscopic molecular band features of Earth, Venus, and Mars in the context of putative extrasolar analogs. The preferred wavelength ranges are 7-25 microns in the mid-IR and 0.5 to approximately 1.1 microns in the visible to near-IR. Detection of O2 or its photolytic product O3 merits highest priority. Liquid H2O is not a bioindicator, but it is considered essential to life. Substantial CO2 indicates an atmosphere and oxidation state typical of a terrestrial planet. Abundant CH4 might require a biological source, yet abundant CH4 also can arise from a crust and upper mantle more reduced than that of Earth. The range of characteristics of extrasolar rocky planets might far exceed that of the Solar System. Planetary size and mass are very important indicators of habitability and can be estimated in the mid-IR and potentially also in the visible to near-IR. Additional spectroscopic features merit study, for example, features created by other biosignature compounds in the atmosphere or on the surface and features due to Rayleigh scattering. In summary, we find that both the mid-IR and the visible to near-IR wavelength ranges offer valuable information regarding biosignatures and planetary properties; therefore both merit serious scientific consideration for TPF and Darwin.     

控制系统故障诊断的模糊神经网络方法研究

控制系统的不确定故障诊断是目前尚未解决的问题。传统的神经网络方法和模糊推理方法为解决这一类故障诊断问题提出了一些算法。然而上述两种方法难以提高不确定故障诊断的性能。为此本文结合模糊理论的推理能力和神经网络学习的能力提出模糊神经网络故障检测方法。该算法同时具备模糊理论的处理不确定和不准确信息的能力和神经网络的自学习能力。本文结果应用到某运载火箭控制系统的故障诊断,仿真结果表明,本算法有效,较好地解决了控制系统不确定故障诊断问题。     

DS1620数字温度计／温度调节器及其应用

DS1620芯片是一种新型的测量温度和调节温度的器件。它本身就是一个数字温度计，能够输出9位二进制的温度值；同时，借助其三个温度报警输出和控制信号，DS1620也可作为温度调节器使用。本文详细阐述了DS1620数字温度计／温度调节器的特点、结构和原理，并结合具体例子介绍了DS1620的应用。文中给出了相关电路和程序框图。     

航天器结构材料的应用和发展

文章首先说明航天器结构材料的定义及其性能要求，然后简要介绍航天器结构材料的主要类型及其基本性能，并且综述航天器结构材料的应用概况，最后指出航天器结构材料的发展趋势。     

尺寸参数对气动液阀启动特性的影响

为气动液阀的启动过程建立了数学模型，分析了尺寸参数对该阀启动特性的影响。计算结果表明：在保证必要的工作寿命的前提下，适当地增大控制腔气孔的直径或增大靠近控制腔的活塞端面直径有利于提高该阀的响应能力。本文所得的结论有利于此类阀门的设计。     

红外隐身材料的研究进展

红外探测器的高度发展已使用于目标表面的热红外隐身材料成为飞行器隐身技术中的一个重要组成部分。但对这种材料的发展情况,以往的文献一向较少涉及。本文概括了这种材料的一般性能要求,较全面地评述了十余年来红外隐身材料研究中各主要方面的发展情况,并分析了一些重要材料品种的特点、性能水平、技术影响因素、存在的问题和发展趋势。