SSETO—Small Satellite for Exoplanetary Transit Observation

SSETO is the result of a phase-A study in context of the small satellite program of the University of Stuttgart that demonstrates the capability of a university institute to build a small satellite with a budget of 5 million Euro. The satellite will be capable of observing exoplanets in a Neptune–Earth scale and obtaining data of interstellar dust. Due to a system failure of NASA?s Kepler mission, there is currently (October 2013) a lack of satellites searching for exoplanets. This paper details the design of subsystems and payload, as well as the required test tasks in accordance with the mission profile at a conceptional level. The costs for standard spacecraft testing and integration tasks are included, but not those of launch, ground support, operations and engineer working hours.     

Two freedom linear parameter varying μ synthesis control for flight environment testbed

To solve the problem of robust servo performance of Flight Environment Testbed(FET)of Altitude Ground Test Facilities(AGTF) over the whole operational envelope, a two-degree-offreedom μ synthesis method based on Linear Parameter Varying(LPV) schematic is proposed, and meanwhile a new structure frame of μ synthesis control on two degrees of freedom with double integral and weighting functions is presented, which constitutes a core support part of the paper. Aimed at the problem of reference command's rapid change, one freedom feed forward is adopted, while another freedom output feedback is used to meet good servo tracking as well as disturbance and noise rejection; furthermore, to overcome the overshoot problem and acquire dynamic tuning,the integral is introduced in inner loop, and another integral controller is used in outer loop in order to guarantee steady errors; additionally, two performance weighting functions are designed to achieve robust specialty and control energy limit considering the uncertainties in system. As the schedule parameters change over large flight envelope, the stability of closed-loop LPV system is proved using Lyapunov inequalities. The simulation results show that the relative tracking errors of temperature and pressure are less than 0.5% with LPV μ synthesis controller. Meanwhile, compared with non-LPV μ synthesis controller in large uncertainty range, the proposed approach in this research can ensure robust servo performance of FET over the whole operational envelope.     

Plant mineral nutrition,gas exchange and photosynthesis in space: A review

Successful growth and development of higher plants in space rely on adequate availability and uptake of water and nutrients, and efficient energy distribution through photosynthesis and gas exchange. In the present review, literature has been reviewed to assemble the relevant knowledge within space plant research for future planetary missions. Focus has been on fractional gravity, space radiation, magnetic fields and ultimately a combined effect of these factors on gas exchange, photosynthesis and transport of water and solutes.     

飞院精神文化的竞争力

文化竞争力是高校核心竞争力，精神文化是大学文化的最高层次，其竞争力决定一所高校文化的整体竞争力。飞院精神文化具有良好的竞争力，表现为鲜活的生命力、强大的凝聚力、持久的驱动力、高度的奉献力和卓越的弓l领力。     

高校班主任应是学生心理健康教育的指导教师

本文从全国各高校普遍存在的大学生心理健康的不良状况入手 ,分析了高校班主任工作的特点 ,论证了高校班主任工作的新角色应该是大学生心理健康教育的指导教师     

高校图书馆采访方式的整合及采访质量监控

高校图书馆的采访工作是保证馆藏图书质量的重要关口,通过对高校图书馆常用采访方式的分析,提出了现采与预定,网上采访,建立学科馆员采访制度的整合和互融,只有一切从实际出发,满足师生需求,同时,建立起质量评价监控体系,才是提高馆藏图书质量的有效方法。     

国家数值风洞(NNW)工程中的黏性自适应笛卡尔网格方法研究进展

相比传统的结构和非结构网格,笛卡尔网格具有自动化和高质量兼顾的优势,是未来网格技术发展的重要方向。面向笛卡尔网格生成软件开发需求,依托国家数值风洞（NNW）工程,介绍了黏性自适应笛卡尔网格技术相关课题的研究工作进展,重点从网格生成技术、自适应方法、黏性物面边界处理方法等方面展开。网格生成技术方面,基于全线程树数据结构的思想,开展了叉树数据结构的优化;针对物面离散单元信息的快速检索,构建了稳定、平衡、高效的叉树式物面网格数据结构;对于网格单元类型的判断,发展了染色方法和包围盒方法以提高效率;针对大规模网格量,发展了高性能并行计算技术。自适应技术方面,发展了基于几何特征和流场解特征的自适应方法,建立了流场结构捕捉判据,并开展了三维复杂构型的应用;为了降低全局网格规模,发展了各向异性自适应方法,构建了各向异性特征识别的综合判据;发展了边界层法向射线加密技术,以减少边界层内的网格数目。物面边界处理方面,发展了重叠笛卡尔网格方法,构建了重叠网格尺度匹配技术和数据交互方法;开展了壁面函数方法在笛卡尔网格框架下的适应性应用,以放宽壁面网格尺度限制、降低边界层网格规模,并通过典型算例验证了方法的可靠性。     

基于两步优化策略的结构网格负载平衡

国家数值风洞（NNW）工程旨在发展完全自主知识产权的计算流体力学（CFD）软件,结构网格负载平衡问题研究是该工程中的一个重要组成部分。本文发展了两步优化策略以求解结构化网格的负载平衡问题。第1步优化采用传统的贪婪算法,完成对大块网格的剖分和以进程计算时间为指标的网格块分配;第2步采用遗传算法（GA）,目标函数兼顾进程计算时间和通信时间,在第1步优化结果的基础上,对网格块在进程上的分配开展二次优化。为准确计算GA的目标函数,构建了一套计算时间和通信时间的建模方法,包括样本生成、模型建立和模型验证,整体方法具有一定的通用性。根据负载平衡问题以及两步优化策略的特点,对GA的编码、交叉、变异和种群初始化进行了研究,详细分析了交叉操作的递归问题及解决方法。算例验证说明建立的进程计算时间和通信时间模型具有较高的计算精度,能够用于GA的目标函数计算;两步优化策略能够在第1步优化的基础上进一步改善优化结果,从而减少CFD问题的整体计算时间,对于计算量巨大的工程问题具有较大的实用价值。     

NMD中导弹预警卫星系统的发展

介绍了美国国家导弹防御系统(NMD)的核心——导弹预警卫星系统自1959年以来的发展和未来趋势，详细阐述了国防支援计划(DSP)与天基红外预警卫星系统(SBIRS)的进展，并探讨了未来美国国家弹道导弹防御计划中导弹预警系统的组成和功能。     

浅析针对高校教师队伍员工援助计划(EAP)的实施

着重探讨了员工援助计划(EAP)在我国高等院校中的实施情况。EAP的产生与工业大生产密切相关,在企业中的使用较为普遍。本文分析了EAP向高校扩散的路径,并通过对高校教师职业压力来源的分析提出了EAP在高校中的实施模式。