Human factors quantification via boundary identification of flight performance margin

A systematic methodology including a computational pilot model and a pattern recognition method is presented to identify the boundary of the flight performance margin for quantifying the human factors. The pilot model is proposed to correlate a set of quantitative human factors which represent the attributes and characteristics of a group of pilots. Three information processing components which are influenced by human factors are modeled： information perception, decision making, and action execution. By treating the human factors as stochastic variables that follow appropriate probability density functions, the effects of human factors on flight performance can be investigated through Monte Carlo（MC） simulation. Kernel density estimation algorithm is selected to find and rank the influential human factors. Subsequently, human factors are quantified through identifying the boundary of the flight performance margin by the k-nearest neighbor（k-NN） classifier. Simulation-based analysis shows that flight performance can be dramatically improved with the quantitative human factors.     

加速度计动态校准装置的研究

加速度计动态校准装置的研究是在加速度计静态校准的基础上提出的.针对加速度计动态校准领域中在大加速度、低频范围内的校准,本文论述了加速度计动态校准发展现状,主要从校准装置的原理、组成和不确定度分析等几方面进行了研究,最后对该校准装置的下一步研究领域进行了展望.     

基于VC++/GL Studio的通用飞行组合虚拟仪表设计及实现

为了满足某无人机半实物仿真系统视景显示需要,针对视景界面复杂、显示数据种类多、实时性和流畅性要求高的特点,设计了基于GL Studio的组合虚拟仪表界面。详细介绍了组合虚拟仪表设计和实现过程,并通过VC++平台实现了网络通信和数据驱动仪表显示功能。仿真系统实际应用表明：该飞行组合仪表工作性能可靠,人机界面友好,具有良好的可重构性,满足不同无人机飞行仿真系统和飞行训练系统使用需求。     

稳态加速度模拟试验设备：离心机设计（17）

文章分3篇10章详细介绍了稳态加速度模拟试验设备——离心机的设计。上篇对稳态加速度环境及其效应、试验方法和相关标准作了阐述;中篇（上）系统介绍国内外该类离心机发展的基本历程、概貌及典型离心机结构细节,并对其适当予以小结与点评;中篇（下）对离心机运动学进行基本理论分析,研究总体设计和部件设计问题,提出离心机设计原则及相应计算方法;下篇通过一个国家＂七五＂科技攻关项目的研制报告作为实例,提供读者进行具体设计时参考。文中,作者对多年累积的技术资料与实践心得进行了系统整理与归纳,力求梳理出一条研制稳态加速度模拟用离心机的设计思路与实用程序,使其兼具资料性、技术性与实用性。该文对相关领域的研究者和技术人员将有一定启发与助益,对其他类同设备设计也有某些触类旁通作用,对该专业有兴趣的读者也可作为参考读物。文章主要探讨的对象是中型、大型、特大型航空航天离心机,土工离心机和载人离心机。在第8章中介绍了离心机主要部件的设计。     

稳态加速度模拟试验设备：离心机设计（4）

路和实用的工作程序.该文章对相关领域的研究人员和技术人员会有启发和帮助,同时对其他同类设备的设计也有触类旁通的作用.文章主要探讨的对象是中型、大型、特大型航空航天物体离心机,土工离心机和载人离心机.     

Past, present and future implications of human supervisory control in space missions

Achieving the United States’ Vision for future Space Exploration will necessitate far greater collaboration between humans and automated technology than previous space initiatives. However, the development of methodologies to optimize this collaboration currently lags behind development of the technologies themselves, thus potentially decreasing mission safety, efficiency and probability of success. This paper discusses the human supervisory control (HSC) implications for use in space, and outlines several areas of current automated space technology in which the function allocation between humans and machines/automation is sub-optimal or under dispute, including automated spacecraft landings, Mission Control, and wearable extra-vehicular activity computers. Based on these case studies, we show that a more robust HSC research program will be crucial to achieving the Vision for Space Exploration, especially given the limited resources under which it must be accomplished.     

Optimal motion cueing algorithm for accelerating phase of manned spacecraft in human centrifuge

This paper presents a novel optimal Motion Cueing Algorithm (MCA) to control the rotations of a Human Centrifuge (HC) and achieve the best simulation of a SpaceCraft (SC) motion. Relations of the specific forces sensed by astronauts of the SC and the HC have been derived and linearized. A Linear Quadratic Regulator (LQR) controller is implemented for the problem which tends to minimize the error between the two sensed specific forces as well as control input in a cost function. It results in control inputs of the HC to generate its sensed specific force as close as possible to the one in the SC. The algorithm is implemented for both linearized and nonlinear portions of a US space shuttle mission trajectory as a verification using MATLAB. In longitudinal direction, the proposed MCA, works well when the acceleration is less than 2g in which the tracking error does not exceed 12%. In lateral direction the tracking is much better even in nonlinear region since the error remains less than 7% for tilting up to 50°. Finally, the effect of weight matrixes in the LQR cost function on overall weight and power of the HC motion system is discussed.     

An integrated graphic–taxonomic–associative approach to analyze human factors in aviation accidents

Human factors are critical causes of modern aviation accidents. However, existing accident analysis methods encounter limitations in addressing aviation human factors, especially in complex accident scenarios. The existing graphic approaches are effective for describing accident mechanisms within various categories of human factors, but cannot simultaneously describe inadequate human–aircraft–environment interactions and organizational deficiencies effectively, and highly depend on analysts' skills and experiences. Moreover, the existing methods do not emphasize latent unsafe factors outside accidents. This paper focuses on the above three limitations and proposes an integrated graphic–taxonomic–associative approach. A new graphic model named accident tree(AcciTree), with a two-mode structure and a reaction-based concept, is developed for accident modeling and safety defense identification. The AcciTree model is then integrated with the well-established human factors analysis and classification system(HFACS) to enhance both reliability of the graphic part and logicality of the taxonomic part for improving completeness of analysis. An associative hazard analysis technique is further put forward to extend analysis to factors outside accidents, to form extended safety requirements for proactive accident prevention. Two crash examples, a research flight demonstrator by our team and an industrial unmanned aircraft, illustrate that the integrated approach is effective for identifying more unsafe factors and safety requirements.     

考虑人及组织因素的航天工程项目风险分析模型

针对人及组织因素是造成航天工程项目风险的重要原因,在揭示了人及组织因素产生航天工程项目风险的机理基础上,构建了考虑人及组织因素的航天工程项目风险分析模型。模型首先评价人及组织因素对航天工程元器件建造工作质量的影响,接着测度工作质量与不同缺陷类型之间的一致性概率,并应用Poisson分布计算缺陷严重性,最后根据贝叶斯定理对元器件先验失效率进行修正,通过一个经过数据处理的航天工程项目对所构建的模型和方法进行了验证。