基于变刚度变阻尼的柔性喷管动态模型

针对柔性接头动态迟滞曲线受控制系统控制位置精度和动态响应速度影响较大的问题,基于电液伺服机构和柔性接头变刚度变阻尼模型,构建了柔性喷管的电液伺服机构-变刚度变阻尼模型,将其和电液伺服机构-定刚度定阻尼模型进行了对比。分析了电液伺服机构主要参数、柔性接头工作参数等对电液伺服机构-柔性接头系统动态特性的影响。分析结果表明:电液伺服机构-变刚度变阻尼模型所构造的迟滞曲线可更准确地与实验结果相吻合,并符合迟滞曲线随频率变化的规律,反馈系数、放大器静态放大系数、电液伺服机构增益、滑阀流量增益等参数对系统动态特性的影响更为明显。该模型为固体火箭发动机电液伺服机构-柔性接头系统动态特性的调整提供理论依据。     

双太阳翼GEO卫星在轨角动量管控方法

地球同步轨道(GEO)卫星在轨的主要环境干扰力矩为太阳光压力矩和重力梯度力矩,干扰力矩的累积效应表现为飞轮转速的变化,需要通过外力矩进行角动量卸载避免飞轮饱和。由于GEO磁场极弱,卫星无法使用磁力矩卸载,只能通过喷气卸载,而喷气将对卫星轨道产生影响,因此需要尽可能延长卸载周期。针对配置双对称太阳电池阵GEO卫星的角动量管控需求,首先建立卫星在惯性空间中角动量积累模型,并映射到卫星本体系中,得到本体系中的角动量变化规律。通过飞轮在轨转速遥测数据,精确辨识获取环境干扰力矩特征参数,获得真实可靠的干扰模型。以角动量卸载周期最长为原则,基于在轨环境干扰模型制定角动量管控策略,并准确预估下次角动量卸载时间。经在轨数据处理与分析表明:提出的角动量管控策略,可有效将飞轮的角动量卸载周期提升为原来的2倍,有效提升卫星在轨应用效能,具有实际工程意义。     

无线电陆空通话英语交际能力模型研究

民航无线电陆空通话语言是以英语为载体的一种空地交流的特殊语言。本文在应用语言学的研究成果之上,提出了该语言的交际能力模型,该模型包括语言能力、策略能力、背景知识和心理生理机制四个部分。笔者结合民航陆空通话实际,对模型各个部分进行了分析,重点解析了策略能力在模型中的核心功能。     

无人直升机舰上自主起降设计及实现CSCD

详细分析了无人直升机舰上自主起飞和降落流程,设计了自主起飞和降落控制策略,并根据起降策略设计了无人直升机舰上自主起降系统,可为舰载无人直升机的设计、研制及使用提供理论依据和技术支撑。     

基于海上无人值守的靶载终端结构系统研究

针对海洋恶劣环境,研究了一种适用于无人值守的靶载终端结构系统。通过建立靶载终端散热数学模型得到上下插齿式最优散热结构,提出了一种基于高度差的双层回旋式密封结构及方法。分析了靶载终端呼吸效应的产生机理及解决措施,研制了抗随机波载及抗冲击能力的缓冲振动平台,并且通过密封及振动冲击试验验证了靶载终端结构系统的可行性和准确性。为恶劣海洋环境下无人值守的靶载终端提供有力的技术保障,提高我国武器靶载终端作战水平。     

模块化空间折展机构研究现状与展望

模块化空间折展机构具有拓展灵活、通用性好、适应性强等特点,可满足长距离深空探测、长期在轨空间站建设和超广域卫星通信等重大航天工程对大型/超大型空间折展机构的需求,是一种新型关键的航天装备.针对应用需求,阐述了模块化空间折展机构领域的研究进展,重点介绍了伸展臂、太阳翼和空间可展开天线等3类折展机构中具有模块化特征的典型构...     

可制造性设计在系统工程过程中的应用研究

本文针对复杂产品协同设计、开发与验证过程中的可制造性共性问题,以航空电子系统为典型的复杂系统对象,探讨了可制造性的概念内涵、工作边界、组织架构和开展时机,着重从系统设计和开发策划、系统需求捕获与定义、系统架构定义、系统详细设计与实现和系统验证子过程的角度,详细阐释了可制造性设计融入系统工程过程的实施思路,并结合具体的应用实例,对可制造性设计对产品高质量交付的正向影响进行了阐释,为可制造性工作在系统开发与设计中的落地推广指明了方向、奠定了基础。     

A null frame for spacetime positioning by means of pulsating sources

We introduce an operational approach to the use of pulsating sources, located at spatial infinity, for defining a relativistic positioning and navigation system, based on the use of four-dimensional bases of null four-vectors, in flat spacetime. As a prototypical case, we show how pulsars can be used to define such a positioning system. The reception of the pulses for a set of different sources whose positions in the sky and periods are assumed to be known allows the determination of the user’s coordinates and spacetime trajectory, in the reference frame where the sources are at rest. We describe our approach in flat Minkowski spacetime, and discuss the validity of this and other approximations we have considered.     

Evolution of periodic orbits near the Lagrangian point L2

A study of the evolution of the periodic and the quasi-periodic orbits near the Lagrangian point L₂, which is located to the right of the smaller primary on the line joining the primaries and whose distance from the more massive primary is greater than the distance between the primaries, in the framework of restricted three-body problem for the Sun–Jupiter, Earth–Moon (relatively large mass ratio) and Saturn–Titan (relatively small mass ratio) systems is made. Two families of periodic orbits around the smaller primary are identified using the Poincaré surface of section method – family I (initially elliptical, gradually becomes egg-shaped with the increase in the Jacobi constant C and elongated towards the more massive primary) and family II (initially egg-shaped orbits elongated towards L₂ and gradually becomes elliptical with the increase in C). The family I in the Sun–Jupiter and Saturn–Titan systems contains two separatrix caused by third-order and fourth-order resonances, while the Earth–Moon system has only one separatrix which is caused by third-order resonances. Also in the Sun–Jupiter and the Saturn–Titan systems, family I merge with family II, around Jacobian constant 3.0393 and 3.0163, respectively, while in the Earth–Moon system, family II evolves separately from two different branches. The two branches merge at C = 3.184515. In the Earth–Moon system, the family II contains a separatrix due to third-order resonances which is absent in the other two systems.     

Mining Spatial Associations with Limited Sensory Information

Abstract

Human navigation in an unknown environment requires an understanding of the spatial relationships of the terrain. For example, a soldier who is on a reconnaissance mission in a new city needs to “know” the spatial layout of the surroundings with high confidence. Oftentimes, this understanding must be acquired within a very short amount of time and with limited sensory inputs. The soldier would benefit from a digital avatar that draws inferences about the spatial layout of the city based on an initial set of observations and guides the soldier either in further exploring the environment or in making decisions based on these inferences. In this paper, we present and evaluate an inductive approach to learning spatial associations using sensory data that is available from the simulation environment of a computer game, Unreal Tournament. We study two kinds of spatial relationships between nodes on a level of a game map: nodes that are placed near each other to satisfy some spatial requirement and nodes that are placed near each other to satisfy the design preferences of a level architect. We show that we can infer both kinds of relationships using an association rule mining algorithm. Furthermore, we show how to use an ontology to distinguish between these relationships in order to discover different types of spatial arrangements on a specific map. We discuss how the inferred associations can be used to control an avatar that makes recommendations for navigating unexplored areas on a map. We conclude with some thoughts on the applicability of our methods to scenarios in the real world, beyond the simulation environment of a game, and on how the learned associations can be represented and queried by a simple question-answer type system.