Protostellar Disk Formation and Early Evolution

This contribution describes the formation of circumstellar disks and their earliest evolutionary phases when self-gravity in the disk plays a crucial role in eliciting the transport of mass and angular momentum. We first discuss the formation of protostellar disks within the context of analytic infall-collapse solutions. We then discuss our efforts to understand the behavior of the newly formed disks. Our specific approach consists of performing a detailed analysis of a simplified model disk which is susceptible to the growth of a spiral instability. Using a combination of numerical simulation and semi-analytic analysis, we show how the dramatic early phase of mass and angular momentum transport in the disk can be explained by a second-order nonlinear process involving self-interaction of a dominant two-armed spiral mode. This revised version was published online in June 2006 with corrections to the Cover Date.     

模糊控制方法及其在飞控中的应用

对于较大的飞行包线，飞机对象的参数变化剧烈，采用常规控制方法往往不能保证在较大飞行包线范围内均取得良好的控制效果，基于此，提出了一种新型的自组织模糊控制方法，该对系统内部参数的剧烈变化具有很强的适应性，然后对飞机飞行控制系统的控制律设计进行了研究。用所提出的模糊控制方法设计了部分控制律，最后以某型国产飞机对象，采用飞机六自由度非线性仿真模型，在一个较大的飞行包线范围内，进行了飞行仿真，取得了良好的     

机载设备通用ATS自检适配器设计

ATS已广泛应用于航空航天设备生产、保障以及导弹等武器装备的生产维护领域。针对传统的通用自动测试系统自检周期长、工作量大以及容易出错等缺点,总结系统自检的基本原则以及需注意的问题,介绍了基于PXI总线的机载设备通用ATS自检适配器的软硬件设计方法。     

空间细胞机器人系统关键技术及其应用

针对传统空间操控装置难以适应未来大型空间设施在轨建设的问题,提出一种能够实现多层次自重构的空间细胞机器人系统,并对其概念体系以及设计理念进行了分析。介绍了空间三角桁架装配场景下的空间细胞机器人系统硬件设计。提出了空间细胞机器人系统关键技术,包括多智能体协同不确定行为规划、多层次机器人系统构型决策、多智能体协同无环境地图自主导航以及多智能体分层协同分布式控制等。最后结合空间细胞机器人系统的特点与优势,对其应用前景进行了展望。     

压气机端壁自适应流通延迟失速的数值分析

端壁自适应流通方式是轴流压气机主动控制失速方法的有效措施之一,即在机匣上结合喷气与引气的方式来延迟压气机的失速,其特点是自适应流通的喷气或吹气量将随压气机的工况自我调整。采用数值模拟方法研究了端壁自适应流通方式对某轴流压气机气动性能的影响,数值计算结果表明,端壁自适应流通方式能有效地延迟失速并略微提高压气机的效率,通过详细地分析端壁自适应流通方式对压气机顶部区域流场结构的影响,揭示了其改善压气机性能的机理。     

Spatial understanding and temporal correlation for a mobile robot

In this article we discuss a network model, which simulates functionallysome of the features intrinsic to human navigation and the merits ofincorporating such features on a behavior-based robot. Specifically thepaper deals with implementing a memory based reasoning strategy duringreal-time navigation of a mobile robot. For the purpose ofimplementation, memory has been identified with an ability to cognizethe local environment or scenario, classify such scenarios in terms ofpreviously learned primitives or landmarks, remember and recollect suchprimitives at later instants and correlate over time similar experiencesof scenarios. Such memory based reasoning enhances the robot'snavigation capabilities through intelligent decisions due to spatialunderstanding, scene recollection abilities by remembrance and detectinglocal minimum traps through place recognition. A double layeredspatio-temporal classification scheme consisting of a fuzzy rule-basedspatial classifier and a temporal classifier based on self-organizingmap and ART networks are adopted for this purpose. The classifiernetwork reduces the robot's experience of its environment consisting ofa stream of sensor patterns into weight vectors that signify aparticular landmark. An extension of the network architecture is alsointroduced to cognize the presence of dynamic obstacles amidststationary ones.     

多点正弦模态试验技术的注记

探讨了多点稳态正弦激振模态试验技术的几个问题，利用离散傅立叶变换的正弦信号数据处理方法和实现，多点稳态正弦激振频响函数估计方法，利用测试频响函数确定多点正弦相位共振试验的适调激振力分布的奇异值分解方法，给出了两咎利用相位共振试验确定结构参数的计算方法。     

基于可观测度分析和模型预测的空间自标定方法

光纤陀螺以其优点适合空间飞行器定姿要求,但长期在轨飞行必须对光纤陀螺进行自标定。通常采用高维复杂陀螺模型计算实时性误差,而采用舍去状态量的降维模型影响系统定姿精度。针对这一问题,通过星敏感器观测,对高维陀螺模型进行可观测度分析,提出了一种基于模型预测的降维模型,将可观测度较低的状态作为模型误差进行预测估计,保证了系统精度并大大减小了计算量。半物理仿真结果表明此算法精度略高于高维模型自标定方法,计算量仅为高维模型的1/10,显著提高了系统的实时性。     

自适应卡尔曼滤波在平台射前自标定中的应用

研究了自适应卡尔曼滤波技术在平台射前自标定数据处理中的应用 ,标定采用四位置标定方法 ,对角度传感器输出建立常速度模型。在噪声统计未知或时变的情况下 ,每个位置采用自适应卡尔曼滤波解算出平台各轴的漂移角速率 ,并在此基础上辨识出漂移参数。仿真表明 ,自适应卡尔曼滤波能较好地满足标定精度要求