基于样本路径分析的交换式以太网实时通信调度方法

在离散事件动态系统(Discrete Event Dynamical System, DEDS )有限摄动分析(Finite Perturbation Analysis, FPA)的理论框架下,通过样本路径(Sample Path),分析了实时数据包在以太网交换设备中多路复用排队的行为;根据各个通信任务不同的实时性与重要性指标,提出了数据包在发送节点上的保持(holding)延迟的调节机制,避免了交换机多路复用器过度地拥塞。在新的通信任务动态加入的情况下,该机制能够即时地规划调度,适用于信息一体化环境下,航空器等运动平台电子系统中,本地与远程接入的数据高动态交互的交换式以太网环境。     

基于相空间重构和神经网络的压气机机匣静压预测

建立了基于相空间重构和径向基神经网络的压气机机匣静压的预测模型。对试验数据进行相空间重构,分析其混沌特性,根据重构相空间的最小嵌入维数确定网络输入参数的个数,采用K均值聚类的方法优化网络的拓扑结构,根据时间序列的最大李亚普诺夫指数确定预测模型的最大有效预测步数,利用径向基神经网络的强大非线性映射能力,实现对时间序列的非线性预测,试验结果证明了该方法的有效性。该方法对压气机趋势监控具有一定的参考价值。      

基于随机激励的某机匣模态实验与分析

用模态实验的方法对某型飞机发动机机匣的模态参数进行了识别。考虑噪声对频响函数的影响,在功率谱分析时,导出了噪声影响情况下的功率谱表达式,利用这个表达式计算了频响函数并最终用来提取模态参数。引入预实验方法用于机匣模态参数的探测中,以确定机匣上各个测点和激振器激振点的合理布置。考虑到实际工作时的激励情况,在实验台上用白噪声随机激励来模拟环境激励,对机匣进行了模态实验。与计算模态相比,用实验模态方法提取模态参数,避免了复杂的有限元建模与仿真,并能用相干函数来检验测得的实验数据的有效性。实验模态分析表明,得到的模态参数对于进一步改进机匣设计、分析其振动、疲劳寿命特性等具有重要的意义。      

Sumbandilasat—An operational technology demonstrator

Technology advances in sensor, digital technology and a standardised modular satellite bus are enabling a new generation of 80 kg micro-satellites with a better than 6.5 m GSD multi-spectral performance, to be specified, built and deployed with a dedicated launch within 12 months. The result of the standardised modular bus is lower cost, higher reliability and fast deployment. Operational remote sensing with a micro-satellite is thus within reach of individual organisations for dedicated missions. Sumbandilasat (pioneer in the Venda language) is a second generation satellite technology building on the expertise obtained in the Sunsat small satellite programme. The components used to build Sumbandilasat are the result of a technology development program of more than 3 years. Sumbandilasat is an operational technology demonstrator with more than 90% newly developed or improved subsystems and a compact refractive imager as a precursor to the MSMISat satellite with the same multi-spectral band set. The scalable, standardised modular satellite bus architecture enables satellites with a mass of 80–450 kg to be adapted to the specific mission requirements with minimum new engineering effort.     

支持向量机在航空结构声激励应力分析中的应用

支持向量机是一种新的机器学习方法。它以统计学习理论为基础,从结构风险最小化原则出发,具有很好的泛化及推广能力。通过采用支持向量机对飞机襟翼结构在声激励试验中获得的总应力、总加速度及总声压数据进行分类,分别获得结构响应间的线性关系和非线性关系的样本点以及线性与非线性界限。最后利用多元线性回归模型分别建立线性关系和非线性关系的仿真模型。研究表明,支持向量机在模式分类中具有良好的分类性能,在解决航空结构声疲劳问题中有较好的工程应用前景。     

小卫星临近作业轨道和姿态联合控制

建立了小卫星相对轨道和姿态的误差动力学模型,根据作业任务和姿态指向要求确定了小卫星相对轨道和姿态的期望运动;采用相对轨道和姿态联合控制策略,并考虑小卫星作业过程中质量和转动惯量的不确定性,设计了自适应全状态反馈控制律;数值仿真结果表明该控制律具有较强的自适应性。     

载人飞船泄复压过程中轨道舱的噪声环境试验研究

为了考察航天员对载人飞船泄复压过程中轨道舱内噪声环境的适应性,在KM6水平舱进行了相应的模拟试验,对轨道舱中的噪声环境进行了试验测量与研究.试验结果及航天员的实际感受表明,泄复压过程中轨道舱内的噪声环境满足要求,产生的噪声对航天员不会造成伤害.     

Semi-analytical investigations of high area-to-mass ratio geosynchronous space debris including Earth’s shadowing effects

This paper investigates the long-term perturbations of the orbits of geosynchronous space debris influenced by direct radiation pressure including the Earth’s shadowing effects. For this purpose, we propose an extension of our homemade semi-analytical theory [Valk, S., Lemaître, A., Deleflie, F. Semi-analytical theory of mean orbital motion for geosynchronous space debris under gravitational influence. Adv. Space Res., submitted for publication], based on the method developed by Aksnes [Aksnes, K. Short-period and long-period perturbations of a spherical satellite due to direct solar radiation. Celest. Mech. Dyn. Astron. 13, 89–104, 1976] and generalized into a more convenient non-singular formalism. The perturbations accounting for the direct radiation pressure with the Earth’s shadow are computed on a revolution-by-revolution basis, retaining the original osculating Hamiltonian disturbing function. In this framework, we compute the non-singular mean longitude at shadow entry and shadow exit at every orbital revolution in opposition to classical approaches where the singular eccentric anomalies at shadow entry and shadow exit are computed. This new algorithm is developed using non-singular variables. Consequently, it is particularly suitable for both near-circular and near-equatorial orbits as well as orbits which transit periodically around null eccentricities and null inclinations.The algorithm is tested by means of numerical integrations of the equations, averaged over the short periods, including radiation pressure, J₂, the combined Moon and Sun third body attraction as well as the long-term effects of the 1:1 resonance occurring for geosynchronous objects. As an extension of [Valk, S., Lemaître, A., Anselmo, L. Analytical and semi-analytical investigations of geosynchronous space debris with high area-to-mass ratios influenced by solar radiation pressure. Adv. Space Res., doi:10.1016/j.asr.2007.10.025, 2007b], we especially apply our analysis to space debris with area-to-mass as high as 20 m²/kg. This paper provides numerical and semi-analytical investigations leading to a deep understanding of the long-term evolution of the semi-major axis. Finally, these semi-analytical investigations are compared with accurate numerical integrations of the osculating equations of motion over time scales as high as 25 years.     

一种模拟整星热环境的小型单机热平衡试验

文章通过对一个典型的单机热分析和热试验的研究,提出了一种小型单机热平衡试验方法,模拟单机在整星环境下的热平衡试验,以避免只为验证其热设计而再次补做整星热平衡试验。为准确模拟单机在星内的辐射和导热过程,通过灰体间辐射热网络法和仪器安装板处单元体热平衡法,给出了等效辐射特征点和等效导热特征点的确定方法;并结合试验结果,对模型修正的合理性、局限性进行了分析,提出了在实际应用过程中应注意的问题。     

一种基于随机集的模糊观测的多目标跟踪算法

为解决目标数未知或随时间变化时模糊观测的多目标跟踪问题,将多目标状态和模糊 观测数据表示为随机集形式,利用模糊观测的似然函数融合模糊数据,建立了模糊观测的概 率假设密度(probability hypothesis density,PHD)粒子滤波方法。这种方法首先利用 粒子滤波预测和更新随机集的PHD,然后估计目标数N,最后找出N个PHD最大的点就 是多目标的状态估计。在相同的仿真环境中,用这种方法与用重心去模糊器进行去模糊处理 后的观测数据同时跟踪目标数变化情况下的多目标,并进行了比较,结果表明,模糊观测多 目标跟踪的PHD粒子滤波能稳健跟踪目标数未知或随时间变化时的目标状态和目标数,性能 好于去模糊情况。