空间低温制冷控制器的缓启动电路建模分析

随着大功率空间低温斯特林制冷机的出现,制冷控制器仍采用传统缓启动和LC储能滤波串联抑制电路会产生不平稳/大超调的启动电流,造成制冷机控制器过流保护并对卫星电源及其他设备造成可能的浪涌破坏。在不增加元器件的情况下,提出一种具有启动电流反馈功能的缓启动和LC储能滤波电路配合方式。首先通过采用非线性器件MOSFET的低频微变等效模型对新旧配合电路进行了数学建模。之后针对小电感小电容和大电感大电容两种应用模式下的数学模型进行了简化和分析,在小电感小电容模式下新旧配合电路均可简化为无超调的一阶系统,在大电感大电容模式下传统配合电路为具有振荡特性的二阶系统,而新的配合电路仍为一阶系统,可以满足大电感大电容模式下启动电流无超调要求。最后通过Multisim仿真对比分析和实际试验证明了新的配合电路的合理性和有效性,试验表明启动电流均匀平稳无超调,启动电流峰值抑制约50%。     

用于动态称重的一种数据处理方法

概述了动态抓斗秤的数据处理方法，并给出了相应的数学模型。     

捷联数字式航向系统校准方法

探讨一种能用于捷联数字式航向系统的实用校准方法及其校准数据的处理方法。     

动态试飞数据修正

叙述了试飞测量数据修正的内容，介绍了修正仪器动态特性的方法，重点是时域修正方法－时间平移法，该方法准确、简便，已在多个型号试飞数据处理中得到成功的应用。     

大尺寸蜗轮齿距累积误差的检测及数据处理

介绍了１种作为工厂机床检修中大尺寸蜗轮距累积误差的检测装置和检测方法，以及用计算机快速准确地进行数据处理。     

平面直线平行度误差的解析评定法与微机数据处理

本文建立了平面直线平行度误差的三种不同评定方法的数学模型。依据该数学模型,利用微型电子计算机处理数据,具有速度快、精度高的特点。     

遥感图像数据压缩新技术研究

研究了遥感图像数据压缩新技术。利用半正交小波基和对偶系设计了具有严格线性相位和精确重建特性的ＦＩＲ滤波器组，将其应用于遥感图像的数据压缩，取得了良好的成果。     

主导概率数据关联及算法

本文给出主导概率数据关联（ＤＰＤＡ）及算法，定义主导联合事件和主导概率，考虑实际目标环境可行联合事件出现为非等概率，导出主导概率数据关联计算方法，它无需计算所有行联合事件的联合率，从而克服了联合概率数据关联（ＪＰＤＡ）的组合问题，本文证明了ＤＰＤＡ性能上限不低于ＪＰＤＡ，下限低于ＰＤＡ，而下限出现的概率极小。本文给出了ＭｏｎｔｅＣａｒｌｏ仿真表明ＤＰＤＡ算法具有很好的性能和较高的实用价值。     

三坐标测量机的现状、发展与未来

叙述了三坐标测量机的基本构成、国内外上产现状、发展与未来。包括测量机的准确度、分类及丰富的软件。尤其对测量机的发展作了较详细的介绍。最后，预测厂测量机的未来。     

Analysis of solar spike events by means of symbolic dynamics methods

We have searched for interrelations of spikes emitted simultaneously at different frequencies during the impulsive phase of flare events (Fig.1). As the spikes are related to the flare energy release and are interpreted as emissions that originate at different sites having different magnetic field strengths, any relation in frequency is interpretated as a relation in space. Quantities of symbolic dynamics, such as mutual information, Shannon information and algorithmic complexity are appropriate to characterize such spatiotemporal patterns, whereas the popular estimate of fractal dimensions can be applied to low-dimensional systems only.The goal is to decide between two possible types of fragmentation depending on the energy release and emission processes, which we callglobal andlocal organization. In the global organization the whole region becomes supercritical, and the energy is released in independent, small regions. The alternative local scenario requires a trigger that spreads from initial localized events and ignites nearby regions.Mutual information which is a generalization of correlation indicates a relation in frequency beyond the bandwidth of individual spikes. The scans in the spectrograms with large mutual information also show a low level of Shannon information and algorithmic complexity, indicating that the simultaneous appearance of spikes at other frequencies is not a completely stochastic phenomenon (white noise). It may be caused by a nonlinear deterministic system or by a Markov process. By means of mutual information we find a memory over frequency intervals up to 60 MHz (Fig. 2). Shannon information and algorithmic complexity, however, describe spike events as a whole, i.e. a global source region. A global organization is also apparent in quasi-periodic changes of the Shannon information and algorithmic complexity in the range of 2–8 seconds (Fig. 3).This findings is compatible with a scenario of local organization in which the information of one spike event spreads spatially and hence triggers further spike events at different places. The region is not an ensemble of independently flashing sources, each representing a system that cascades in energy after an initial trigger. On the contrary, there is a causal connection between the sources at any time.The analysis of four spike events suggests that the simultaneous appearance of spikes is not stochastically independent but a process in which spikes at nearby locations are simultaneously triggered by a common exciter.We have shown in the case in the case of spikes that quantities from nonlinear dynamics used in this paper are helpful in detecting structural properties of complex spatio-temporal patterns. This approach seems to be promising also for several other astrophysical applications.