基于虚拟技术的单闭环直流调速系统的研究

本文建立了他励直流电动机虚拟模型,通过模型进行仿真算法分析,并利用虚拟技术,在仿真平台上实现仿真,在上位机上显示数据,对单闭环直流调速系统进行可行性研究与优化。仿真做的主要前期工作为模型建立,通过电枢回路方程和动力方程进而推导出电动机的数学模型方程,并对模型进行分析计算。后期工作对所建立的模型进行仿真,并调试出模型数据,进而得到仿真结果。设计的虚拟模型建立在虚拟仿真平台上,利用平台的模拟和数字输入输出端口进行信号的采集和传递,并利用仿真平台强大的内部资源进行运算分析,从而达到期望的研究效果。     

红外吸收法测硅铁中的超低硫

应用高频红外碳硫仪,建立了硅铁合金中超低硫测定方法,对选择适当的测定条件如助熔剂、分析时间等进行了探讨,最佳测定条件:最大工作电流为400～480 mA;载气纯度为99.99%;陶瓷坩埚需经1 100℃灼烧2 h后,可使空白降至最小;硫元素最短分析时间为40 s,比较水平为5.00.     

Robust sparse principal component analysis

The model for improving the robustness of sparse principal component analysis（PCA） is proposed in this paper. Instead of the l2-norm variance utilized in the conventional sparse PCA model,the proposed model maximizes the l1-norm variance,which is less sensitive to noise and outlier. To ensure sparsity,lp-norm（0 p 1） constraint,which is more general and effective than l1-norm,is considered. A simple yet efficient algorithm is developed against the proposed model. The complexity of the algorithm approximately linearly increases with both of the size and the dimensionality of the given data,which is comparable to or better than the current sparse PCA methods. The proposed algorithm is also proved to converge to a reasonable local optimum of the model. The efficiency and robustness of the algorithm is verified by a series of experiments on both synthetic and digit number image data.     

阳离子交换树脂催化合成十三碳二元酸二乙酯

以强酸性阳离子交换树脂为催化剂,十三碳二元酸与乙醇为原料合成十三碳二元酸二乙酯,考察了影响反应的因素。结果表明:醇酸摩尔比为4∶1,催化剂用量为酸质量的2%,在3分子筛脱水的情况下反应7 h,酯化率达98.4%,并且催化剂可重复使用3次。     

论言语信息差的生成及其效应

信息差是言语交际中信息发送与接收间的不等值现象,这种不等值有两种情况:一是信息损耗,二是信息冗余;它们都可能由编码和解码任何一方引起.信息差有负面效应,也有正面效应.在言语交际中,它可能造成信道干扰,影响信息的正常传递;但如果巧妙设置,可以营造幽默的效果,增强语言的清晰度和亲切感,有助于渲染文学作品的气氛或刻画人物性格.     

Microstructural studies of aluminium-silicon alloy reinforced with alumina fibres

The microstructure of an alumina fibre reinforced Al-7wt% Si alloy has been investigated. It was shown that the Al-Si eutectic structure which characterized this alloy was markedly changed by the presence of the fibres, with coarsening of silicon particles and a reduction in primary aluminium grain size. The coarse silicon particles exhibited twinning but no orientation relationship with the aluminium. Fine silicon precipitates were also present and these had a cube-cube orientation relationship with the aluminium lattice. Lath-like intermetallics, FeSiAl₅ and FeSi₂Al₄ with monoclinic and tetragonal structures, were identified which existed in equilibrium and had the epitaxial relationship (001)_mono//(001)_tet and [100]_mono//[100]_tet. The iron was a contaminant introduced in the course of composite fabrication.Dislocations were a common feature of the aluminium matrix, with a typical density of 4×10⁷mm^–2. Nevertheless, dislocation hardening of the metal matrix was not detected. No evidence of Mg₂Si precipitates in the metal matrix was found, but the small addition (0.2wt%) of magnesium to the alloy was discovered to segregate at the fibre-aluminium interface. This segregation was believed to result in improved wettability of the two constituents, encouraging the formation of a strong fibre-matrix bond, and producing desirable properties of the composite in the transverse direction.     

三维双缓存动画模拟软件制作系统设计

为了提高三维双缓存动画模拟和视觉重现能力,利用三维视觉重构和嵌入式VR构架,设计三维双缓存动画模拟软件制作系统.首先构建三维双缓存动画模拟软件的总体结构模型,采用嵌入式BS构架体系进行系统的结构分析,利用物联网组网技术进行动画模拟软件制作系统的网络组网设计,采用VR技术进行三维动画制作过程中的虚拟现实仿真和三维视觉重构,在数据处理模块中处理三维双缓存动画模拟的图像,结合高分辨的视觉重建算法,进行三维双缓存动画模拟控制和视觉重建,实现三维双缓存动画模拟的系统优化设计.仿真结果表明,采用该方法进行三维双缓存动画模拟的视觉表达效果较好,3D动画模拟逼真度较高,系统的稳定性较好,人机交互能力较强.     

卡尔曼滤波算法在MEMS热式风速风向传感器中的应用

针对MEMS热式风速风向传感器在实际使用过程中因噪声问题导致输出不稳定的现象,本文首次采用了卡尔曼(Kalman)滤波算法对本征白噪声进行滤波处理,从而优化传感器的输出性能.本文分别通过理论分析和仿真模拟证明了Kalman滤波算法的可行性.实验结果表明,通过调节相关参数,Kalman滤波算法在滤波效果、响应速度及误差上均优于传统的加权滑动均值滤波算法.除此之外,在消耗较少资源的前提下,Kalman滤波算法可以有效减少本征白噪声的干扰,且调节空间较大,可以适应不同的应用需求.     

物流中心选址问题的二元语义决策方法

为了有效避免语言评价中信息的损失和扭曲,从而提高物流中心选址的准确性,在层次分析法中引入三角模糊数,将各评价指标量化,提出一种二元语义决策选址方法.给出二元语义评价的方法与步骤,并通过物流中心选址的算例分析说明该方法的合理性.