Closed-loop optimal control-enabled piezoelectric microforce sensors

This paper presents a closed-loop optimally controlled force-sensing technology with applications in both micromanipulation and microassembly. The microforce-sensing technology in this paper is based on a cantilevered composite beam structure with embedded piezoelectric polyvinylidene fluoride (PVDF) actuating and sensing layers. In this type of sensor, the application of an external load causes deformation within the PVDF sensing layer. This generates a signal that is fed through a linear quadratic regulator (LQR) optimal servoed controller to the PVDF actuating layer. This in turn generates a balancing force to counteract the externally applied load. As a result, a closed feedback loop is formed, which causes the tip of this highly sensitive sensor to remain in its equilibrium position, even in the presence of dynamically applied external loads. The sensor's stiffness is virtually improved as a result of the equilibrium position whenever the control loop is active, thereby enabling accurate motion control of the sensor tip for fine micromanipulation and microassembly. Furthermore, the applied force can be determined in real time through measurement of the balance force.     

OCT-M FCC 汽油深度加氢脱硫技术的研究及工业应用

比较研究了MIP汽油与常规FCC汽油的特点，考察了抚顺石油化工研究院(FRIPP)开发的OCT-M催化汽油选择性加氢脱硫技术由MIP汽油与FCC汽油生产硫含量≯50µg/g汽油的情况下的辛烷值损失。工业应用结果表明，OCT-M技术将MIP汽油硫含量由417～442µg/g降低到24～53µg/g，RON损失0.7～1.8个单位。因此，OCT-M技术可为我国炼厂生产硫含量≯50µg/g的清洁汽油提供经济、灵活的技术方案。     

RETRACTED ARTICLE: Intelligent traffic monitoring and traffic diagnosis analysis based on neural network algorithm

Traffic sign recognition and lane detection play an important role in traffic flow planning, avoiding traffic accidents, and alleviating traffic chaos. At present, the traffic intelligent recognition rate still needs to be improved. In view of this, based on the neural network algorithm, this study constructs an intelligent transportation system based on neural network algorithm, and combines machine vision technology to carry out intelligent monitoring and intelligent diagnosis of traffic system. In addition, this study discusses in detail the core of the monitoring system: multi-target tracking algorithm, and introduces the complete implementation process and details of the system, and highlights the implementation and tracking effect of the multi-target tracker. Finally, this study uses case identification to analyze the effectiveness of the algorithm proposed by this paper. The research results show that the proposed method has certain practical effects and can be used as a reference for subsequent system construction.

     

基于SVR模型预测超薄浮法玻璃气泡数量的研究

针对超薄浮法玻璃生产过程存在反馈滞后大、生产复杂、产品质量难以精确控制的情况以及气泡质量缺陷严重影响产品应用的问题,本文采用SVR模型对超薄浮法玻璃气泡数量进行预测,结合实际生产数据对模型进行验证,并探究熔化时滞时间以及特征属性对模型精度的影响,采用Relief-F算法结合实际建模结果筛选出对气泡产生有影响的重要特征属性.研究结果表明,SVR模型能精确预测玻璃气泡数量,为后续生产提供决策支持;熔窑池底温度与熔窑碹顶温度对超薄浮法玻璃生产中气泡的产生有较大影响.     

添加剂硫对Ni-Mn-Co粉末触媒合成金刚石的影响

本研究考察了高温高压条件下添加剂硫对Ni-Mn-Co粉末触媒合成金刚石的影响，并在此基础上，考察了含硫金刚石的机械性能。研究表明：硫对Ni70Mn25Co5粉末触媒合成金刚石的成核有明显的抑制作用，随着硫含量的增加，成核呈减少趋势；添加剂硫影响晶体的颜色和晶形，随添加剂含量的增加，晶体的颜色呈加深趋势，硫的添加使晶体的表面出现孔洞缺陷，当硫含量较低时，孔洞缺陷多分布在（100）晶面上，当硫含量较高时，（111）晶面上也出现孔洞，致使晶体的完整性受到制约；添加剂硫影响金刚石的机械性能，随着添加剂硫含量的增加，含硫金刚石的冷冲击强度（TI）和热冲击强度（TTI）呈明显的下降趋势。     

社会资本支持矿产资源勘查开发的路径与举措

文章剖析了中国矿产资源勘查开发面临的战略机遇和风险挑战,从行业运行规律、宏观管理政策、资本市场发展等方面分析了资本支持矿产资源勘查存在的突出问题,在此基础上,提出了新形势下资本市场支持中国矿产资源勘查、助力国家资源安全的思路框架和路径举措：（1）统筹谋划,为社会资本支持矿产资源勘查开发提供战略指引。（2）改革创新,持续打造更加良好的矿业发展营商环境。（3）试点先行,建立完善以中国特色风险勘查资本市场为核心的多层次矿业资本市场。（4）银企联动,创新完善矿产资源勘查开发间接融资支持体系。（5）精心培育,弘扬企业家精神,加快建设风险勘查经营主体。（6）扩大开放,建立更高水平开放型勘查开采新体制。（7）综合保障,加快完善矿产资源勘查开发综合服务体系。     

Blind recognition algorithm for IRA codes in noisy environment

For noisy environment, the parity-check matrix of Irregular Repeat-Accumulate(IRA) codes is hard to reconstruct, moreover, the relationships of the large-scale complex interleaver are hard to recover. To solve the problems, a novel blind recognition algorithm is proposed. First, the code's length and synchronization are identified by applying rank criteria. Second, by implementing matrix transformation, the dual vectors of codewords are found. Then, by setting a threshold, the effective parity-check vectors of dual space are selected. According to the sparse characteristics of the IRA codes' parity-check matrix, the parity matrix can be reconstructed with effective parity-check vectors Finally, relationships of the interleaver can be recovered according to the characteristics of IRA codes. Simulation results show that the proposal can be used to estimate IRA codes encoding parameters and complete the blind recognition in the non-cooperative context with noise.     

INS／GPS紧耦合系统中的模糊自应SRUKF算法

为解决惯性导航系统(INS)与全球定位系统(GPS)紧耦合中标准无迹卡尔曼滤波(UKF)由于计算舍入误差使协方差矩阵负定和实际应用中由于量测噪声时变而严重影响滤波精度的问题,提出了基于模糊控制理论的自适应平方根无迹卡尔曼滤波(NASRUKF)算法.该算法在滤波过程中不是直接计算协方差矩阵,而是计算协方差矩阵的平方根,从而可以保证协方差矩阵的非负定性;然后根据实时得到的量测信息的实际方差与理论方差的比值,通过设计的模糊控制系统(FCS)实时调整量测噪声矩阵.实验表明:该算法对时变的噪声具有很好的自适应性,相比于UKF算法具有更高的精度并使得系统具有更高的稳定性和鲁棒性.     

基于线路阻抗短时调节的多直流连锁换相失败抑制方法

连锁换相失败是交直流混联电网的新型连锁故障形式之一。结合连锁关系在换相失败相关现象中的体现和参与环节,文中提出了一种在关键线路短时调节阻抗以降低耦合的抑制策略,重点讨论了策略的实施位置。在加权网络模型的基础上,基于直流分群界定了换相失败的连锁范围。在直流群内搜索对直流耦合关系影响较大的关键路径,并采用潮流介数比较各线路阻抗变化对系统运行状态的冲击,以避免在重要线路采取措施。针对不同的扰动,利用换相电压时间面积判断需要启动策略的直流群,从而实现有差别的连锁换相失败抑制。在修改的IEEE 39节点系统和某省市电网算例中,利用PSCAD/EMTDC开展仿真,结果均验证了关键线路阻抗短时调节策略抑制连锁换相失败的效率和有效性。