直流微电网集群多状态运行分级协调控制策略

为了对直流微电网集群进行协调控制并对其进行能量管理,提出一种多状态运行分级协调控制策略.该策略采用子微电网设备级控制与集群系统级控制的两级分级方式,在保证本微电网正常运行前提下利用分布式一致性算法控制集群微电网母线电压,并利用直流区域控制误差控制方法控制集群联络线功率.集群运行根据网内储能单元荷电状态值划分为多个运行状态,并针对不同运行状态制定不同的联络线功率控制策略,使集群内各子微电网在不同运行状态下的运行更加合理.最后,通过MATLAB/Simulink软件对所提控制策略在多工况下进行验证,结果表明采用所提控制策略时系统电压水平可以提高至额定电压附近,同时可以根据联络线功率控制策略在多个运行工况下切换并实现控制目标.     

Drawing of square twisted wire

The shape of the deformation zone during drawing of square twisted wires is described in this paper. The condition of the stable deformation of the wire is formulated. This condition is satisfied by the constant value of the pitch of the helical surface of the die. The work focuses on the investigation of the influence of the die cone angle on the drawing parameters, in particular on the drawing stress.     

分子动力学模拟铜纳米团簇的结构稳定性

利用分子动力学研究了原子数为13～1 055的铜纳米团簇.结果表明:随着尺寸的减小,铜纳米团簇的结构发生晶体→非晶→晶体→非晶→晶体→非晶的转变.团簇平均原子结合能随着尺寸的减小而减小,且只依赖于短程有序,这说明了团簇平均原子结合能一般不能够作为非晶与密堆结构晶体转变的判据.平均原子间距不但依赖于团簇的尺寸,且对团簇结构的变化敏感,可以作为非晶与密堆结构晶体转变的一个判据.对偶分布函数的研究表明,大尺寸团簇的内部和表层原子结构都表现出晶格收缩效应,且不同于相应块体晶格,这表明了目前文献中关于团簇的块体加表面模型与壳核模型都有待改进.     

棒材轧制轧件出口断面形状预测及平均轧辊半径的新计算模型

对圆—椭圆—圆孔型轧制合金钢,提出了接触边界临界点的概念,建立了出口断面形状预测模型,推导出临界点的解和新的等效接触断面面积公式,给出了计算平均轧辊半径的新模型。为验证新模型,完成了棒材轧制试验,并且利用刚塑性有限元法对轧制过程进行了模拟。将不同模型得到的理论结果与实验值和模拟值作比较,证明新模型具有很高的精度,因此可以用于精轧孔型设计和轧制工艺参数的设定。     

工件同轴度误差的视觉检测系统

建立了一种基于虚拟仪器技术的工件同轴度误差检测系统.该系统选用蓝色平行光作为背光源,经过中值滤波、图像二值化、模板匹配、边缘提取等图像处理技术,采用最小二乘法拟合轴心线来计算工件的同轴度误差,同时提出了自动迭代最优化搜索阈值法和环境变化实时监控方法.实验结果表明,此系统检测结果准确可靠,具有良好的实用价值.     

用WKB方法讨论透射系数和反射系数

本文用WKB近似方法讨论了势垒贯穿问题系数T和其透射反射系数R之和恒等为1,即满足恒等式T R=1,并进一步得出这一结论不仅适用于一般势垒贯穿而且在方势垒贯穿中也成立,最后讨论了势垒贯穿的几种极限情况,例如,h→0(即经典情况),势垒高度v→∞、v→0,势垒宽度a→∞、a→0,等几种特殊情况下的T及R的取值问题。     

RBF-CSR方法及其应用于裂解装置建模的研究

RBF－CSR是在分析RBF－PLS的基础上提出的新方法。它保留了RBF－PLS的优点：采用神经网络的结构，又用数学方法直接求解，免去了ANN冗长的训练过程和其它诸多欠缺。RBF－CSR方法可以在更宽广的空间内寻找最优的网络参数，它所建立的模型具有很强的预报精度和良好的稳定性，又有简洁的解析形式，便于优化等进一步的计算和处理。该方法已成功地应用于裂解装置的建模。     

Adaptive model predictive inventory controller for multiproduct warehouse system

An inventory control system has been developed for a distribution system consisting of a single multiproduct warehouse serving a set of customers and purchasing products from multiple vendors. Purchase orders requesting multiple products are delivered to the warehouse in a process referred to as joint replenishment. The receipt of customer orders by the warehouse proceeds in order intervals and in order quantities that are subject to random fluctuations. The objective of warehouse operation is to minimize the total cost while maintaining inventory levels within the warehouse capacity by adjusting the purchase order intervals and quantities. An adaptive model predictive control algorithm is developed using a periodic square wave model to represent the material flows. The adaptive concept incorporates a stabilized minimum variance control-type input calculation coupled with input/output stream parameter predictions. The boundedness of the control output under the suggested algorithm is mathematically proven under the assumption that disturbances in the orders are bounded. The effectiveness of the scheme was demonstrated using simulations.     

聚氯乙烯塑料中多种邻苯二甲酸酯类增塑剂的同时测定

为了在线监控聚氯乙烯塑料中增塑剂的含量,利用傅立叶变换红外光谱法-ATR技术测定样品的红外光谱,采用偏最小二乘法对所测红外光谱进行分析,建立了一种无损快速分析方法,定量地测定聚氯乙烯塑料中多种邻苯二甲酸酯类增塑剂的含量。该方法测量精密度的变异系数小于6%,测量准确度的变异系数小于3%。该方法不受基体的干扰,简单快速,适合于流水线的质量控制。     

线性多智能体系统一致性问题的部分稳定性方法（英文）

A linear transformation is proposed to deal with the consensus problem of high-order linear multi-agent systems(LMASs).In virtue of the linear transformation, the consensus problem is equivalently translated into a partial stability problem. We discuss three issues of the LMASs under a generalized linear protocol: 1) to find criteria of consensus convergence; 2) to calculate consensus function; 3) to design gain matrices in the linear consensus protocol. Precisely, we provide a necessary and sufficient criterion of consensus convergence in terms of Hurwitz stability of a matrix and give an analytical expression of the consensus function. In addition, we set up a relation between the gain matrices in the protocol and the convergence time and consensus accuracy of the agents, and then design the gain matrices with respect to a pre-specified convergence time and a required consensus accuracy.