基于指令回收的低功耗循环分支折合技术

在分析循环分支特性的基础上,提出一种基于过期指令回收的高性能低功耗循环分支折合方法.该方法通过复用指令缓冲区硬件资源实现指令回收区.在循环分支折合过程中,循环体指令直接从回收区送入流水线,降低了分支延时,消除了指令高速缓存访问.通过自适应调整回收窗口宽度,可使有限的指令缓冲区硬件资源同时满足指令缓冲与指令回收的双重需求.当投机折合进入预测盲区时关闭分支预测存储器,从而降低投机折合的动态功耗.实验数据表明,与传统循环分支折合技术相比,应用本方法的嵌入式处理器总体性能平均提升5.03%,取指单元动态功耗下降22.10%.     

基于MATLAB的主汽温系统中控制策略分析

主蒸汽温度是电厂机组运行过程当中需要监视及控制的重要参数之一。该文应用MATLAB作为可视化建模工具,把理论研究和工程上的实现有机结合在一起。针对控制对象的大迟延,分别采用串级和史密斯预估控制方案。在对比不同的控制策略的基础上,提出了新的控制方案。考虑增加副环使干扰能在影响主参数之前得以克服,在纯迟延现象严重的惰性区局部使用预估器预先估计出过程在基本扰动下的动态特性,使调节器提前动作,从而明显地减少超调量,二者结合起来应用,使电厂的主汽温控制达到了良好的效果。     

考虑不可测T接负荷的配电网虚拟三端电流差动保护

采用电流差动保护可解决高比例分布式电源接入配电网引起的馈线保护问题。然而当馈线内存在不可测T接负荷分支时,差动保护只能利用被保护线路两端的数据构造判据,性能受到影响。为解决该问题,首先分析了不可测T接负荷对传统两端电流差动保护的影响。在此基础上,提出了一种虚拟三端电流差动保护方法。该方法将被保护线路内部的不可测T接分支等效为一个虚拟支路,利用故障前后线路两端的电压、电流数据估算该虚拟支路的电流相量,并与馈线两端的电流相量一起构成三端电流差动保护判据。仿真结果表明,该方法在无需T接负荷测量数据的前提下能够满足配电网在不同场景下的保护需求,相比传统的电流差动保护具有更高的可靠性与灵敏性。     

Delay-dependent guaranteed-cost control based on combination of Smith predictor and equivalent-input-disturbance approach

This paper presents a new system configuration and a design method to improve control performance for a system with an input time delay and disturbances. The equivalent-input-disturbance approach is extended to handle a time-delay system. It is combined with the Smith predictor to reject disturbances. A delay-dependent stability condition is devised in terms of a matrix inequality by using the free-weighting matrix approach. The gain of the observer is designed by applying the cone complementary linearization method to the matrix inequality. A numerical example demonstrates the validity of the method.     

Solid weak BCC-algebras

We characterize weak BCC-algebras in which the identity (xy)z=(xz)y is satisfied only in the case when elements x and y belong to the same branch.     

基于耦合线的高隔离度三频分支线耦合器

本文提出了一种应用于无线功率传输系统中的新型三频分支线耦合器.通过在传统分支线耦合器的基础上加载1/4波长短路耦合线来实现3个频段的通带.每个通带之间均保持高的隔离度,且通过改变加载耦合线的奇偶模阻抗值,耦合器通带的中心频率可以在较宽频带范围内调节.对一个工作在0.69/1.0/1.4 GHz的平面三频耦合器模型进行了设计与加工,测试结果与理论期望值吻合较好.     

Data‐driven bounded‐error fault detection

In this paper, a new data‐driven fault‐detection method is proposed. This method is based on a new nonparametric system identification approach, which constitutes the principal contribution to this work. The fault‐detection method is a parametric model‐free approach that can be applied to nonlinear systems that work at various operating points. Not only can the fault‐detection process be applied to the steady state of each operating point, but it can also be applied to the transient state resulting from a change in the operating point. In order to detect faults, the proposed method uses an interval predictor based on bounded‐error techniques. The utilization of techniques based on bounded error enables system uncertainties to be included in an explicit way. This in turn leads to the possibility of obtaining interval predictions of the behaviour of the system, which include information on the reliability of the prediction itself. In order to show the effectiveness of the fault‐detection method, two examples are presented: in the form of a simulated process (counter‐flow shell‐and‐tube heat‐exchanger system) and an example of a real application (two‐tanks system). A comparison with two fault‐detection methods has also been included. Copyright © 2013 John Wiley & Sons, Ltd.     

基于变量决策层的启发式变量选择策略

启发式分支策略是SAT求解器中不可或缺的一部分，直接影响求解器的效率。早期的启发式分支决策需要遍历整个子句数据库，效率比较低。随着独立变量状态衰减和（Variable State Independent Decaying Sum, VSIDS）分支策略的出现，SAT求解器的效率有所提高，但VSIDS策略以及它的延伸策略中变量的增量都只是与变量的冲突次数有关，没有考虑变量的决策层在分支策略中的影响。因此当发生冲突时，如果与冲突有关的变量的得分相同而决策层不同时，对于变量的选择就具有随机性。基于此，本文在阐述变量的决策层的重要性之后在VSIDS策略的基础上，提出一种基于变量决策层的启发式变量选择策略--HSVDL策略。然后通过实例显示HSVDL策略在变量决策阶段选择决策层低的变量的可能性比选择决策层高的变量的可能性要大，而且得分比较小，减少了内存的占用。最后通过实验表明HSVDL策略能够求解出更多的实例，求解器的效率也有所提高，说明该策略有一定的优势。     

Geographically distributed real-time digital simulations using linear prediction

Real-time (RT) simulator is a powerful tool for analyzing operational and control algorithms in electric power systems engineering. For understanding the dynamic and transient behavior of a power systems, significant RT computation capabilities are essential. A single unit of RT simulator has limited simulation capabilities. The most common way of augmenting simulation capability is using a bank of locally connected RT simulators. However, creating a large-sized bank of RT simulators involves significant financial investments and hence may not be feasible at all research facilities. Power and energy systems research facilities that use RT simulators are at diverse physical locations. In addition to RT simulators, research facilities around the world house an array of facilities with unique power, energy, and control systems for innovative research. To leverage these unique research facilities, geographically distributed RT simulation based on Wide Area Network (WAN) is required. Typical RT simulators perform simulations with time-steps in the order of milliseconds to microseconds, whereas data latency for communication on WAN may be as high as a few hundred milliseconds. Such communication latency between RT simulators may lead to inaccuracies and instabilities in geographically distributed RT simulations. In this paper, the effect of communication latency on geographically distributed RT simulation is discussed and analyzed. In order to reduce the effect of the communication latency, a Real-Time Predictor (RTP), based on linear curve fitting is developed and integrated into the distributed RT simulation environment. Two geographically distributed digital RT simulators are used to perform dynamic simulations of an electric power system with a fixed communication latency and the predictor. Empirical results demonstrate the effects of communication latency on the simulation and the performance of the RTP to improve the accuracy of simulations.     

A fast branch,bound and remember algorithm for disassembly line balancing problem

In recent years, the interests of disassembly line have increased owing to economic reasons and the increase of environmental awareness. Effective line can provide many advantages in terms of economic aspect and it facilitates competition the companies with others. This study contributes to the relevant literature by a branch, bound and remember algorithm for disassembly line balancing problem with AND/OR precedence. The proposed exact solution method employs the memory-based dominance rule to eliminate the reduplicated sub-problems by storing all the searched sub-problems and to utilise cyclic best-first search strategy to obtain high-quality complete solutions fast. In this paper, minimising the number of stations is taken as the performance measure. The proposed methodology is tested on a set of 260 instances and compared with the mathematical model using CPLEX solver and five well-known metaheuristics. Computational results show that the proposed method is capable of obtaining the optimal solutions for all the tested instances with less than 0.1?seconds on average. Additionally, comparative study demonstrates that the proposed method is the state-of-the-art algorithm and outperforms the CPLEX solver and metaheuristics in terms of both solution quality and search speed aspects.