An NMOS output-capacitorless low-dropout regulator with dynamic-strength event-driven charge pump

In this paper,an NMOS output-capacitorless low-dropout regulator(OCL-LDO)featuring dual-loop regulation has been proposed,achieving fast transient response with low power consumption.An event-driven charge pump(CP)loop with the dynamic strength control(DSC),is proposed in this paper,which overcomes trade-offs inherent in conventional structures.The presented design addresses and resolves the large signal stability issue,which has been previously overlooked in the event-driven charge pump structure.This breakthrough allows for the full exploitation of the charge-pump structure's poten-tial,particularly in enhancing transient recovery.Moreover,a dynamic error amplifier is utilized to attain precise regulation of the steady-state output voltage,leading to favorable static characteristics.A prototype chip has been fabricated in 65 nm CMOS technology.The measurement results show that the proposed OCL-LDO achieves a 410 nA low quiescent current(IQ)and can recover within 30 ns under 200 mA/10 ns loading change.

山火灾害下电网安全形态的事件驱动模型与动态推演方法

近年来,山火灾害的发生频度与强度不断增加,对生态环境以及电网、算力网络等重要公共基础设施的危害不容忽视。为了分析算力网络与电力网络混合模式下,电网安全状态在山火灾害发展过程中的演进过程,首先,该文考虑自然环境、社会系统、算力网与电网间的耦合关系,建立山火灾害时空演化过程中电网与算力网络设备的故障模型;同时,分析电网、算力网和社会域可能的应灾措施;其次,从线路过载严重度、失负荷严重度、算力网络结构损失严重度以及碳平衡破坏度4个方面建立一套综合评估指标体系;然后,基于事件驱动模型提出山火灾害下电网安全形态的动态推演方法;最后,以某电网为算例进行仿真,结果表明,所提方法可动态刻画不同应灾方式下电网的安全形态,为提升电网运行人员面向突发山火的应急管理能力提供技术支撑。

基于事件驱动的无人机吊挂系统在线自适应轨迹规划

本文针对四旋翼无人机吊挂系统空运过程中负载摆角的非线性最优调节问题,提出了一种基于事件驱动的在线自适应轨迹规划策略.在事件驱动的自适应评价网框架下,利用神经网络的逼近学习能力得到吊挂负载摆动抑制的折现最优控制律.同时结合该控制律进一步规划四旋翼无人机的飞行轨迹,实现了对无人机位置的精确调节和吊挂负载摆动的快速抑制,并且显著降低了无人机机载处理器的计算负担.然后采用基于Lyapunov稳定性的分析方法,证明了神经网络输出权值估计误差一致最终有界,并证明了无人机位置跟踪误差和吊挂负载摆动运动的收敛.最后,通过飞行对比实验验证了所提出的轨迹规划策略的有效性.

基于深度强化学习的单线路公交动态驻站控制策略研究

公交运行中,车辆车头时距波动过大会导致公交系统出现串车等运行不稳定现象,针对该问题,本文提出一种基于深度强化学习的动态驻站控制策略,实现公交系统的稳定运行,以及避免出现串车问题。首先,构造线形公交系统,并确定车辆运行和乘客行为规则;然后,介绍基于深度强化学习建立动态控制方法,定义强化学习框架的各要素,并开发事件驱动的模拟器环境,训练和测试智能体;最后,利用仿真模拟对所提方法与基准方法进行大量的数值实验,选取不同评价指标进行对比分析,并实施敏感性分析。实验结果发现,本文方法实现了最稳定的车辆运行轨迹和最小的载客分散度;在车头时距变动上,比无控制策略、基于时刻表控制策略和基于车头时距控制策略分别降低61.90%、60.98%和37.98%;在平均等待时间上,分别降低28.36%、26.53%和23.61%。此外,所提方法在不同行驶时间变异性和车头时距情景下,具有很强的鲁棒性。

基于事件驱动离散时不变系统的无线传感器网络节能输出反馈控制机制

针对无线传感器网络节能输出控制过程中,受到网络系统时滞性的影响,导致节能控制输出与期望输出之间存在较大控制误差的问题,提出利用事件驱动离散时不变系统研究无线传感器网络节能输出反馈控制机制。根据无线传感器系统的组成结构,针对反馈关联大系统进行建模,通过对系统的时滞项进行状态约束,并结合模糊控制调节规则构造网络节能输出反馈控制函数,以此为基础,通过设计驱动条件和时不变系统的状态空间模型,完成网络节能输出反馈控制机制的研究。仿真对比实验结果表明,所提控制机制的控制输出与期望输出之间的控制相对误差更小,节能效果较好。

基于事件驱动的需求侧电池储能二次控制

为解决需求侧电力资源的灵活调控问题,提出一种基于事件驱动的分布式固定时间二次控制方案。该方案针对需求侧电池储能系统(BESSs),旨在调控其能级、功率和频率以实现对需求侧电网中频率和功率随机波动的补偿。考虑到需求侧仅有部分电池可以接收主电网信息,采用分布式控制算法调控每个电池的能级、有功功率和频率,实现了BESSs在固定时间内的能级平衡、有功功率共享和频率调节。此外,该方案引入了事件驱动机制,无需连续通信和频繁切换控制信号,从而显著降低了BESSs调控过程中的能量消耗。最后,仿真实验结果表明,提出的控制方案能够在较低的能量消耗下实现对需求侧电力资源的快速调控。

Event-driven process execution model for process virtual machine

Current orchestration and choreography process engines only serve with dedicate process languages.To solve these problems,an Event-driven Process Execution Model(EPEM) was developed.Formalization and mapping principles of the model were presented to guarantee the correctness and efficiency for process transformation.As a case study,the EPEM descriptions of Web Services Business Process Execution Language(WS-BPEL) were represented and a Process Virtual Machine(PVM)-OncePVM was implemented in compliance with the EPEM.

Optimal switching policy for performance enhancement of distributed parameter systems based on event-driven control

This paper aims to improve the performance of a class of distributed parameter systems for the optimal switching of actuators and controllers based on event-driven control. It is assumed that in the available multiple actuators, only one actuator can receive the control signal and be activated over an unfixed time interval, and the other actuators keep dormant. After incorporating a state observer into the event generator, the event-driven control loop and the minimum inter-event time are ultimately bounded. Based on the event-driven state feedback control, the time intervals of unfixed length can be obtained. The optimal switching policy is based on finite horizon linear quadratic optimal control at the beginning of each time subinterval. A simulation example demonstrate the effectiveness of the proposed policy.

Smart home architecture based on event-driven DPWS～+

With the advances of electronic information technology and computer network, especially the embedded technology, smart home is no more just a vision but being practical. The interoperability of heterogeneous devices and flexibility of devices＇ usage are two key problems that challenge the implementation of smart home. To deal with these two issues, this paper proposes an event-driven service oriented architecture using device profile for web services （DPWS）. DPWS inherits the advantages of the traditional web services in achieving interoperability without dependence on platform, while improving service discovery and security as well as being optimized for deploying on resource constrained devices. By providing a visual interface for describing a service workflow （SW）, the user can easily customize the actions of devices by services composition. Devices automatically cooperate without user＇s intervention to complete required business logic. This is achieved by fully exploiting the eventing capabilities on DPWS enabled home devices. Finally, a home theater scenario is given to illustrate the event driven mechanism for the SW in the proposed smart home framework.

An Approach to Event-Driven Software Testing

In this paper, the testing technology of event-driven software is focused. It is first analyzed the difference between event-driven software and the traditional procedure-oriented software, and based on the above analysis, the mechanism of event-driven and the effect of introduction of event-driven mechanism on software testing are unveiled. Then based on the characteristic of the event-driven software, the traditional software testing method is improved, and testing policy of event based test is presented in this paper.Moreover the event coverage criteria are defined and given here. At the same time the event executing rule are further uncovered, such as ordinal event, non-ordinal event, predecessor event and concurrent event etc., and also the methods of testing according to event executing rule are studied.

EVENT-DRIVEN SIMULATION OF INTEGRATE-AND-FIRE MODELS WITH SPIKE-FREQUENCY ADAPTATION

The evoked spike discharges of a neuron depend critically on the recent history of its electrical activity. A well-known example is the phenomenon of spike-frequency adaptation that is a commonly observed property of neurons. In this paper, using a leaky integrate-and-fire model that includes an adaptation current, we propose an event-driven strategy to simulate integrate-and-fire models with spike-frequency adaptation. Such approach is more precise than traditional clock-driven numerical integration approach because the timing of spikes is treated exactly. In experiments, using event-driven and clock-driven strategies we simulated the adaptation time course of single neuron and the random network with spike-timing dependent plasticity, the results indicate that （1） the temporal precision of spiking events impacts on neuronal dynamics of single as well as network in the different simulation strategies and （2） the simulation time in the event-driven simulation strategies. scales linearly with the total number of spiking events

Event-driven Dynamic and Intelligent Scheduling for Agile Manufacturing Based on Immune Mechanism and Expert System

Based on the biological immune concept, immune response mechanism and expert system, a dynamic and intelligent scheduling model toward the disturbance of the production such as machine fault,task insert and cancel etc. Is proposed. The antibody generation method based on the sequence constraints and the coding rule of antibody for the machining procedure is also presented. Using the heuristic antibody generation method based on the physiology immune mechanism, the validity of the scheduling optimization is improved, and based on the immune and expert system under the event-driven constraints, not only Job-shop scheduling problem with multi-objective can be solved, but also the disturbance of the production be handled rapidly. A case of the job-shop scheduling is studied and dynamic optimal solutions with multi-objective function for agile manufacturing are obtained in this paper. And the event-driven dynamic rescheduling result is compared with right-shift rescheduling and total rescheduling.

Event-driven timing system based on MRF cPCI hardware for HLS-II

Hefei Light Source(HLS)-II is a vacuum ultraviole(VUV) synchrotron light source. A major upgrade of the light source was finished at the end of 2014. The timing system was rebuilt using compact peripheral component interconnect(cPCI) event-driven hardware to meet synchronization requirements of the machine. In the new system, the c PCI event-driven products manufactured by the micro-research finland(MRF) Oy are employed to achieve about 100 output signals with different interfaces. Device supports and drivers developed for common Experimental Physics and Industrial Control System(EPICS) records are used to access the registers on the timing modules. Five c PCI-bus input/output controllers(IOCs) distributed in different areas of the light source host timing modules for various subsystems. The delay resolution of this system is 9.8 ns for most channels and 9 ps for the channels used for triggering the electron gun and the injection kickers. The measured rms jitter of the output signal is less than 27 ps. Using the bucket chooser, this system enables the HLS-II to fill the storage ring with any designated bunch pattern. Benefitting from this upgrade, brightness and performance of the light source are significantly improved.

基于前馈神经网络的分数阶事件触发控制器实现及应用研究

为了提高事件触发控制算法的普适性,降低现有控制算法对具体数学表达式的依赖,提出了一种基于前馈神经网络的事件触发控制方法,实现了更具一般化的分数阶事件触发控制器设计。该方法充分发挥前馈神经网络可以任意逼近平方可积函数的优势,对传统事件触发控制过程进行学习,有效解决了传统方法对具体数学模型的依赖问题,且可进一步降低事件触发控制的次数。另外,相较于传统的整数阶控制器,分数阶控制器拓宽了事件触发控制算法的实际应用范围。以具体应用为背景进行仿真分析,结果表明,该算法不但能够保持传统事件触发控制算法在节省控制资源方面的优势,而且在可移植性方面优于传统的事件触发控制算法。

电力电子混杂系统多时间尺度分析控制与应用(一):理论部分

文中对电力电子混杂系统多时间尺度分析控制与应用研究进行总结,分理论和应用上下两篇。上篇针对电力电子系统在实际应用中急需解决的提升变换能力和可靠性问题,对电力电子科学进行再认识,认为电力电子科学是一门基于功率半导体开关组合模式的电磁能量高效变换的科学。基于再认识框架,解析电力电子系统的多时间尺度混杂特征,进一步明确广义混杂系统的概念。针对广义混杂系统提出数值凸透镜分析解算方法,并予以论证。最后对该方法的发展进行展望。

基于离散状态事件驱动的电励磁同步电机系统建模解算方法

微电网系统可以实现分布式电源、储能和负载的灵活接入,目前受到了广泛关注。建模仿真方法是微电网系统分析和设计的基础工具。但是,由于微电网系统往往含有多种直流、交流电源以及大量的电力电子装置,对系统进行准确解算耗时很长,仿真速度慢已成为系统分析设计的瓶颈问题之一。离散状态事件驱动(DSED)方法能够针对大规模电力电子变换器进行高效的解算,具备在微电网系统仿真中应用的潜力,但是由于建模解算均基于线性状态方程,该方法目前无法求解电励磁同步电机这一微电网系统中的非线性基本元件。该文提出了基于DSED方法的电励磁同步电机建模解算方法——状态变量接口解耦解算方法,使得DSED方法能够对包含电励磁同步电机的非线性微电网系统进行高效解算,从而提高仿真效率。在微电网系统算例研究中,与商业仿真软件相比,基于该文所提方法可以在相同精度下提高解算速度40余倍,从而可以为包含非线性旋转设备的大规模微电网系统准确高效的分析和设计提供仿真工具。

受限通信下线性系统辨识的多敏感器分配研究

在网络化环境下对线性系统辨识中的多敏感器分配策略进行研究.为节约通信带宽,引入了二值量化机制;为解决数据传输时面临的冗余和通道拥堵问题,提出一种差分驱动的事件通信机制,并证明这种机制具有完全信息复原能力,同时给出其通信率.基于接收端的可用数据,构造各个有限脉冲响应系统的辨识算法,分析其收敛性能.进而,将通信资源受限下的多敏感器分配问题建模成带约束的优化问题,设计一种改进的遗传算法,给出最优方案.用数值例子验证理论结果的正确性和有效性.

DC-DC变换器事件触发仿真方法的参数选择与精度提升方法研究

电力电子变换器的高阶事件触发仿真方法缺乏对参数选择及仿真精度关系的研究。结合电力电子变换器的特点,基于事件触发的理论对电力电子变换器仿真过程进行分析,并提出一套基于事件触发算法实现的电力电子变换器仿真方法。针对多组变换器并联与考虑寄生参数瞬态过程2类变换器典型病态问题进行研究与测试,并归纳了算法阶数及量子大小的选取与仿真精度的非线性关系,总结得到不同问题下电力电子变换器事件触发仿真的参数选择及仿真精度优化方法。仿真结果验证了事件触发方法仿真的可行性和拓展性。

Discrete Event Simulation-Based Evaluation of a Single-Lane Synchronized Dual-Traffic Light Intersections

This research involved an exploratory evaluation of the dynamics of vehicular traffic on a road network across two traffic light-controlled junctions. The study uses the case study of a one-kilometer road system modelled on Anylogic version 8.8.4. Anylogic is a multi-paradigm simulation tool that supports three main simulation methodologies: discrete event simulation, agent-based modeling, and system dynamics modeling. The system is used to evaluate the implication of stochastic time-based vehicle variables on the general efficiency of road use. Road use efficiency as reflected in this model is based on the percentage of entry vehicles to exit the model within a one-hour simulation period. The study deduced that for the model under review, an increase in entry point time delay has a domineering influence on the efficiency of road use far beyond any other consideration. This study therefore presents a novel approach that leverages Discrete Events Simulation to facilitate efficient road management with a focus on optimum road use efficiency. The study also determined that the inclusion of appropriate random parameters to reflect road use activities at critical event points in a simulation can help in the effective representation of authentic traffic models. The Anylogic simulation software leverages the Classic DEVS and Parallel DEVS formalisms to achieve these objectives.

基于刚性检测的电力电子系统自适应仿真算法

高性能仿真工具对电力电子系统的设计分析具有重要的支撑作用,而考虑杂散参数对装置可靠性的影响、实施参数扫描来辅助优化设计是目前仿真应用的重要趋势。但是,考虑杂散参数后,系统的数学性质更加复杂多变,可能在刚性和非刚性之间发生转变,此时仅使用单一的前向或者后向算法都不能达到最优仿真效率,给仿真解算带来挑战。离散状态事件驱动(DSED)仿真框架可以实现对电力电子系统的准确高效解算,相较于商业仿真软件具有明显优势。但现有的DSED框架无法对系统的数学性质进行自动识别,应对上述复杂场景时仿真效率仍然有较大提升空间。为此,该文深入分析不同数值算法的效率最优场景,提出一种自适应的数值算法切换策略。该方法构造一种额外计算成本较小的判据,实现对系统刚性程度的自动检测以及不同数值积分算法的平滑切换,在仿真全过程中始终选择更优的积分方法,从而提升整体求解效率。所提策略应用于一台10 kV-2 MW四端口电力电子变压器的高频振荡现象分析中,在同等精度的前提下,仿真总体速度相较于原有DSED仿真框架提升了约4倍,进而验证了所提方法的准确性和有效性。