两种发电机励磁系统远程监测与控制方法研究

同步发电机励磁控制系统的监控是保证发电机良好运行的重要部分,远程监控技术能够有效的对发电机励磁控制系统进行监控,并为励磁控制系统维护人员提供方便.因此针对同步发电机励磁控制系统的典型监测和控制功能,给出了两种发电机励磁系统远程监控方法,首先基于AJAX技术,给出了一种基于web的励磁控制系统远程监测方法,所设计的监测系统能够在局域网或internet网络环境下,使用计算机或智能手机的浏览器进行励磁控制系统的监测,实际测试表明该方法是可行的.之后,为能实现励磁控制系统的远程实时控制,并解决internet网络环境下实时数据传输不稳定的情况,给出了一种基于TCP/IP和VPN技术的励磁控制系统远程监控方法,测试表明该方法能够实现励磁控制系统的实时监测和控制.     

兆瓦级直驱式风力发电机组控制系统设计

为了降低系统控制难度、提高机组转化效率,提出了一种以复合励磁同步发电机作为发电机的兆瓦级直驱式复合励磁同步风力发电系统,该系统由不可控二极管 直流环节 并联SPWM逆变器组成的交/直/交变流器将风能转化为电能送入电网.该机组控制系统由机组主控制器、复合励磁控制器、逆变器控制单元、变桨距机构、偏航机构等构成.对机组控制系统中各个部件的功能和结构进行了分析和设计,并通过Profibus现场总线将这些部件构成了一个集散控制系统.     

同步发电机自适应最优励磁控制

本文针对线性最优励磁控制的缺陷,将自适应控制理论与最优控制理论相结合,通过多变量参数辨识、最优反馈系数计算和控制算法运算三个环节,实现了同步发电机励磁的自适应最优控制.数字仿真实验结果表明,该励磁控制系统能够自动跟踪系统运行工作状况,在线辨识不断变化的系统参数,使控制作用始终处于最优状态,从而改善了控制系统的动态品质,提高了系统的暂态稳定性.     

同步发电机励磁控制器设计

针对基于开环迭代学习控制的同步发电机励磁控制器存在稳定性差、易受干扰影响、不能完全跟踪期望轨迹的问题,设计了一种基于开闭环PID迭代学习控制与电力系统稳定器结合的同步发电机励磁控制器;在开环迭代学习控制的基础上,引入闭环反馈控制,将上一次的输入和输出误差及当前的输出误差作为当前的控制输入,从而构成开闭环PID型迭代学习控制;同时,利用电力系统稳定器提供的附加正阻尼信号来改善同步发电机励磁控制系统的电压稳定性和功角稳定性。仿真结果表明,该励磁控制器具有较强的鲁棒性,提高了系统稳定性。     

同步发电机励磁控制系统的改造

分析了同步发电机交流励磁系统中存在的缺点,提出应用斩波技术对其进行改造和优化。分析了斩波电路原理及模型,根据同步发电机励磁控制系统数学模型,设计出相应的调节器,组建了闭环自动控制系统,运行结果证明了该方案的可行性,为励磁改造和优化提供了一定的理论指导。     

基于交流跟踪的同步发电机最优励磁控制技术研究

针对同步发电机采用传统PID控制不能很好地满足电力系统对抑制振荡、提高动态稳定极限等方面要求的问题,提出了一种基于交流跟踪的同步发电机最优励磁控制方法;给出了基于拉格朗日方法的同步发电机励磁系统偏差线性化模型,分析了最优励磁控制量的确定方法,建立了基于最优励磁控制方法的同步发电机系统仿真模型。仿真结果表明,与传统PID控制方法相比,最优励磁控制方法能够实时控制同步发电机励磁系统,确保了同步发电机的输出稳定性。     

基于PCC的双馈风力发电系统励磁控制器的研究

在分析现有变速恒频双馈风力发电励磁控制系统的基础上,提出了一种基于PCC的双馈励磁控制器的实现方案;以PCC可编程控制器作为励磁控制器的核心控制器,简化了系统硬件结构,提岛了系统稳定性和系统的反应速度;通过搭建仿真实验系统,原动机采用15kW交流异步电机来模拟风机,双馈发电机采用绕线式感应电机,以整流模块和逆变模块组合为双向变流器,加入PCC励磁控制器,进行起励、故障切除等的仿真实验,检测了在发电机转速发生变化和跨越同步转速的情况下励磁控制器的工作情况和效果,实验结果证明,该方案完全满足实际要求.     

基于SIMULINK的迭代学习励磁控制器的设计

该文将迭代学习控制理论应用于同步发电机励磁控制器的设计中,采用混合型迭代学习控制律对其进行控制。在两机系统中使用SIMULINK软件对励磁控制系统的稳定性和动态性能等进行分析,设计出满足系统要求的励磁控制器。仿真结果表明该方法的有效性和一般性,改善了控制性能,具有很强的维持机端电压的能力,与常规的PID控制器相比较,收敛速度得到很大提高,有利于提高电力系统稳定性。     

同步发电机非线性励磁系统模糊滑模控制研究

同步发电机励磁系统是一个具有时变性、多时滞环节以及高度非线性的复杂控制系统,其运行是否可靠直接影响到整个电力系统运行的稳定性。因此,对发电机励磁系统进行有效的控制至关重要。针对发电机励磁系统运行时的动静态性能要求,提出一种模糊滑模复合控制策略。滑模控制以其对干扰和摄动的不变性等优点,可以有效地解决发电机励磁控制的鲁棒性问题,并可保证系统的全局渐进稳定性;同时,采用指数趋近律的方法,可以使系统在趋近运动段快速到达切换面。模糊控制能够模仿人的经验对复杂对象进行专家控制。将其应用于励磁控制中,可以提供更佳的阻尼效果,减少滑模运动产生的抖振,提高扰动下的动态品质。为验证算法效果,利用MATLAB进行仿真。仿真结果表明,与单纯的滑模控制相比,该控制算法可加快发电机励磁系统的响应速度,增强鲁棒性,有效地提高了电力系统的稳定性。     

船舶无刷发电机励磁控制系统的数字仿真

在船舶发电机性能优化控制问题的研究中,无刷发电机励磁控制系统能改善船舶电力系统的电压稳定性.由于输电线路受负载扰动,影响电网的稳定性.为了提高电网性能,在各单元数学模型的基础上进行分块数字建模,采用船舶常用的相复励与PID结合的控制策略,用控制器为核心的闭环励磁控制模型建立仿真系统.根据实际系统设置参数,仿真扰动和故障工况.仿真结果反映了船舶无刷发电机励磁控制系统的动态性能和故障特征,证明了仿真模型和方法的正确性,可用于船舶励磁控制系统的设计调试和性能评估.     

Analysis and assessment of a knowledge based smart city architecture providing service APIs

The main technical issues regarding smart city solutions are related to data gathering, aggregation, reasoning, data analytics, access, and service delivering via Smart City APIs (Application Program Interfaces). Different kinds of Smart City APIs enable smart city services and applications, while their effectiveness depends on the architectural solutions to pass from data to services for city users and operators, exploiting data analytics, and presenting services via APIs.Therefore, there is a strong activity on defining smart city architectures to cope with this complexity, putting in place a significant range of different kinds of services and processes. In this paper, the work performed in the context of Sii-Mobility smart city project on defining a smart city architecture addressing a wide range of processes and data is presented. To this end, comparisons of the state of the art solutions of smart city architectures for data aggregation and for Smart City API are presented by putting in evidence the usage semantic ontologies and knowledge base in the data aggregation in the production of smart services. The solution proposed aggregate and re-conciliate data (open and private, static and real time) by using reasoning/smart algorithms for enabling sophisticated service delivering via Smart City API. The work presented has been developed in the context of the Sii-Mobility national smart city project on mobility and transport integrated with smart city services with the aim of reaching a more sustainable mobility and transport systems. Sii-Mobility is grounded on Km4City ontology and tools for smart city data aggregation, analytics support and service production exploiting smart city API. To this end, Sii-Mobility/Km4City APIs have been compared to the state of the art solutions. Moreover, the proposed architecture has been assessed in terms of performance, computational and network costs in terms of measures that can be easily performed on private cloud on premise. The computational costs and workloads of the data ingestion and data analytics processes have been assessed to identify suitable measures to estimate needed resources. Finally, the API consumption related data in the recent period are presented.     

小区智能化发展及技术分析

通过对小区智能化的概念及建设标准进行剖析,来探究建筑智能化的发展趋势以及技术实现模式。即未来的发展方向应以数字化、网络化为手段,把各个智能化子系统集成到统一的软件集成平台上来,实现子系统的互联互通,同时以此来加强物业管理,建立小区增值服务平台,全面提升智能小区的智能化程度,并把智能小区提升到智能社区的概念上来。     

Control for smart systems: Challenges and trends in smart cities

There have been tremendous developments in theories and technologies in control for smart systems. In this paper we review applications to various systems that are crucial for the future of smart cities, for example enterprise and manufacturing systems, transportation systems, energy systems, and data centres. Beyond discussing the existing technological trends and the methodological approaches developed so far for managing and controlling such systems, we also provide visions on the future challenges for these systems in these various aspects.     

智慧档案馆研究综述

我国智慧档案馆研究具有起步既火；数量有限，热点已成；学科交叉性与理论性明显；高产作者与核心研究机构突出，合作研究普遍的特点。研究内容主要集中在未来档案馆发展的趋势，智慧档案馆的基础体系架构、智慧档案馆建设的思路和档案管理范式转换四个方面。     

上下文感知在Smart Home系统中的应用

针对Smart Home环境的复杂性问题,提出了利用上下文技术来提高其智能化的方法.阐述了在普适环境下的上下文在智能家居环境中的重要性,介绍了上下文和上下文感知计算的定义,采用了基元组的形式定义了不同的上下文信息;提出了基于上下文感知的Smart Home系统模型,并对其功能进行了详细的描述;在Smart Home系统中,应用该模型对具体的上下文实例进行了描述和推理.     

基于Smart Core的无人机故障诊断系统设技与实现

设计了基于SmartCore的无人机故障诊断系统,给出了系统的硬件及软件组成,可以有效实现系统的故障诊断.该系统可方便实现对无人机现场故障的检测和诊断,具有良好的使用性能和价值,具有良好的通用性和扩展性.     

Midgar: Detection of people through computer vision in the Internet of Things scenarios to improve the security in Smart Cities,Smart Towns,and Smart Homes

Could we use Computer Vision in the Internet of Things for using pictures as sensors? This is the principal hypothesis that we want to resolve. Currently, in order to create safety areas, cities, or homes, people use IP cameras. Nevertheless, this system needs people who watch the camera images, watch the recording after something occurred, or watch when the camera notifies them of any movement. These are the disadvantages. Furthermore, there are many Smart Cities and Smart Homes around the world. This is why we thought of using the idea of the Internet of Things to add a way of automating the use of IP cameras. In our case, we propose the analysis of pictures through Computer Vision to detect people in the analysed pictures. With this analysis, we are able to obtain if these pictures contain people and handle the pictures as if they were sensors with two possible states. Notwithstanding, Computer Vision is a very complicated field. This is why we needed a second hypothesis: Could we work with Computer Vision in the Internet of Things with a good accuracy to automate or semi-automate this kind of events? The demonstration of these hypotheses required a testing over our Computer Vision module to check the possibilities that we have to use this module in a possible real environment with a good accuracy. Our proposal, as a possible solution, is the analysis of entire sequence instead of isolated pictures for using pictures as sensors in the Internet of Things.     

基于SMBus的便携式设备智能电池系统的实现

介绍了一种基于SMBus总线的独立管理的智能电池系统，智能电池系统定义了一些通信机制，使得电池能与充电器以及其它设备沟通，它能对电池的充放电电流、电压、温度、容量等重要参数进行监视和控制。     

微系统技术（连载五）──智能传感器

简要介绍了智能传感器的定义、功能和应用实例．     

Special section: Smart water systems

The purpose of this Special Section is to provide an account of the state-of-the-art and perspectives for future research in the design and analysis of monitoring and control methods for smart water systems. This paper provides an overview of the six articles in the special section. Specifically, the special section consists of four review articles, as well as one vision and one tutorial article. These articles provide a review of leakage detection and isolation, a review of contamination event diagnosis, a review of state- space modelling of multiple reacting species in drinking water systems, a review of the application of model predictive control in Water Systems, a vision of optimizing pressure management and self-cleaning, as well as a tutorial for leakage detection and mitigation of potential contamination risk.