Electronic Load Controller for a Parallel Operated Isolated Asynchronous Generator Feeding Various Loads

This paper presents an investigation on a voltage and frequency controller (VFC), which functions as an improved elec-tronic load controller (IELC) for parallel operated isolated asynchronous generators (IAGs) in an autonomous hydro power generation system. In such type of hydro scheme whole generating system is isolated from the grid and supply electricity to the remote communities. The single point operation of these generators is realized, in such a manner that excitation capacitors, speeds, load, voltage, currents of generators remain constant under various operating conditions. The proposed controller consists of a 3-leg IGBT (Insulated Gate Bipolar Transistor) based voltage source converter (VSC) and a DC chopper with an auxiliary load at the DC bus of the VSC. The IELC controls the reactive and active powers simultaneously for controlling the voltage and frequency under varying consumer loads. Along with voltage and frequency control through single point operation of IAGs driven by uncontrolled pico hydro turbines, the IELC meets the power quality standard an IEEE-519 and it keeps the total harmonic distortion (THD) of the terminal voltage and currents within the limit of 5%. Here the proposed electrical system along with its controller is modeled in MATLAB along with Simulink and PSB (Power System Block-set) toolboxes. Simulation results are presented to demonstrate the capability of proposed controller for an isolated generating system.

Parallel Operation Characteristics Analysis of Sewage Source Heat Pump Units in Winter

Sewage source heat pump unit operates under partial load most of the time, and study on the law of coefficient of performance (COP) of the unit varying with load ratio can provide basis for the heat pump units running in high efficiency. A mathematical model determining COP, evaporation temperature and condensation temperature of a single unit was proposed. Under the condition of uniform load distribution, the model was established according to different ways of bearing partial load with the same type multi...

Modelling Reliability-adaptive Multi-system Operation

This contribution discusses the concept of Reliability-Adaptive Systems （RAS） to multi-system operation. A fleet of independently operating systems and a single maintenance unit axe considered. It is the objective in this paper to increase overall performance or workload respectively by avoiding delay due to busy maintenance units. This is achieved by concerted and coordinated derating of individual system performance, which increases reliability. Quantification is carried out by way of a convolution-based approach. The approach is tailored to fleets of ships, aeroplanes, spacecraft, and vehicles （trains, trams, buses, cars, trucks, etc.） - Finally, the effectiveness of derating is validated using different criteria. The RAS concept makes sense if average system output loss due to lowered performance level （yielding longer time to failure） is smaller than average loss due to waiting for maintenance in a non-adaptive case.

IOPS:computational graph optimization based on inter-operators parallel scheduling

To improve the inference efficiency of convolutional neural networks(CNN),the existing neural networks mainly adopt heuristic and dynamic programming algorithms to realize parallel scheduling among operators.Heuristic scheduling algorithms can generate local optima easily,while the dynamic programming algorithm has a long convergence time for complex structural models.This paper mainly studies the parallel scheduling between operators and proposes an inter-operator parallelism schedule(IOPS)scheduling algorithm that guarantees the minimum similar execution delay.Firstly,a graph partitioning algorithm based on the largest block is designed to split the neural network model into multiple subgraphs.Then,the operators that meet the conditions is replaced according to the defined operator replacement rules.Finally,the optimal scheduling method based on backtracking is used to schedule the computational graph.Network models such as Inception-v3,ResNet-50,and RandWire are selected for testing.The experimental results show that the algorithm designed in this paper can achieve a 1.6×speedup compared with the existing sequential execution methods.

Homing Strategy for a 4RRR Parallel Kinematic Machine

Returning home is the most important process of a parallel kinematic machine （PKM） with incremental encoders.Currently,most corresponding articles focus on the accuracy of homing process,and there lacks the investigation of the operation＇s safety.For a 4RRR PKM,all servoaxes would be independently driven to their zero positions at the same time based on the traditional homing mode,and that can bring serious interfere of the kinematic chains.This paper systemically investigates this 4RRR PKM＇s safety of homing process.A homing strategy usually contains three parts which are the home switches＇ locations,the platform＇s initial moving space,and each links＇ homing direction,and all of them can influence the safety of homing operation.For the purpose of evaluating and describing the safety of the homing strategy,some important parameters are introduced as follows：Safely homing ratio （SHR） is used to evaluate the probability of a machine＇s successfully returning home from an initial moving space;Synchronal rotational angle （SRA） is the four links＇ largest synchronal rotational angle with given directions from a given pose.Whether a machine can safely return home from a given pose can be judged by comparing the SRA with all four home switches＇ mounting angles.By meshing the initial moving space and checking the safeties of returning home from all the initial poses on the nodes,the SHR of this initial moving space can be calculate.For the sake of convenience,the platform＇s initial moving space should be as large as possible,and in this 4RRR PKM,a square zone in the center of the workspace with a giving initial rotation range is selected as the platform＇s initial moving space.The forward direction is selected as each link＇s homing direction according to custom,and the platform＇s initial rotational angle is selected as larger than 0° based on this 4RRR PKM＇s kinematic characteristics.The platform＇s initial moving space can be defined only by the side length of the initial moving square.By setting a probable searching step and calculating the SHR of the initial moving square,an optimal procedure of searching for the largest side length of the platform＇s initial moving square is proposed.The homing strategy proposed is based on a systemic research on the safety of homing process for PKM,and the two new indexes SHR and SRA can clearly describe the safety of homing operation.The homing operation based on this strategy is fast and safe,and the method can also be used in other PKMs with the situation of serious components＇ interference.

A Time-Space Optimal Parallel Sorting on a Hypercube

In this paper we discuss a parallel sorting algorithm on a hypercube. Its time complexity is O(n logn/p) +O(n). Here, P is the number of processors available and n, the amount of items to be sorted. Take the problem of time-space optimization into consideration, when P≤ O(log n), this algorithm is both timespace optimal and cost optimization. But this means only speedup is O(P) and it is not linear speedup. Therefore, we further discuss relevant parallel efficiency problems.

Parallel Techniques for Frame Synchronous Scrambler

In high speed transmission system such as SDH,parallel scrambling technique is re-quired.This paper presents a method of expanding matrix,which makes the traditional ma-trix method capable of realizing parallel scramblers of any size.A novel method called delayoperator method is also described in this paper.The 8-bit parallel scrambling circuitry ofSDH has been realized with the two methods.

煤矿智能快速掘进关键技术研究现状及展望

针对煤矿巷道掘进智能化建设情况,探讨了现阶段分别以连采机、掘锚一体机、全断面掘进系统、掘锚机为核心的四大类智能快速掘进成套装备发展现状,分析了四大类智能快掘装备与地质条件适用性,提出了实现煤矿智能化掘进需要解决的关键技术的问题,探讨了以信息传输与智能分析技术、智能感知技术、精确定位导航技术,自主定型定向截割技术、掘进机远程自主截割控制技术以及多级多工序智能协同控制技术为基础的智能化掘进实现途径;基于复杂地质条件下煤矿巷道掘进亟待解决的关键问题,提出了以掘进作业功能需求、掘进工艺要求为依据的系统化分析、模块化设计、功能优化组合的设计方法;研究了以虚控实、虚实结合的多级数字孪生构架,基于掘进巷道设备、环境、地质构造多维信息再现实现掘进机远程控制;提出了单机智能化、系统协同化、井下智控与地面远程监控相协同的控制方法。开发了新型的无重复碾压柔性超前支护技术、截割部多级伸缩截割技术、智能锚固机组多钻机并行作业等技术,研制了具有掘、支、锚、运、探多工序并行作业的新型快速掘进作业联合机组,提出了掘进机器人、超前支护机器人、锚固机器人、辅助运输机器人组柔性并行作业技术;提出了基于数据驱动的多机多工序协同控制行为规划决策方法。提出构建完整的煤矿井下跨系统全时空信息数字感知体系,构建集井下现场生产状态、掘进巷道空间信息、掘进装备状态、风险信息等多参量、多尺度、全时空特性的数据感知智能化监控平台,实现虚拟系统与实际掘进系统实时通信,通过数据驱动规划分析实现智能化、少人化掘进。

Decoupling Control Strategy for Single Phase SPWM Parallel Inverters

A deconpling control strategy of inverter parallel system is proposed based on the equivalent output impedance of single phase voltage source SPWM （sinusoidal pulse width modulation） inverter. The active power and reactive power are calculated in terms of output voltage and current of the inverter, and sent to the other inverters in the parallel system via controller area network （CAN） bus. By calculating and decoupling the circumfluence of the active power and reactive power, the inverters can share load current via the regulation of the reference-signal phase and amplitude. Experimental results of an 110V/2kVA inverter parallel system show the feasibility of the decoupling control strategy.

The Ricci Operator and Shape Operator of Real Hypersurfaces in a Non-Flat 2-Dimensional Complex Space Form

In this paper, we study a real hypersurface M in a non-at 2-dimensional complex space form M2(c) with η-parallel Ricci and shape operators. The characterizations of these real hypersurfaces are obtained.

Reliability Measure of a Relay Parallel System under Dependence Conditions

In a relay system of dependent components, the failure to close reliability measure is given as a Girsanov transform of the failure to open reliability measure.

基于改进虚拟同步发电机的构网型并联储能逆变器控制研究

针对构网型变换器预同步过程时电力系统频率电压稳定性低导致变换器并网失败的问题,提出一种基于改进线性自抗扰控制(LADRC)的构网型变换器预同步控制策略。首先,采用无锁相环(PLL)控制策略,通过相位偏差的反馈控制对网侧电压的相位和幅值进行快速同步追踪,可避免因PLL精度较低和响应速度慢而引起的电力系统稳定性降低的问题。在此基础上,在有功频率支路模块的角频率输出端引入LADRC,这可以有效解决预同步控制过程中变换器输出电压频率存在过冲的问题,从而确保构网型变换器预同步控制顺利进行最终实现成功并网。最后,在MATLAB/Simulink仿真平台中搭建基于改进LADRC的构网型变换器预同步控制模型并进行仿真验证,结果表明所提控制策略可以有效抑制系统频率震荡,并能够加速系统预同步进程,确保构网型变换器安全运行最终实现成功并网,仿真结果验证了所提方法的有效性。

面向易行的高速铁路智能平行调度系统构架及关键技术

针对我国高铁成网运行、管控列车数量和种类多、运营方式复杂等特点,以构建新一代智能动态调度系统为目标,探讨面向易行的高速铁路智能平行调度系统构架,从5个方面提炼出高速铁路智能平行调度系统的技术特征。总结目前高速铁路智能平行调度系统研究亟待解决的关键技术,介绍智能高铁平行调度一体化仿真原型系统研制及实现的部分场景功能。研究工作可为建立面向易行服务的,适应中国高铁“效率变革”“质量变革”需求的智能动态调度理论与技术体系,实现我国高速铁路智能调度系统和运输服务水平的升级发展提供参考。

长输原油管道并管混输运行方案研究

为实现长庆油田第三输油处姬惠线和油惠线不加降凝剂和减阻剂运行,实现节能降耗,通过建模仿真,开展并管混输运行模式研究。首先,建立管网仿真模型,利用现场近5年历史数据进行模型调试与校验,使模型精度达到95%以上,能够准确描述现场的水力和热力特征;然后,分析并管混输后的管道沿线水热力分布,结合各站场设备和管线情况,研究并管混输的可行性;接着,通过控制边界条件,模拟分析并管混输的输量和温度控制范围。最后,进行现场试验验证,对比分析理论与实际。结果表明:姬惠线通过姬马复线或新建联络线分输一部分原油至油惠线,均可实现姬惠线不加减阻剂、油惠线不加降凝剂运行;根据输油计划,最大可分输320 m^(3)/h,最小需分输182 m^(3)/h,冬季最低出站温度为57℃,与并管混输前相比,可降低33℃;经过现场试验与应用,研究结果与现场运行结果一致,实现了节能降耗。

Multisim仿真在发电机并联运行实验中的应用

利用Multisim仿真软件对船舶同步发电机并联的实际运行进行仿真;利用向量图分析待并发电机和运行发电机在电压不相等、初相位不相等和频率不相等三种不同条件下的并联运行,实验在条件偏差不大的情况下,可以使待并发电机牵入同步,而不会使线路和发电机有较大损坏。同时仿真显示了发电机和汇流排输出的电压、电流波形,验证了两台发电机之间冲击电流的存在和影响。使用Multisim仿真软件使电路中各种电压波形和冲击电流的大小显示变得更加直观、具体、生动。

基于分区操作系统的文件系统设计

研究涉及一种基于分区操作系统的文件系统设计方法,解决分区操作系统下文件的安全访问问题。分区操作系统资源、空间彼此隔离,文件系统用于管理分区数据,不能违背数据资源的隔离需求。为此,通过将文件系统部署在分区操作系统的分区;分区内和分区外采用两层分区安全访问控制;采用快照管理实现文件系统自身对并行文件访问需求,实现文件系统设计。通过测试表明,该方法能够在满足分区操作系统设计约束下,实现文件的安全访问。

基于RBF网络的足球点球轨迹预测

基于计算机视觉线性化轨迹预测模型在预测足球轨迹时,只能保证局部稳定性,存在轨迹跟踪局部稳定性问题和parking问题,提出了基于RBF网络的足球点球轨迹预测方法。建立足球运动状态传感信号解析模型,计算足球飞行地心重力、空气阻力、空气浮力、自身旋转时产生的马格努斯力的参数。建立足球飞行过程中的飞行受力解析模型,鉴于多参数模型复杂度过高,产生parking问题。利用RBF网络模型简化能力,建立飞行轨迹预测模型,结合并行滤波控制器,融合以上所有信息,在已知视觉概率计算的基础上,完成足球飞行轨迹的状态估计,并将其误差的协方差计算作为滤波控制的输入值,从而得到所有方差、均值的数据。最后获得足球在任意时刻的运动状态函数,完成预测。实验结果显示,该方法的足球运行轨迹吻合度为12 mm,且落点距离标准差最大仅为0.0412 m,因此,该预测方法能够得到精度更高的预测数据。

基于改进Noekeon算法的数据混合加密方案设计

针对传统医疗数据信息加密算法存在的安全性差、运行效率低以及缺乏系统性的缺点,文中基于改进Noekeon算法提出了一种医疗数据混合加密方案。该方案对于原Noekeon算法密钥长度短且需要耗费大量算力的问题,把改进Logistic混沌序列和切比雪夫混沌序列混合,进行同或逻辑操作,并将该序列作为模型初始密钥,进而增加算法密钥的随机性以提升安全性能。同时,通过构建Hadoop集群,对算法进行并行部署以提高运行效率。在实验测试中所提算法的加解密时间缩短了20%以上,在对比算法中为最优,且吞吐量与节点数量的变化趋势相同。在破译时间相同的情况下,算法所用的密钥最短,充分说明了算法具有较好的安全性和运行效率。

结合遗传算子的并行萤火虫算法及在车间调度中的应用

论文提出了一种结合遗传算子的并行萤火虫算法,该算法借鉴了萤火虫闪烁移动的思想,对两个种群进行同步并行迭代求解,以提升算法的求解速度和质量;在其中一个种群中引入多尺度协同变异算子,利用不同大小方差的自适应高斯变异机制使整个种群以尽量分散的变异尺度来对解空间进行更详尽的探索,从而使整个种群进行有效变异。函数优化结果表明了该算法的有效性,该算法用于求解以最小化最大完工时间为优化目标的流水车间调度问题,实验结果表明,较传统的单一算法而言,结合遗传算子的并行萤火虫算法在求解车间调度问题方面具有更好的性能。

一种新型3-RRPU并联机构的运动学及鲁棒控制研究

针对现有的三平移并联机构大多正解不唯一、较难实现精确稳定运动控制的问题,提出了一种新的3-RRPU型三平移并联机构,同时研究了机构的运动学、动力学及轨迹跟踪控制方法。首先,运用螺旋理论分析了该机构三平移的原理,进行了驱动输入的选取与论证,对机构平台奇异性、驱动奇异性和支链奇异性进行了分析;其次,运用运动学理论建立了运动学模型,推导了位置正、逆解析解;再次,运用拉格朗日动力学理论建立了机构操作空间的刚体动力学模型;最后,提出了一种基于非线性反馈解耦的自适应滑模轨迹跟踪控制方法,以证明其控制稳定性,并基于动力学模型对空间轨迹跟踪精度和控制力矩进行了仿真分析。研究结果表明:3-RRPU并联机构的位置正解在一般位形下具有唯一性,机构的平台奇异位形和驱动奇异位形少且无支链奇异。该轨迹控制方法可使机构在载荷20 kg、速度0.18 m/s、加速度0.12 m/s 2下,实现0.002 m以内的高精度复杂轨迹跟踪;基于Sigmoid函数的轨迹控制方法还能有效削弱控制力矩的抖振,为实现工业领域高速、高精度、高性能的三平移运动提供了新方法。