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2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)最新文献

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Research on Adaptive Reclosing of Distribution Network based on Signal Injection 基于信号注入的配电网自适应重合闸研究
Xiaomeng Wu, Tao Zhang
Without discriminating the nature of faults, the traditional three-phase reclosing performs after set time, so the failure of reclosing will result in a secondary impact on the system. In order to avoid the damage of secondary impact caused by reclosing onto a permanent fault and increase the successful rate of reclosing, the application of adaptive reclosing technology for transmission lines has been relatively common, and the development of adaptive reclosing technology for distribution lines has been relatively slow. The adaptive reclosing technology of distribution network based on signal injection is studied in this paper. Compared with the fault nature identification method based on the electrical characteristics of the fault itself, the scheme of adaptive reclosing technology based on additional injection of trial signal in the primary system has the advantage of not being limited by the structure and parameter characteristics of the distribution line itself, which can fundamentally overcome the difficulties faced by the fault property identification method based on the electrical characteristics or arc characteristics of the line fault recovery stage.
传统三相重合闸不区分故障性质,在设定时间后才进行,重合闸失效会对系统产生二次影响。为了避免对永久故障重合闸造成二次冲击的破坏,提高重合闸的成功率,输电线路自适应重合闸技术的应用已经比较普遍,配电线路自适应重合闸技术的发展相对缓慢。研究了基于信号注入的配电网自适应重合闸技术。与基于故障本身电气特性的故障性质识别方法相比,基于在一次系统中附加注入试验信号的自适应重合闸技术方案具有不受配电线路本身结构和参数特性限制的优点;这可以从根本上克服基于线路故障恢复阶段的电气特性或电弧特性的故障属性识别方法所面临的困难。
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引用次数: 0
An On-demand Routing Update Acquisition in Named-data Link State Routing Protocol 命名数据链路状态路由协议中按需路由更新获取
Mengze Yuan, Yu Zhang, Yuanchen Hao
Advantages in multi-path forwarding, in-network caching, as well as information centric architecture, have made Named Data Networking (NDN) a great supporter for mobile scenarios, where rapid link changes need to be propagated timely to other nodes to maintain a consistent view of the topology. How to reduce routing overhead and keep convergence time within an acceptable range have become an urgent issue. In this paper, we propose routing update acquisition delay based on the location of topology change. Node centrality is used to set different timers for fetching Link State Advertisement (LSA), so as to reduce large overhead caused by simultaneously broadcasting LSA Interest. Simulation shows that routing overhead reduction is more obvious when link changes rapidly. At the same time, since the delayed LSA Interest can return data directly from in-network cache, convergence time is also kept within a small range.
在多路径转发、网络内缓存以及以信息为中心的架构方面的优势,使命名数据网络(NDN)成为移动场景的重要支持者,在移动场景中,快速的链路更改需要及时传播到其他节点,以保持拓扑视图的一致性。如何减少路由开销并使收敛时间保持在可接受的范围内已成为一个迫切需要解决的问题。本文提出了基于拓扑变化位置的路由更新获取延迟。节点中心性是为获取LSA设置不同的定时器,以减少同时广播LSA兴趣带来的巨大开销。仿真结果表明,当链路变化较快时,路由开销的降低更为明显。同时,由于延迟的LSA利息可以直接从网络内缓存返回数据,因此收敛时间也保持在较小的范围内。
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引用次数: 1
Research of Improved MRAS Based Sensorless Control of Permanent Magnet Synchronous Motor Considering Parameter Sensitivity 考虑参数灵敏度的改进型MRAS永磁同步电机无传感器控制研究
Y. Ni, Dingguo Shao
PMSM sensorless control performance is largely affected by the accuracy of rotor position estimation. In this paper, MRAS method is used in the PMSM sensorless control, the position estimation of traditional MRAS sensorless method is sensitive to parameter variation during the operation of PMSM. To solve the problem, simulation has been done at first to study the parameter sensitivity of traditional MRAS. Base on the simulation results that variations in inductance and flux linkage have a greater impact on MRAS position estimation, an improved MRAS sensorless method is proposed in this paper. The MRAS adjustable model is updated by the FFRLS parameter identification results in each control cycle. The simulation results show that the improved MRAS position estimator can effectively reduce the influence of parameter variation on rotor position estimation.
永磁同步电机无传感器控制的性能很大程度上取决于转子位置估计的精度。本文将MRAS方法应用于永磁同步电机的无传感器控制中,传统的MRAS无传感器方法的位置估计对永磁同步电机运行过程中参数的变化比较敏感。为了解决这一问题,首先对传统MRAS的参数灵敏度进行了仿真研究。基于电感和磁链变化对MRAS位置估计影响较大的仿真结果,提出了一种改进的MRAS无传感器估计方法。每个控制周期的FFRLS参数辨识结果更新MRAS可调模型。仿真结果表明,改进的MRAS位置估计器能有效降低参数变化对转子位置估计的影响。
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引用次数: 8
Design of Low-power Portable Multi-function Digital Oscilloscope 低功耗便携式多功能数字示波器的设计
Xueli Zhou, Yuke Tian, Jie Shi, N. Zhao, Yu Yang
With the continuous development of integrated circuit technology and digital processing technology, this article designed a portable low-power multifunction digital oscilloscope based on STM32F407ZGT6. The input signal can be processed through the signal conditioning circuit, and the ADC module carried by the main control chip STM32 is used to collect external signals, using a 3.5-inch TFT-LCD to display the processed signal waveform. The added touch screen makes the operation more convenient. The software ported the UCOS-II embedded operating system and the graphical support system UCGUI in embedded applications to form a complete real-time operating system. After actual testing, the oscilloscope has the characteristics of high real-time performance, low power consumption, stable and practical performance. And it has strong practical value and promotion value.
随着集成电路技术和数字处理技术的不断发展,本文设计了一种基于STM32F407ZGT6的便携式低功耗多功能数字示波器。输入信号可以通过信号调理电路进行处理,由主控芯片STM32携带的ADC模块采集外部信号,使用3.5英寸TFT-LCD显示处理后的信号波形。新增触摸屏,操作更加方便。该软件将UCOS-II嵌入式操作系统和嵌入式应用中的图形支持系统UCGUI进行了移植,形成了一个完整的实时操作系统。经实际测试,该示波器具有实时性高、功耗低、性能稳定实用等特点。具有较强的实用价值和推广价值。
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引用次数: 1
A Compression Storage Technology for Production Process Data of an Electric Porcelain Enterprise 某电瓷企业生产过程数据压缩存储技术
Siqi Wei, Shaohong Jing, Jianxue Bi
In view of the large amount of data in the production process of electric porcelain enterprises and its changing characteristics, the data is compressed using variable storage and feature compression algorithms to reduce the amount of data stored in the database. Using this compressed storage technology improves the data compression rate, transmission and processing efficiency, and can effectively save storage space and manage data.
针对电瓷企业生产过程中数据量大及其变化的特点,采用变量存储和特征压缩算法对数据进行压缩,以减少数据库中存储的数据量。采用这种压缩存储技术提高了数据压缩率、传输和处理效率,可以有效地节省存储空间和管理数据。
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引用次数: 0
A Novel Blind Detection Algorithm Based on Multi-Clustering Complex Neural Network 一种基于多聚类复杂神经网络的盲检测新算法
Jinwen Wu, Hai-Hong Jin, Shujuan Yu, Yun Zhang
Aiming at solving the problems that the CHNN-RIHM (Complex-valued Hopfield Neural Network Real-Imaginary-type Hard-Multistate-activation-function) is easy to get into a local optimization and requires a large amount of data, we propose to use Signal Blind Detection Algorithm Based on MC-CHNN (Multi-Clustering Complex-valued Hopfield Neural Network), construct a new energy function and prove the stability of MC-CHNN. The optimization scheme of MC-CHNN is as follows: we use a piecewise annealing function to improve the convergence speed of blind detection. To further reduce the complexity of the MC-CHNN algorithm and improve the sensitivity of MC-CHNN, we propose to apply a new activation function called the multi-clustering function to MC-CHNN and replace the activation function of CHNN-RIHM with multi-clustering function when dealing with discrete multilevel signals. The simulation results show that the MC-CHNN has a faster convergence speed, stronger anti-noise capability, and can be better applied to low SNR than its competitors.
针对复值Hopfield神经网络实数型硬多态激活函数(CHNN-RIHM)易陷入局部最优且需要大量数据的问题,提出采用基于多聚类复值Hopfield神经网络(MC-CHNN)的信号盲检测算法,构造新的能量函数并证明MC-CHNN的稳定性。MC-CHNN的优化方案如下:采用分段退火函数提高盲检测的收敛速度。为了进一步降低MC-CHNN算法的复杂度,提高MC-CHNN的灵敏度,我们提出在MC-CHNN中引入一种新的激活函数——多聚类函数,并在处理离散多电平信号时用多聚类函数代替CHNN-RIHM的激活函数。仿真结果表明,MC-CHNN具有更快的收敛速度和更强的抗噪能力,能够更好地应用于低信噪比的环境。
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引用次数: 0
Public Opinion Analysis of Weibo Comments Based on Crawler and SVM 基于爬虫和支持向量机的微博评论舆情分析
Haohong Zhang, Shaohua Li, Jingying Feng, Yiduo Liang
In order to predict the trend of public opinion in Weibo news, this paper proposes a public opinion analysis method based on the combination of crawler and SVM. Firstly, word2vec model is used to train the sample, and the results are used to train SVM. Then, according to the popular news comments on Weibo, crawler is used to get the news, Jieba is used to segment the words into the model to judge, and hierarchical vector machine is used to judge the emotion. Finally, based on the statistical data to judge the trend of public opinion. The experimental results show that the test result is relatively more accurate and effective for public opinion analysis.
为了预测微博新闻中的舆情趋势,本文提出了一种基于爬虫和支持向量机相结合的舆情分析方法。首先使用word2vec模型对样本进行训练,并将训练结果用于SVM的训练。然后,根据微博上的热门新闻评论,使用爬虫获取新闻,使用Jieba将单词分割到模型中进行判断,使用分层向量机进行情感判断。最后,根据统计数据判断舆论走向。实验结果表明,测试结果相对而言更准确、有效地用于民意分析。
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引用次数: 0
Measured acoustic coefficient values correction method based on coordinate rotation 基于坐标旋转的实测声系数值校正方法
Yajie Ma, Yuyan Yu, Yi Hu
The ultrasonic relaxational absorption peak location based gas sensing techniques require to measure the acoustic velocity and absorption coefficient values at two fixed operating frequencies. Unfortunately, the inevitable errors resulted from the experimental equipment and environmental factors result in deviations in reconstructing the acoustic spectrums to affect the detection results. To overcome these errors, this paper proposes a coordinate rotation based method to correct the peak point locations. The method can address both the over-correction and under-correction issues of the existing temperature iterative correction algorithms, as well as the problem of iterative algorithm failure caused by two measured frequencies being too large or too small at the same time. The experimental results show that the method effectively reduces the error of frequency and acoustic attenuation coefficient measurement value, and optimizes the design and implementation process of gas sensor based on acoustic relaxation theory.
基于超声松弛吸收峰定位的气敏技术需要测量两个固定工作频率下的声速和吸收系数值。然而,由于实验设备和环境因素造成的不可避免的误差,导致声谱重构出现偏差,影响检测结果。为了克服这些误差,本文提出了一种基于坐标旋转的峰值点位置校正方法。该方法既可以解决现有温度迭代校正算法的过校正和欠校正问题,也可以解决两个测量频率同时过大或过小导致迭代算法失效的问题。实验结果表明,该方法有效地减小了频率和声衰减系数测量值的误差,优化了基于声松弛理论的气体传感器的设计与实现过程。
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引用次数: 0
Design and Research of an Ultrasonic Grain Moisture Content Detection Device 超声波谷物含水率检测装置的设计与研究
Anchen Shao, J. Chu
In view of the current traditional grain moisture detection equipment is greatly affected by the environmental temperature and has long detection cycle, small detection range and other problems, this paper uses ultrasonic sensor technology, combined with automatic control principle, to study the current grain moisture detection problems. A kind of detection device for grain moisture detection by ultrasonic wave is designed. Compared with the traditional laboratory grain moisture detection, the detection device can feed back the transmission status of ultrasonic wave in the detection sample through the sensor in real time, and get the detection results in a short time. Compared with the traditional capacitive resistance grain moisture detection device, the ultrasonic grain moisture detection device is less affected by the environmental temperature and has a larger detection range. The research shows that the widespread use of the ultrasonic grain moisture detection device can effectively increase the grain detection efficiency and improve the measurement accuracy, which is of great significance for controlling the grain quality and ensuring the grain storage security.
针对目前传统的粮食水分检测设备受环境温度影响较大,存在检测周期长、检测范围小等问题,本文采用超声波传感器技术,结合自动控制原理,对当前粮食水分检测存在的问题进行了研究。设计了一种超声波检测粮食水分的装置。与传统的实验室谷物水分检测相比,该检测装置可以通过传感器实时反馈超声波在检测样品中的传播状态,并在短时间内得到检测结果。与传统的电容电阻式谷物水分检测装置相比,超声波谷物水分检测装置受环境温度的影响较小,检测范围更大。研究表明,超声波谷物水分检测装置的广泛应用,可有效提高粮食检测效率,提高测量精度,对控制粮食质量,保障粮食储存安全具有重要意义。
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引用次数: 1
Dynamic Model Construction and Simulation Based on Intelligent Driving Vehicle 基于智能驾驶汽车的动态模型构建与仿真
Jie Huang, Shan Xiao, Long Xiao, Yang Jiao, ZhaoQiang Wang, Xuelei Wang
In order to ensure the smooth, reliable and safe driving of intelligent vehicles, this paper combines the driving state information and energy transfer information of vehicles in traffic environment, builds a three-degree-of-freedom vehicle dynamic model and force analysis, and verifies it by software simulation. The results show that the dynamic model and control algorithm can ensure the safe driving of intelligent vehicles under complex constraints such as high speed, slip and roll, and effectively consider the influence of road curvature and terrain on the dynamic characteristics of high-speed vehicles to ensure collision-free driving. Hardware-in-the-loop simulation can connect the rapid prototype hardware system with the actual equipment to be controlled, and can repeatedly study the performance characteristics of the system when using different sensors and driving mechanisms .
为了保证智能汽车的平稳、可靠、安全行驶,本文结合车辆在交通环境中的行驶状态信息和能量传递信息,建立了三自由度的车辆动力学模型和受力分析,并通过软件仿真进行了验证。结果表明,该动态模型和控制算法能够保证智能车辆在高速、滑移、侧滚等复杂约束条件下的安全行驶,并有效考虑道路曲率和地形对高速车辆动态特性的影响,确保无碰撞行驶。硬件在环仿真可以将快速原型硬件系统与实际待控设备连接起来,可以反复研究系统在使用不同传感器和驱动机构时的性能特性。
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引用次数: 2
期刊
2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
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