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

A Novel PID Control Strategy Based on PSO-BP Neural Network for Phase-Shifted Full-Bridge Current-Doubler Synchronous Rectifying Converter 基于PSO-BP神经网络的移相全桥倍流同步整流变换器PID控制策略

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482183

Hemiao Liu, Yulian Zhao, Mahmoud Al Shurafa, Jiufei Chen, Jing Wu, Yanming Cheng

{"title":"A Novel PID Control Strategy Based on PSO-BP Neural Network for Phase-Shifted Full-Bridge Current-Doubler Synchronous Rectifying Converter","authors":"Hemiao Liu, Yulian Zhao, Mahmoud Al Shurafa, Jiufei Chen, Jing Wu, Yanming Cheng","doi":"10.1109/IMCEC51613.2021.9482183","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482183","url":null,"abstract":"In this paper, a phase-shifted full-bridge rectifier (PSFB) based on MOSFET and its control strategies are studied. Aiming at its high loss, low efficiency and large ripple coefficient, a phase-shifted full-bridge based on IGBT is proposed to replace MOSFET phase-shifted full bridge to further reduce the on-state power loss. The current-doubler synchronization technology is applied to the rectifying converter to reduce the ripple factor further. In the control strategy, various double closed-loop PI control effects achieved by BP neural network and Particle Swarm optimization BP neural network (PSO-BP) are compared and analysed through modelling and conducting simulation. The simulation results demonstrate that PSO-BP neural network control strategy has the advantages of the fastest response speed, the smallest overshoot and the shortest steady-state time. Comprehensive test results indicate that the proposed IGBT phase-shift full bridge current-doubler synchronous rectifying converter based on PSO-BP neural network control has a good performance of excellent waveform, a fast dynamic response, a wide range of output voltage.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133380094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Adaptive Iterative Learning Trajectory Tracking Control of SCARA Robot SCARA机器人自适应迭代学习轨迹跟踪控制

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482360

Zhang Cheng, Zhang Zhuo

引用次数: 2

Application Model of Video Surveillance System Interworking Based on Blockchain 基于区块链的视频监控系统互联应用模型

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482064

Jingwen Li, Xiaoou Liu, Jun Zhao, Wei Liang, Lening Guo

引用次数: 2

Intelligent command and control of UAV Based on brain computer and eye tracking combined technology 基于脑机与眼动追踪相结合技术的无人机智能指挥控制

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482111

Xinan Wu, Hongguang Li, Jiaqi Chen

{"title":"Intelligent command and control of UAV Based on brain computer and eye tracking combined technology","authors":"Xinan Wu, Hongguang Li, Jiaqi Chen","doi":"10.1109/IMCEC51613.2021.9482111","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482111","url":null,"abstract":"Brain computer interface (BCI) and eye tracking technology are the mainstream human-computer interaction technology in current research. At present, the application in UAV command and control field is not mature. Relying on BCI or eye tracking technology alone, the success rate is difficult to reach 100%. For the application of UAV intelligent command and control, this paper designs an efficient and intelligent human-computer interaction system based on brain computer interface and eye tracking. The EEG control signal based on SSVEP is used in the brain computer interface. Eye tracking uses pupil central corneal reflex technology. In the UAV command and control software interface, eye tracking technology is used to display the eyeball fixation area in real time, which helps the human eye to accurately gaze at the command options, so as to improve the accuracy of brain computer signal relying on visual stimulation. The success rate of command and control command selection of man-machine interaction system reaches 100% through the multi UAV formation flight experiment.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124371410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The 3D Feature Prediction of the Molten Metal Direct Writing Result based on Neural Network 基于神经网络的熔融金属直写结果三维特征预测

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482337

Mingzhao Wang, W. Rong, Jialin Wang, Yongwei Wang, Yingying Sa, Yinuo Ma

引用次数: 0

Campus network intrusion prevention and detection application research 校园网入侵防御与检测应用研究

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482161

Sijun Li, Haotian Liu, W. Lv, Chun Liu

{"title":"Campus network intrusion prevention and detection application research","authors":"Sijun Li, Haotian Liu, W. Lv, Chun Liu","doi":"10.1109/IMCEC51613.2021.9482161","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482161","url":null,"abstract":"Campus network is composed of hardware, software and system. With the continuous development of the Internet, the technology of preventing Internet from being infringed has been studied. As a network protection means, intrusion detection technology hopes to prevent the factors inducing campus network security at the source and ensure that the important information in the campus network is not infringed Recognized as the most secure and appropriate technology to prevent campus network security incidents. In this paper, intrusion detection and firewall are combined to build a campus network security system. In the system, the data acquisition module is used to collect the specified network traffic data, analyze the abnormal behavior of network traffic, calculate the abnormal degree of abnormal behavior, and when the abnormal degree exceeds the threshold, the alarm is sent to the analysis module and the abnormal degree information is provided. The analysis module analyzes the abnormal alarm information from the statistical analysis module, and judges whether the alarm indicates that there is a network intrusion according to the corresponding algorithm. Through the test of campus network security system, the results show that the system has ideal intrusion detection ability, and can further improve the security protection and network management level of campus network.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the characteristics of flexible control load of rural distribution network and flexibility evaluation 农村配电网柔性控制负荷特点及柔性评价研究

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482299

Bo Wang, Mingguo Zheng, Yongting Lu, Jinlian Wu, Jianbin Zhou, Zhengqiang Wu, K. Zhao

{"title":"Research on the characteristics of flexible control load of rural distribution network and flexibility evaluation","authors":"Bo Wang, Mingguo Zheng, Yongting Lu, Jinlian Wu, Jianbin Zhou, Zhengqiang Wu, K. Zhao","doi":"10.1109/IMCEC51613.2021.9482299","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482299","url":null,"abstract":"The gradual penetration of new energy sources such as photovoltaics and wind energy into the power grid and the gradual penetration of adjustable loads such as electric vehicle charging stations has put forward a demand for flexibility in regulation and control of the distribution network. Through the analysis of the relevant indicators that affect the flexibility of the distribution network, the flexibility evaluation system of the distribution network is established, and the flexibility evaluation method of the distribution network is formed. Through the analysis of the flexibility of the distribution network in different scenarios, it can penetrate into the distribution network. Under the trend of rising rate, it provides relevant reference for the planning and construction of the distribution network. The integrated application of the combined controllable load and energy storage device can better improve the operating efficiency and flexibility of the distribution network.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114369772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A New Satellite Selection Algorithm Based on K-means 一种新的基于k均值的卫星选择算法

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482127

Jian Tang, Fangling Zeng, Tianbao Dong, Daqian Lv

引用次数: 0

Research on Remote Visualized Management System of Water Supply Pipe Network Based on Palmprint Recognition 基于掌纹识别的供水管网远程可视化管理系统研究

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482075

Mengyue Liu, Yanxue Xue, Meng Xue, Zhiqiang Wang, Yuexin Wang

引用次数: 0

Research and Implementation of Anti-interference Cluster Communication Technology Based on Competition-center Network 基于竞争中心网络的抗干扰集群通信技术研究与实现

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482381

Hai Zhao

引用次数: 1