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.
{"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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482360
Zhang Cheng, Zhang Zhuo
Taking SCARA robot as the research object, an Adaptive Iterative Learning Control algorithm is used to solve the problems of slow speed, large pose error and poor anti-interference ability of conventional controller in robot trajectory tracking control. The model of robot control system is established by using SIMULINE, and the random disturbance signal input of the system is set. Given the trajectory of linear and curvilinear moving targets, the trajectory tracking control is verified. The experiment results show that, compared with the conventional controller, the Adaptive Iterative Learning Control method could control the end trajectory of the robot more accurately, the tracking speed is faster, the tracking attitude is more accurate, and it has good feasibility and portability.
{"title":"Adaptive Iterative Learning Trajectory Tracking Control of SCARA Robot","authors":"Zhang Cheng, Zhang Zhuo","doi":"10.1109/IMCEC51613.2021.9482360","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482360","url":null,"abstract":"Taking SCARA robot as the research object, an Adaptive Iterative Learning Control algorithm is used to solve the problems of slow speed, large pose error and poor anti-interference ability of conventional controller in robot trajectory tracking control. The model of robot control system is established by using SIMULINE, and the random disturbance signal input of the system is set. Given the trajectory of linear and curvilinear moving targets, the trajectory tracking control is verified. The experiment results show that, compared with the conventional controller, the Adaptive Iterative Learning Control method could control the end trajectory of the robot more accurately, the tracking speed is faster, the tracking attitude is more accurate, and it has good feasibility and portability.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"34 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":"133776828","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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482064
Jingwen Li, Xiaoou Liu, Jun Zhao, Wei Liang, Lening Guo
The traditional system of video surveillance interworking improves the efficiency, resources utilization rates and management ability through emerging technology, such as: AI, Big data, etc. However, while video surveillance system interworking, the problem of video surveillance data leakage, data authenticity cannot be verified still exists. Blockchain is a fundamental trust techniques, which can solve the problem of data not be trusted, data has been tampered, etc. This paper research and proposes an application model of video surveillance system interworking based on blockchain (BVSSI) and shows several application scenarios based BVSSI.
{"title":"Application Model of Video Surveillance System Interworking Based on Blockchain","authors":"Jingwen Li, Xiaoou Liu, Jun Zhao, Wei Liang, Lening Guo","doi":"10.1109/IMCEC51613.2021.9482064","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482064","url":null,"abstract":"The traditional system of video surveillance interworking improves the efficiency, resources utilization rates and management ability through emerging technology, such as: AI, Big data, etc. However, while video surveillance system interworking, the problem of video surveillance data leakage, data authenticity cannot be verified still exists. Blockchain is a fundamental trust techniques, which can solve the problem of data not be trusted, data has been tampered, etc. This paper research and proposes an application model of video surveillance system interworking based on blockchain (BVSSI) and shows several application scenarios based BVSSI.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"53 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":"115617931","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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482111
Xinan Wu, Hongguang Li, Jiaqi Chen
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.
{"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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482337
Mingzhao Wang, W. Rong, Jialin Wang, Yongwei Wang, Yingying Sa, Yinuo Ma
The three-dimensional features of the single track forming result are one of the key factors for metal 3D printing, while few studies are carried out to predict the three-dimensional features in liquid metal jetting printing area. In this paper, the results of the single track forming are scanned by 3D displacement sensor to obtain accurate 3D model. Based on the 3D model, the average width and average height are logically selected to demonstrate the three-dimensional features. To predict the type and size of the single track forming result, 2 neural networks are designed, which both contain 2 hidden layers. After training and testing, the Classification model of the two Multi-Input-Multi-Output neural networks has more than 90% accuracy in the classification prediction of the single channel forming results, and the average prediction errors of the average width and average thickness in the size prediction model are limited to 6%.
{"title":"The 3D Feature Prediction of the Molten Metal Direct Writing Result based on Neural Network","authors":"Mingzhao Wang, W. Rong, Jialin Wang, Yongwei Wang, Yingying Sa, Yinuo Ma","doi":"10.1109/IMCEC51613.2021.9482337","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482337","url":null,"abstract":"The three-dimensional features of the single track forming result are one of the key factors for metal 3D printing, while few studies are carried out to predict the three-dimensional features in liquid metal jetting printing area. In this paper, the results of the single track forming are scanned by 3D displacement sensor to obtain accurate 3D model. Based on the 3D model, the average width and average height are logically selected to demonstrate the three-dimensional features. To predict the type and size of the single track forming result, 2 neural networks are designed, which both contain 2 hidden layers. After training and testing, the Classification model of the two Multi-Input-Multi-Output neural networks has more than 90% accuracy in the classification prediction of the single channel forming results, and the average prediction errors of the average width and average thickness in the size prediction model are limited to 6%.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"42 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":"114436656","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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482161
Sijun Li, Haotian Liu, W. Lv, Chun Liu
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.
{"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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482299
Bo Wang, Mingguo Zheng, Yongting Lu, Jinlian Wu, Jianbin Zhou, Zhengqiang Wu, K. Zhao
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.
{"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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482127
Jian Tang, Fangling Zeng, Tianbao Dong, Daqian Lv
The first step is to select satellites during navigation and positioning, which determines the accuracy of navigation and positioning directly. A new satellite selection algorithm based on K-means clustering is proposed by calculating the azimuth and elevation of satellites in order to improve the accuracy and the real-time performance of the algorithm. On the basis of selecting the satellite with the highest elevation angle, this paper uses K-means algorithm to cluster the azimuth angle to select satellites and uses MATLAB software to simulate. The simulation results show that the GDOP of the algorithm is almost the same as that obtained by the optimal GDOP method, which has high accuracy, while the computational complexity of the algorithm is greatly reduced and the timeliness of satellite selection is improved.
{"title":"A New Satellite Selection Algorithm Based on K-means","authors":"Jian Tang, Fangling Zeng, Tianbao Dong, Daqian Lv","doi":"10.1109/IMCEC51613.2021.9482127","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482127","url":null,"abstract":"The first step is to select satellites during navigation and positioning, which determines the accuracy of navigation and positioning directly. A new satellite selection algorithm based on K-means clustering is proposed by calculating the azimuth and elevation of satellites in order to improve the accuracy and the real-time performance of the algorithm. On the basis of selecting the satellite with the highest elevation angle, this paper uses K-means algorithm to cluster the azimuth angle to select satellites and uses MATLAB software to simulate. The simulation results show that the GDOP of the algorithm is almost the same as that obtained by the optimal GDOP method, which has high accuracy, while the computational complexity of the algorithm is greatly reduced and the timeliness of satellite selection is improved.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"36 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":"116335041","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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482075
Mengyue Liu, Yanxue Xue, Meng Xue, Zhiqiang Wang, Yuexin Wang
In the Internet era, the combination of visualization and network technology make remote visualization services a reality. At present, one of the visualization technology research hotpots is the visualization technology based on web geographic information system(WebGIS). Based on the WebGIS visualization technology analysis, this paper combined the palmprint recognition technology, conducted in-depth research on the WebGIS visualization technology based on palmprint recognition, and designed a visual management system for urban water supply pipe network based on palmprint recognition, completed the information visualization management of water supply pipe network, The system has strong application value.
{"title":"Research on Remote Visualized Management System of Water Supply Pipe Network Based on Palmprint Recognition","authors":"Mengyue Liu, Yanxue Xue, Meng Xue, Zhiqiang Wang, Yuexin Wang","doi":"10.1109/IMCEC51613.2021.9482075","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482075","url":null,"abstract":"In the Internet era, the combination of visualization and network technology make remote visualization services a reality. At present, one of the visualization technology research hotpots is the visualization technology based on web geographic information system(WebGIS). Based on the WebGIS visualization technology analysis, this paper combined the palmprint recognition technology, conducted in-depth research on the WebGIS visualization technology based on palmprint recognition, and designed a visual management system for urban water supply pipe network based on palmprint recognition, completed the information visualization management of water supply pipe network, The system has strong application value.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"60 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":"117078824","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}
Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482381
Hai Zhao
The cluster communication system characterized by flexible networking, anti-damage and anti-interference is the critical factor to improve the cluster operational capability of unmanned system. The research on the critical technologies in terms of the cluster communication of unmanned system is conducted in this article in allusion to the problems in the current research results such as the poor practicability and weak anti-interference ability, and the design scheme of integrated anti-interference cluster communication system based on competition-center network is proposed. It’s showed in the test results that the system is characterized by the flexible node access, anti-damage and anti-interference with excellent application value.
{"title":"Research and Implementation of Anti-interference Cluster Communication Technology Based on Competition-center Network","authors":"Hai Zhao","doi":"10.1109/IMCEC51613.2021.9482381","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482381","url":null,"abstract":"The cluster communication system characterized by flexible networking, anti-damage and anti-interference is the critical factor to improve the cluster operational capability of unmanned system. The research on the critical technologies in terms of the cluster communication of unmanned system is conducted in this article in allusion to the problems in the current research results such as the poor practicability and weak anti-interference ability, and the design scheme of integrated anti-interference cluster communication system based on competition-center network is proposed. It’s showed in the test results that the system is characterized by the flexible node access, anti-damage and anti-interference with excellent application value.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"34 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":"124724850","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}
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