2019 4th International Conference on Control and Robotics Engineering (ICCRE)最新文献_第3页

Research on the Intelligent Industrial Detection System for Distribution Network Equipment 配电网设备智能工业检测系统的研究

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/ICCRE.2019.8724344

Di Fan, Zhimin Shao, Lisheng Li, Yong Sun, Hailei Meng, Chenyu Zhao

{"title":"Research on the Intelligent Industrial Detection System for Distribution Network Equipment","authors":"Di Fan, Zhimin Shao, Lisheng Li, Yong Sun, Hailei Meng, Chenyu Zhao","doi":"10.1109/ICCRE.2019.8724344","DOIUrl":"https://doi.org/10.1109/ICCRE.2019.8724344","url":null,"abstract":"With the rapid development of distribution network automation, the efficiency of the production, operation and management of the distribution network equipment need to be improved. The intelligent distribution network equipment includes the distribution overhead line malfunction indicator and the distribution terminal, which are important to the reliability of the power system. It is necessary to ensure the superior performance and reliability of the malfunction indicator and distribution terminal products. So, batch inspection needed carried out. In this paper, the intelligent industrial automatic detection system for the malfunction indicators and distribution terminals is designed. An intelligent industrial detection system is proposed for the batch inspection of distribution network equipment. The system is mainly composed of the automatic detection assembly line, the integrated management system and the control system. The appearance structure inspection, function performance test, data statistics, multi-dimensional analysis and the multiplex display can be performed by the assembly line. Based on the artificial intelligence vision recognition technology, the industrial robot technology and the big data analysis technology, the proposed system realizes the multi-level interaction of the detection procedure, improve the detection speed, and secures the accuracy of the equipment detection. The intelligent detection system is a pilot project for the largescale and high-precision inspection of the distribution network equipment.","PeriodicalId":366332,"journal":{"name":"2019 4th International Conference on Control and Robotics Engineering (ICCRE)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122599951","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

ICCRE 2019 Preface

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/iccre.2019.8724293

引用次数: 0

Design, Implementation and Nonlinear Control Analysis of a Furuta Pendulum System 古田摆系统的设计、实现及非线性控制分析

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/ICCRE.2019.8724376

Efrain Mendez-Flores, Juan R. Lopez-Gutierrez, Israel Macias-Hidalgo, M. Ramírez-Cadena, Adriana Vargas-Martínez, J. Lozoya-Santos, R. Ramírez-Mendoza, R. Morales-Menéndez, Arturo Molina-Gutiérrez

引用次数: 4

Energy Efficient Cluster Formation Algorithm Based on GA-optimized Fuzzy Logic for Wireless Sensor Networks 基于ga优化模糊逻辑的无线传感器网络高效聚类算法

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/ICCRE.2019.8724364

Qingwei Liu, Mandan Liu

{"title":"Energy Efficient Cluster Formation Algorithm Based on GA-optimized Fuzzy Logic for Wireless Sensor Networks","authors":"Qingwei Liu, Mandan Liu","doi":"10.1109/ICCRE.2019.8724364","DOIUrl":"https://doi.org/10.1109/ICCRE.2019.8724364","url":null,"abstract":"Prolonging lifetime has always been a crucial issue in Wireless Sensor Networks (WSNs). Many researchers have contributed lots of routing techniques to maximize the network lifetime. Clustering is one of the most popular routing methods due to its high-energy efficiency and scalability. Numerous clustering algorithms have been proposed in recent years. Most of them focused on cluster head selection and neglected the importance of cluster head formation. This paper demonstrates the importance of the cluster formation issue and contributes a novel cluster formation algorithm for WSNs: an energy efficient Cluster formation algorithm based on GA-optimized Fuzzy Logic (CGAFL). In CGAFL, a Fuzzy Inference System (FIS) is applied in cluster formation phase. The fuzzy inference system takes residual energy of the CH, distance between the CH and BS, and distance between the CH and the node as parameters. Each non-CH applies the FIS for each CH and joins the CH that has the maximum chance value to form the cluster. Unlike other fuzzy logic protocols, we use Genetic Algorithm (GA) to optimize the fuzzy inference rule in the FIS. Simulation results show that CGAFL can find the optimal fuzzy inference rules and prolong the lifetime of WSNs, compared with LEACH, CFFL and FLCFP.","PeriodicalId":366332,"journal":{"name":"2019 4th International Conference on Control and Robotics Engineering (ICCRE)","volume":"147 1-3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120908792","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: 7

Research on Model Predictive Control-based Trajectory Tracking for Unmanned Vehicles 基于模型预测控制的无人驾驶飞行器轨迹跟踪研究

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/ICCRE.2019.8724158

Shoutong Yuan, Pengchao Zhao, Qingyu Zhang, Xin Hu

引用次数: 12

A Method of Motion Information Overall Sensing of Wearable Robot Based on Virtual Inertial Measurement Unit 基于虚拟惯性测量单元的可穿戴机器人运动信息整体感知方法

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/ICCRE.2019.8724260

Zhisen Ni, Weixing Qian, Yating Gu, Zhe Chen, Zeyu Zhao, Tongtong Zhang

{"title":"A Method of Motion Information Overall Sensing of Wearable Robot Based on Virtual Inertial Measurement Unit","authors":"Zhisen Ni, Weixing Qian, Yating Gu, Zhe Chen, Zeyu Zhao, Tongtong Zhang","doi":"10.1109/ICCRE.2019.8724260","DOIUrl":"https://doi.org/10.1109/ICCRE.2019.8724260","url":null,"abstract":"A machine learning based method is studied for motion information comprehensive sensing of medical rehabilitation wearable robot. Taking use of human kinematics model to detect sample data, the model combines a type of visual-geometry-group-network and a long-short-term-memory neural network model (VGG-LSTM) to generate virtual inertial measurement unit. It is meant to realize the method of motion information overall sensing with a relatively small number of inertial measurement units. Furthermore, how to balance the complexity of machine learning model and the approximation accuracy of virtual inertial units becomes the focus. By analyzing the effects of VGG and layers of LSTM on the approximation accuracy of virtual inertial information and the utilization rate of computer system resources, the optimal synthesis of the neural network model structure. It both satisfies the comprehensive index of performance and system complexity optimization. The neural network structure lays a foundation for the engineering application of motion information comprehensive sensing of the wearable robot.","PeriodicalId":366332,"journal":{"name":"2019 4th International Conference on Control and Robotics Engineering (ICCRE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115775831","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

ICCRE 2019 Conference Committees ICCRE 2019会议委员会

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/iccre.2019.8724196

引用次数: 0

Vertical Design of 3D Camera Platform 三维摄像平台的垂直设计

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/ICCRE.2019.8724353

Yulong Dong, Yue Dong, Jiefeng Liu, Xianting Wu

{"title":"Vertical Design of 3D Camera Platform","authors":"Yulong Dong, Yue Dong, Jiefeng Liu, Xianting Wu","doi":"10.1109/ICCRE.2019.8724353","DOIUrl":"https://doi.org/10.1109/ICCRE.2019.8724353","url":null,"abstract":"This paper aims to design a new type of vertical stereo film and television platform with strong stability and high accuracy. This platform combines manual and automatic adjustment, it can also achieve the automatic tracking of shooting objects.Firstly, from the aspect of structure design, the vertical stereo film and television platform consists of horizontal feed flexible unit, vertical feed flexible unit and load bracket. Secondly, in the control system of the platform, the infrared automatic remote control operation system is designed based on the traditional manual control mode of the platform, and the automatic tracking and shooting object system of the platform is designed sing the ultrasonic transmitter and receiver.Finally, after finishing the platform, we conducted test on the platform and made analysis on it. Compared with the traditional stereo film and television platform, the design of our platform adopts manual control and infrared automatic control system, and uses the method of automatic tracking of the shooting object, which can greatly improve the accuracy of the parameters adjustment of the platform, and improve the shooting efficiency and quality.","PeriodicalId":366332,"journal":{"name":"2019 4th International Conference on Control and Robotics Engineering (ICCRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130894050","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

Railway Vehicle Door Fault Diagnosis Method with Bayesian Network 基于贝叶斯网络的轨道车辆车门故障诊断方法

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/ICCRE.2019.8724211

RuWen Chen, Songqing Zhu, Fei Hao, Bin Zhu, Zhendong Zhao, Youxiong Xu

引用次数: 6

Double-Steady-State Test Bench of Reliability Performance of Shaft Tip Earthing Device in High-Speed Railway Vehicle 高速铁路车辆轴尖接地装置可靠性双稳态试验台

2019 4th International Conference on Control and Robotics Engineering (ICCRE) Pub Date : 2019-04-01 DOI: 10.1109/ICCRE.2019.8724173

Fuxing Tan, Dongsheng Xuan, Yanjing Zhang, Zheyu Shi, Rong Chen, Guan Xu

引用次数: 1