2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献_第6页

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2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/yac.2019.8787666

引用次数: 0

Design and implementation of swirlmeter and its monitoring platform 旋涡仪及其监测平台的设计与实现

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787710

Ling Jiang, Bingbing Shen, Liang Hua, Juping Gu, Jiahao Zhao, Dongdong Wu

引用次数: 1

Sliding Mode Control of the Optoelectronic Stabilized Platform Based on the Exponential Approach Law 基于指数逼近律的光电稳定平台滑模控制

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787674

Qi Qiao, Kang Nie, Jiuqiang Deng, Wei Ren, Xinglong Chen, Yao Mao

{"title":"Sliding Mode Control of the Optoelectronic Stabilized Platform Based on the Exponential Approach Law","authors":"Qi Qiao, Kang Nie, Jiuqiang Deng, Wei Ren, Xinglong Chen, Yao Mao","doi":"10.1109/YAC.2019.8787674","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787674","url":null,"abstract":"As the tracking target of the optoelectronic tracking system changes, higher requirements are placed on the tracking accuracy of the optoelectronic tracking system. The optoelectronic tracking system will be subjected to various nonlinear disturbances during the actual operation, which affects the tracking accuracy of the system. In the process of designing traditional PID controllers, the nonlinear factors existing in the system are often neglected. The controller designed by this method is difficult to improve the tracking accuracy of the system. Therefore, in order to improve the tracking accuracy of the optoelectronic tracking system, the primary task is to improve the anti-disturbance capability of the system. This paper uses a sliding mode controller, which has the advantages of fast response, insensitivity to parameter changes and disturbances, to suppress the interference of external disturbances on the system. Among them, the sliding model surface adds the integral term of the position error, and the control law adopts the improved exponential approach law, which effectively suppresses the chattering phenomenon of the sliding mode controller and improves the anti-disturbing ability of the optoelectronic tracking system. The simulation results verify the effectiveness and superiority of the sliding mode control strategy designed in this paper.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"138 1","pages":"407-410"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77609302","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

Overload and Load Centroid Recognition Method Based on Vertical Displacement of Body 基于车身垂直位移的过载和载荷质心识别方法

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787717

Yiran Ding, Daolin Zhou, Zhenyu Wang, Haoyu Wang, Ming Li, Shimin Yu

{"title":"Overload and Load Centroid Recognition Method Based on Vertical Displacement of Body","authors":"Yiran Ding, Daolin Zhou, Zhenyu Wang, Haoyu Wang, Ming Li, Shimin Yu","doi":"10.1109/YAC.2019.8787717","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787717","url":null,"abstract":"The heavy-duty vehicles have large transportation capacity. Load value and load centroid position of the heavy-duty vehicles vary with the cargo mass and the driving condition, which affect driving safety and handling stability. Load value and load centroid position of the vehicles are usually measured on fixed test platform, and the vehicles are stationary or pass the platform slowly in the measurement process. This paper proposes a vehicle load and load centroid measurement system based on the machine vision and vertical displacement of the body, which is measured during the driving process. First, a mathematical model of the body displacement and vehicle load corresponding to the axles is established, and load centroid recognition model is established. Then, roadbed facilities are arranged according to specific requirements, and the identification environment is built. Based on the machine vision technology, the vertical characteristic distance is recognized by the side camera. Finally, the vehicle load value can be obtained by resolve the parameters. Compared with the rated load data in the database, the overload judgment of the vehicle is obtained. The load centroid of the vehicle can also be identified. By filtering the characteristic distance data recognized by the machine vision, the characteristic distance measurement error is effectively reduced. The vehicle experiments were carried out with ISUZU QL5050and Yuejin Shangjun X500. The experimental results verify the effectiveness of the system and can be used to identify overloads and offset loads, the load identification error is less than 20%, and the position of the load centroid is obtained. The result guide the driver to load cargoes reasonably and drive safely. Load value and load centroid position of the heavy-duty vehicles could be also used as the inputs of active safety system, which could improve the adaptability of active safety system to complex conditions.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"37 1","pages":"479-484"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74108248","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

Research on Acoustic Feature Extraction of Crying for Early Screening of Children with Autism 哭声声特征提取用于自闭症儿童早期筛查的研究

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787725

K. Wu, Chao Zhang, Xiao-pei Wu, De Wu, Xia Niu

引用次数: 7

Adaptive multi-group fruit fly optimization algorithm 自适应多群果蝇优化算法

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787618

Yuke Liu, Qingyong Zhang, Lijuan Yu

引用次数: 1

Structure Study of Multiple Traveling Salesman Problem using Genetic Algorithm 基于遗传算法的多旅行商问题结构研究

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787633

Y. Zhu, Lin Wu

引用次数: 4

A Study on the Optimized Solution of Redundant Manipulators Using Improved General-Weighted Least-Norm Method 基于改进广义加权最小范数方法的冗余机械臂优化解研究

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787706

Jie Qiu, Kun Xu, Wenqian Hu, Ziwu Ren

引用次数: 0

A Two-level Classification Method for Attacks on the Network 网络攻击的两级分类方法

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787727

Yanyan Li, Zhichun Jia, Qiuyang Han, Xing Xing

引用次数: 0

A Laboratory Aquaponics System via PLC and LabVIEW 基于PLC和LabVIEW的实验室水培系统

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-01 DOI: 10.1109/YAC.2019.8787611

Wang Wei, Lin Shaohan, Li Kang

引用次数: 2