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2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)最新文献

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Vehicles Detection of Traffic Flow Video Using Deep Learning 基于深度学习的交通流视频车辆检测
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8908873
Lu Lou, Qi Zhang, Chunfang Liu, Minglan Sheng, Yu Zheng, Xuan Liu
{"title":"Vehicles Detection of Traffic Flow Video Using Deep Learning","authors":"Lu Lou, Qi Zhang, Chunfang Liu, Minglan Sheng, Yu Zheng, Xuan Liu","doi":"10.1109/DDCLS.2019.8908873","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908873","url":null,"abstract":"The vehicle detection and tracking are important tasks in intelligent transportation system. The traditional methods of vehicle detection often cause the coarse-grained results due to suffering from the complex environments. YOLO is a pragmatic approach to multi-target detection with a simple and effective algorithm. This paper use YOLO to detect the moving vehicles and use a modified Kalman filter algorithm to dynamically track the detected vehicles, achieving overall competitive performance in day or night. The experimental results show the method is robust to occluding vehicles or congested roads and can obtain 92.11% average accuracy of vehicle counting at 2.55 fps speed.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"111 1","pages":"1012-1017"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78106074","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
Satellite Telemetry Anomaly Morphology Extraction Based on Normal Mode Gap Mining 基于Normal Mode Gap挖掘的卫星遥测异常形态提取
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8909043
Ying Du, Yueru Wang, Shaojun Chen, Xiang-qun Yang, Hui Liao, Chao Sun
{"title":"Satellite Telemetry Anomaly Morphology Extraction Based on Normal Mode Gap Mining","authors":"Ying Du, Yueru Wang, Shaojun Chen, Xiang-qun Yang, Hui Liao, Chao Sun","doi":"10.1109/DDCLS.2019.8909043","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909043","url":null,"abstract":"It is difficult for conventional data mining methods to find out non-frequent and long-sequence satellite telemetry anomaly morphology, and the mining results are not compact and lack of time continuity. In this paper, an anomaly morphology extraction algorithm NPGM-AMEA for telemetry data based on normal pattern gap mining is proposed. Firstly, the satellite telemetry parameters are discretized by KT-Means algorithm, and the original telemetry parameters are converted into feature strings. Secondly, the feature pattern mining is carried out to obtain the feature pattern of telemetry normal sequence, that is, the frequent closure of feature string;Then, the gap between adjacent normal feature modes is located to obtain the location of the abnormal pattern; Finally, the abnormal feature string between the normal mode gaps are extracted and the abnormal curve shape of telemetry state is obtained by matching the abnormal feature string with the time series data. The correctness and reliability of the method are verified by the simulation experiment of abnormal shape mining of the telemetry parameters of a certain type of satellite.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"70 1","pages":"1290-1294"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77902488","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
Cyclic Loading Test Facility for Ballast Bed of High-speed Railway 高速铁路道床循环加载试验装置
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8908874
Xuejun Wang, Jianghua Pu, Peng Wu, H. San, Mingfang Chen
{"title":"Cyclic Loading Test Facility for Ballast Bed of High-speed Railway","authors":"Xuejun Wang, Jianghua Pu, Peng Wu, H. San, Mingfang Chen","doi":"10.1109/DDCLS.2019.8908874","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908874","url":null,"abstract":"In this paper, a new full-scale indoor ballasted ballast bed cyclic loading test-bed is introduced. Based on the actual operation of high-speed train, the corresponding relationship between the simulation parameters of loading process and the actual operation parameters is analyzed, and the hydraulic transmission and control system of the cyclic loading test-bed, which can simulate the actual operation of vehicles are designed. According to the simulated parameters and test methods of the cyclic loading test bench, the hydraulic circuit is built, and the electro-hydraulic proportional key technology is used to precisely control the hydraulic circuit. The principle and characteristics of the hydraulic system of the test-bed are emphatically expounded, and the performance of the test model is verified by comparing the test results.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"1377-1381"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76784925","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
K-Filter Observer Based Optimal Robust Guarantee Cost Control for Uncertain Nonlinear Servo System with Immeasurable States 基于k滤波观测器的状态不可测不确定非线性伺服系统最优鲁棒保证代价控制
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8908890
Minlin Wang, Xueming Dong, X. Ren
{"title":"K-Filter Observer Based Optimal Robust Guarantee Cost Control for Uncertain Nonlinear Servo System with Immeasurable States","authors":"Minlin Wang, Xueming Dong, X. Ren","doi":"10.1109/DDCLS.2019.8908890","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908890","url":null,"abstract":"In this paper, a K-filter observer based optimal robust guarantee cost controller is proposed for uncertain nonlinear servo system with immeasurable states to achieve the precision load tracking. By using a K-filter observer to estimate both the system states and the nonlinearities, an adaptive dynamic surface control is designed to make the system output track a given reference command. However, since the parameter uncertainties may influence the system tracking performance, an optimal robust guarantee cost control is developed to combine with the adaptive dynamic surface control to stabilize the uncertain system and guarantee the system cost function less than or equal to a given upper bound. The Lyapunov theory proves the stability of the closed-loop control system. Simulation results based on a servo system are conducted to illustrate the efficiency of the proposed control scheme.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"77 1","pages":"420-425"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76723827","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
Simplified Strategy of Three-level Indirect Matrix Converter Based on Space Vector 基于空间矢量的三电平间接矩阵变换器的简化策略
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8908965
Xinghe Ma, Yaguang Ma, Junying Zhao, Dan Xu
{"title":"Simplified Strategy of Three-level Indirect Matrix Converter Based on Space Vector","authors":"Xinghe Ma, Yaguang Ma, Junying Zhao, Dan Xu","doi":"10.1109/DDCLS.2019.8908965","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908965","url":null,"abstract":"According to the disadvantages of traditional three-level space vector control strategy with the complexity of the selection of switching vector order and the large computational complexity of the algorithm, a simplified space vector control strategy applied to the three-level indirect matrix converter is proposed. On the device, this method adopts a control strategy with no zero vector in the rectification stage to ensure that the input voltage power factor reaches a maximum, the inverter stage uses space vector control strategy of the simplified sector reconstruction to rotate the reference voltage into the first sector. Then reference voltage correction and level-down processing are performed. Compared with the traditional control strategy, this control strategy not only reduces the computational complexity of the algorithm but also eliminates the need to store a large amount of data in advance, and also reduces the harmonic distortion ratio. The simplified space vector control strategy is verified on simulation and an experimental prototype platform is built. The correctness and feasibility of the control strategy are verified on experimental methods.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"66 1","pages":"93-98"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79777409","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
Health Monitoring of Strain Wave Gear on Industrial Robots 工业机器人应变波齿轮的健康监测
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8908848
Heqing Sun, Jiafan Zhang
{"title":"Health Monitoring of Strain Wave Gear on Industrial Robots","authors":"Heqing Sun, Jiafan Zhang","doi":"10.1109/DDCLS.2019.8908848","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908848","url":null,"abstract":"Industrial robots play important parts in modern industries, and the low performance or even sudden breakdown of robots will cause losses due to poor product quality and plant down time. Robot condition monitoring technologies draw much attention from both academia and industry to study how to discover abnormality of robot as early as possible to minimize damages. Strain wave gear has been widely applied in industrial robot because of its desirable and attractive properties, such as small backlash and high compactness. This paper focuses on health monitoring solution of strain wave gear on industrial robots, mainly including sensor type selection and feature extraction. The proposed solution is verified on strain wave gear from Harmonic Drive and on thousands of ABB industrial robots in the factories.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"4 1","pages":"1166-1170"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81495678","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: 3
Displaying Method of Remote Sensing Images Based on the Domestic Independent Controllable Platform 基于国产自主可控平台的遥感影像显示方法
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8908876
Lichun Yang, Guangfu Ge, Dan Yang, Yingyan Gu
{"title":"Displaying Method of Remote Sensing Images Based on the Domestic Independent Controllable Platform","authors":"Lichun Yang, Guangfu Ge, Dan Yang, Yingyan Gu","doi":"10.1109/DDCLS.2019.8908876","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908876","url":null,"abstract":"In order to improve the level of informationization and equipment construction of the army, and build a self-controllable remote sensing image processing system, a reading and displaying method is proposed for remote sensing images based on the open source raster geodatabase geospatial data abstraction library (GDAL) and the cross-platform application framework Qt. The GDAL is employed to read and sample remote sensing images, which are then displayed and rendered by the Qt graphical view framework. The experimental results show that the proposed method can run successfully on the Windows platform and the embedded real-time Delta operating system (Delta OS) platform, free from limitation of the operating environment of commercial remote sensing software platform. The proposed method can effectively improve the displaying of large-scale remote sensing images and computer's memory efficiency, and promote the development of remote sensing image processing system under the domestic independent controllable platform.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"12 4 1","pages":"344-349"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82628356","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
An Improved Quadratic-Criterion-Based Iterative Learning Control for Trajectory Tracking of Robotic Arms 机械臂轨迹跟踪的改进二次准则迭代学习控制
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8908891
Minfeng Zhu, Lingjian Ye, Xiushui Ma
{"title":"An Improved Quadratic-Criterion-Based Iterative Learning Control for Trajectory Tracking of Robotic Arms","authors":"Minfeng Zhu, Lingjian Ye, Xiushui Ma","doi":"10.1109/DDCLS.2019.8908891","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908891","url":null,"abstract":"In this paper, an improved quadratic-criterion-based iterative learning control approach (Q-ILC) is proposed to obtain better trajectory tracking performance for the robotic arms. Besides of the position error information, which has been used in existing Q-ILC methods for robotic control, the velocity error information is also taken into consideration such that a new norm-optimal objective function is constructed. Convergence and error sensitivity properties for the proposed method are also analyzed. Furthermore, the Extended Kalman Filter (EKF) is utilized to estimate error states, which restrain the effects of model errors and measurement noise. Simulations on a 2DOF Robot manipulator demonstrate that our method achieves faster convergence and better transient performance, compared to the original Q-ILC.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"93 1","pages":"243-248"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89084501","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
Modeling and Dynamic Simulation of TI Worm Drivebased on GearTrax 基于GearTrax的TI蜗杆传动建模与动态仿真
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8909061
Jianghua Pu, Xuejun Wang, Peng Wu, H. San, Mingfang Chen
{"title":"Modeling and Dynamic Simulation of TI Worm Drivebased on GearTrax","authors":"Jianghua Pu, Xuejun Wang, Peng Wu, H. San, Mingfang Chen","doi":"10.1109/DDCLS.2019.8909061","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909061","url":null,"abstract":"Rail transport conveyer is a kind of special transportation equipment commonly used in the metallurgical industry. One of the crucial reasons leading to the inefficient/poor reliability and low kinetic accuracy of rail transport conveyer is closely related to the transmission system. A precise three-dimension solid model of the TI worm and worm gear is established, which serves as the main transmission structure is built with GearTrax and Solid Edge. ADAMS simulation analytic software is utilized to conduct kinematic simulation analysisthrough inputting modeling of worm transmission structure in rail transport lifting system with Hertz contact theory, and the change rules of driven link bevel tooth rotation speed and worm and gear engaging force are obtained and analyzed. Therefore, it has improved the reliability and efficiency of rail transport conveyer transmission system, and a reference method is provided for 3D solid modeling of TI worm transmission and the dynamics modeling and analysis of worm and gear transmission mechanism.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"66 1","pages":"1355-1359"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89484795","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
Output Tracking for a Class of Nonlinear Non-Minimum Phase Systems and Its Applications 一类非线性非最小相位系统的输出跟踪及其应用
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI: 10.1109/DDCLS.2019.8908914
Chao Ma, Jian Wang, Ruisheng Sun, G. Tao
{"title":"Output Tracking for a Class of Nonlinear Non-Minimum Phase Systems and Its Applications","authors":"Chao Ma, Jian Wang, Ruisheng Sun, G. Tao","doi":"10.1109/DDCLS.2019.8908914","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908914","url":null,"abstract":"In this paper, a new output synthetic method is proposed for a class of nonlinear non-minimum phase systems based on output redefinition. The thought of pole assignment is applied to the determination of new output, so that the influence on output tracking performance which is caused by nonlinear internal dynamics can be weakened. Feedback linearization and non-causal stable inverse are employed to constitute the controller. A general formula of the determination of new output is derived. The method is applied to the acceleration tracking of high-speed tail-controlled missile. The simulation results demonstrate that the controller has consistent performance in the whole working area and the ability to track complex signals.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1984 1","pages":"153-157"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87805640","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
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