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第37届中国控制会议

作者： Haoran Tan Zhiwu Huang Min Wu School of Information Science and Engineering Central South University School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

The design and implementation of a monitoring system for networked control systems（NCSs） are introduced in this paper. The monitoring system is developed in *** framework using C# according to the C/S architecture which allows the user to monitor network nodes without geographical limitations. The widgets used to display come from the National Instruments（NI） suit and are integrated in the system by reconstructing it. The user is able to design a monitoring interface freely by creating and customizing widgets dynamically. During the monitoring, the display value of the widget is synchronized with parameters and signals of NCSs through receiving data asynchronously from network notes. In particular, all elements of the matrix widely used in NCSs are supported for monitoring. The functionality and feasibility of the designed monitoring system are demonstrated via a networked control experiment. In addition, the saved data can be used in data driven control and model identification.

关键词： Customizable Monitoring System Real-time Monitoring Networked control systems

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A Dynamic Data-driven Model for Predicting Strip Temperature in Continuous Annealing Line Heating Process

A Dynamic Data-driven Model for Predicting Strip Temperature...

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第37届中国控制会议

作者： Yongyue Zhang Yali Jin Weihua Cao Zezhong Li Yan Yuan School of Information Science and Engineering Central South University School of Automation China University of Geoscience Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In the continuous annealing line heating process, it is hard to get an accurate predict result only by a steady state model as it is a complex, strongly time-delayed and confounding process. This study provides a method for building a dynamic model. First analyzes the mechanism of the annealing line to get the main parameters, and then use the data-driven modeling method to get a steady state model, finally combines with dynamic algorithm to establish a dynamic model. This modeling method improves the accuracy of predict result to guarantee the efficiency of enterprises.

关键词： data-driven dynamic model continuous annealing line heating process

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Qualitative Elemental Analysis of Minerals Based on Energy Dispersive X-ray Fluorescence Spectrometry

Qualitative Elemental Analysis of Minerals Based on Energy D...

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第37届中国控制会议

作者： JunLei Song ZhiHeng Yang Jing Cai XiaoYong Ni DianHong Wang Xing Jin WenQin Mo KaiFeng Dong Fang Jin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Mechanical and Electronic Information China University of Geosciences

The research of miniaturized XRF/XRD analyzers are carried out in this paper, especially the qualitative analysis based on EDXRF, a miniaturized energy dispersive X-ray fluorescence spectrometry platform is designed and a qualitative elemental analysis software based on Android operating system is developed. The elemental qualitative analysis software can preprocess the X-ray feature spectrum by background eliminationsmoothing and energy coefficient calibration, after these pretreatments,the main elements of the sample can be analyzed. The experimental results show that the qualitative elemental analysis platform proposed in this paper can measure the elements of Al to Au in the periodic table, besides, the detection accuracy of multiple samples is higher than 97%. The mineral qualitative elemental analysis software proposed in this paper can be applied to any portable analysis platform based on Android operating system, moreover, it will spur advances in the development of the miniaturization and intelligent X-ray fluorescence spectrometer.

关键词： EDXRF Fluorescence spectroscopy Qualitative elemental analysis

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Research of Vehicle Detection System Based on Geomagnetic Disturbance Detection

Research of Vehicle Detection System Based on Geomagnetic Di...

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第37届中国控制会议

作者： Junlei Song Yi Wei Chaoyu Xu Qi Liu Kaifeng Dong Wenqin Mo Fang Jin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Mechanical and Electronic Information China University of Geosciences

To overcome the shortcomings of high cost, maintenance difficulties in traditional vehicle detection methods. This paper p resents a novel vehicle detection method used in the military field. The anisotrop ic magneto resistive（AM R） sensor is used to detect geomagnetic disturbances in real time, meanwhile, the ultrasonic distance-measuring sensor is adop ted to determine the p osition of the target vehicle and avoid miscalculation. To reduce detection delay, a scheme containing dual AM R sensors and wireless communication module for information transferring is used on this detection sy stem. In order to verify the effectiveness of the detection sy stem, a mathematical model of vehicle detection based on geomagnetic disturbance detection is established. According to the test results, t he influence cased by different content of ferromagnetic material and detection distance is analy zed. Finally, the related exp eriments on the effects of different ferromagnetic contents on the geomagnetic disturbance at different detection distances are carried out. The exp erimental results verify the correctness of the mathematical model p rop osed in this p ap er, and further verify the effectiveness of the detection sy stem. This detection sy stem p ossesses many p rominent advantages such as low-cost, long-life, good p erformance of real time, convenience.

关键词： Geomagnetic measurement Magneto resistive sensor Vehicle detection

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Fast Satellite Selection Algorithm Based on Satellite Elevation Angle and Satelte Contribution for Geometry Dilution of Precision in GPS/BEIDOU

Fast Satellite Selection Algorithm Based on Satellite Elevat...

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第37届中国控制会议

作者： Guangjun Wang Jianjin Jiang School of Automation China University of Geosciences China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex System

In order to solve the contradiction between positional accuracy and real-time in satellite navigation system, a fast satellite selection algorithm based on satellite elevation angle and satellite contribution for Geometry Dilution of Precision（GDOP） in GPS/BEIDOU is proposed, which dependents on the high dynamic GPS/BEIDOU receiver developed by our laboratory. Through compared with the existing algorithm by real data simulation, our proposed algorithm has the smaller positional error in the X, Y, Z direction and lower complexity. As a result, we can prove that the proposed method has the feasibility and better real-time performance.

关键词： GPS/BEIDOU elevation angle satellite contribution value satellite selection

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Social Media Based Transportation Research: the State of the Work and the Networking

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 19-26页

作者： Yisheng Lv Yuanyuan Chen Xiqiao Zhang Yanjie Duan Naiqiang Li State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Department of Transportation Engineering School of Transportation Science and Technology Harbin Institute of Technology

Recently, there has been an increased interest in the use of social media data as important traffic information sources. In this paper, we review social media based transportation research with social network analysis *** summarize main research topics in this field, and report collaboration patterns at levels of researchers, institutions, and countries, respectively. Finally, some future research directions are identified. © 2014 Chinese Association of automation.

关键词： Traffic control Transportation

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A Novel Design Method of Digital Phase-locked Loop Applied to Three-phase Rectifier 36

A Novel Design Method of Digital Phase-locked Loop Applied t...

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第36届中国控制会议

作者： Qingyi Wang Xuefen Wang Min Ding Quan Yin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation Huazhong University of science and technology

ISBN: (纸本)9781538629185

The performance of phase-locked loop(PLL) severely affects the system's stability in a three-phase *** methods tend to adopt the idea of single synchronous coordinate transformation,which implements the phase synchronization through controlling the q-axis voltage to zero.A novel three-phase PLL is proposed in this paper based on this *** order to obtain better convergence rate near zero,the input of closed-loop PLL is replaced by the ratio of q-axis voltage and d-axis *** fastness and convergence of the system are further analyzed in *** and experiment results show that proposed method can lead to better rapidity,and the phase-locked process is superior to traditional digital PLL methods.

关键词： Rectifier Software Phase-locked Loop Convergence Rate Root Locus

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Differential evolution algorithm based on entropy weight method to determine the weight to optimize the configuration of wind, solar, and diesel microgrid

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Journal of Physics: Conference Series 2021年第1期1871卷

作者： Yongchen Xing Qing Duan Guobao Zhang Chunyan Ma Wen Long Liu Key Laboratory of Measurement and Control of Complex Systems of Engineering and School of Automation Southeast University Nanjing 210096 China) China Electric Power Research Institute Co. Ltd. Beijing 100192 China) State Grid Shanghai Energy Interconnection Research Institute Co. Ltd. Shanghai 201203 China)

In order to enhance the stable operation of the multi-energy complementary microgrid for wind, solar, and diesel storage, reduce operating costs, and solve the problems of large randomness, low accuracy, and slow convergence of traditional microgrid optimization multi-objective decision-making, a differential evolution based on the entropy weight method to determine the weight is proposed. Firstly, we establish a microgrid integrated energy model from the perspectives of system operation stability, economy and environmental protection; combined with the Pareto optimal solution set, multi-objectives are weighted according to the entropy weight method, and the multi-objective optimization problem is transformed into single-objective optimization The problem is to avoid artificial setting of weight factors; the calculation example shows that this method is more economical and reasonable in optimization results, and provides an economic, reliable and environmentally friendly microgrid configuration strategy for users to increase power capacity.

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To Improve Drilling Efficiency by Multi-objective Optimization of Operational Drilling Parameters in the complex Geological Drilling Process

To Improve Drilling Efficiency by Multi-objective Optimizati...

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第37届中国控制会议

作者： Chao Gan Weihua Cao Kangzhi Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Electrical and Electronic Engineering Chiba University

Operational drilling parameters optimization is necessary for increase drilling efficiency in complex geological drilling process. There are four key objectives to evaluate the drilling efficiency, including drilling cost, rate of penetration（ROP）, drill bit life, and drill bit’s specific energy. In this paper, we proposed a multi-objective optimization method to improve drilling efficiency in the complex geological drilling process considering all the four key objectives. Firstly, the characteristics of complex geological drilling process and optimization problems are analyzed to find the vital process parameters and problems for drilling efficiency optimization. Then, a multi-objective optimization model which combines the four key objectives is ***, an improved nondominated sorting genetic algorithm（improved NSGA-II） is used to optimize the operational drilling parameters include weight on bit（WOB） and rotational speed（RS） to make drilling efficiency improved. The real case results demonstrate that our method increases the drilling efficiency in four key objectives and saves the simulation time. The proposed method provides the foundation for intelligent optimization control in complex geological drilling process.

关键词： Operational Drilling Parameters Multi-objective Optimization complex Geological Drilling Process Drilling Efficiency Improved NSGA-II

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Design and Characterization of An Ultralow-Potential Drift Ag/AgCl Electric Field Sensor

Design and Characterization of An Ultralow-Potential Drift A...

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第37届中国控制会议

作者： Wang Luo Haobin Dong Jian Ge Huan Liu Bingjie Bai Cheng Zhang Zhiwen Yuan Jun Zhu Haiyang Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advance Control and Intelligent Automation for Complex Systems Institute of Geophysics & Geomatics China University of Geosciences

This paper presents an all-solid porous Ag/Ag Cl electric field sensor with ultralow-potential drift for detecting the seafloor electric field signals. The superiority of porous electrode compared with flat electrode on the polarization stability is expounded, and the technological process using solid state agglomeration in developing the all-solid porous Ag/Ag Cl electrode core are described. Moreover, a new sensor shell is proposed. Numerous parameters, e.g., polarization resistance, self-potential, drift, etc., of the proposed electrode are tested. The experimental results show that the self-potential is less than ± 0.1 m V, the source resistance is less than 0.01Ω, and the drift potential is less than ±5μV/24 h, which indicate the superior performance of the proposed Ag/Ag Cl electric field sensor for marine electric field exploration.

关键词： Ag/AgCl electrode pair ultralow-potential drift electric filed sensor stability

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