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检索条件"机构=Measurement and Control New Technology and System"

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Research on Mapping Method Between Smart Energy and Intelligent Sensing Terminal

Research on Mapping Method Between Smart Energy and Intellig...

引用

2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

作者： Liu, Siyang Mao, Yuxing Long, Yunfeng Pan, Jianyu Jiang, Tianyan Nie, Yongjie School of Electrical Engineering Chongqing University State Key Laboratory of Power Equipment & System Security and New Technology Chongqing China Electric Power Measurement Digitalization Control and Protection Yunnan Power Grid Co. Ltd. Yunnan Key Laboratory of Green Energy Yunnan Kunming China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

In the process of smart city construction, each city has its characteristics, so we should implement policies according to the city. Smart energy is an important cornerstone of smart city construction. This paper proposes a mapping method between smart energy and Intelligent Sensing Terminal. Firstly, a typical application scenario design of the smart city is proposed. Then, the smart city application scenario fitness calculation model is given combined with the analysis of macro and micro scenes. Finally, Intelligent Sensing Terminal and scene mapping mechanism are proposed by a new two-dimensional coding method. This method can quickly and effectively calculate the location to be arranged and the optimal number of devices, so as to reduce resource consumption and improve the quality of perceived data. © 2022 IEEE.

关键词： Smart city

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Neural based PID control for networked processes

Neural based PID control for networked processes

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作者： Chen, J. Cheng, N. Zhang, J. Department of Chemical Engineering Chung-Yuan Christian University Chung-Li 320 Taiwan National Institute of Standards and Technology Boulder CO United States Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China

A neural based PID feedback control method for networked process control systems is presented. As there are some uncertain factors such as external disturbance, randomly delayed measurements or control demands in real networked process control systems, the proposed PID controller is implemented by backpropagation neural networks whose weights are updated via minimizing tracking error entropy of closed loop systems. To demonstrate the potential applications of the proposed strategy, an example of a simulated batch reactor is provided. The proposed design method is shown to be useful and effective in dealing with network process control systems. © 2011 Zhejiang University.

关键词： Batch reactors

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Network-based reliable H_∞ filter designing for the systems with sensor failures

Network-based reliable H<sub>∞</sub> filter designing for t...

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2010 International Conference on Modelling, Identification and control, ICMIC 2010

作者： Lilong, Du Zhou, Gu Jinliang, Liu Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing China School of Power Engineering Nanjing Normal University Nanjing Jiangsu China College of Information Science and Technology Donghua University Shanghai China

This paper is concerned with the reliable filtering problem for network-based linear continuous-time system with sensor failures, The purpose of the addressed filtering problem is to design a filter such that the error dynamics of the filtering process is stable. By using the linear matrix inequality (LMI) method, sufficient conditions are established that ensure the filter parameters are characterized by the solution to a set of LMIs. Simulation results are provided to illustrate effectiveness of the proposed method.

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Key Technologies of IoT Intelligent Sensing Terminal for Smart Energy

Key Technologies of IoT Intelligent Sensing Terminal for Sma...

引用

2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

作者： Liu, Siyang Mao, Yuxing Long, Yunfeng Pan, Jianyu Jiang, Tianyan Cao, Min State Key Laboratory of Power Equipment & System Security and New Technology School of Electrical Engineering Chongqing University Chongqing China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Electric Power Research Instute Yunnan Power Grid Co. Ltd. Yunnan Kunming China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

To build a smart energy system, we must first deploy a fully aware terminal layer to connect all energy things through perception. This paper proposes key technologies of IoT intelligent sensing terminal for smart energy. Firstly, smart energy Internet of things function is given to analyze the architecture for smart energy Internet of things. Analysis of Internet of Things terminal ecosystem is located. Finally, the key technologies including resource unified modeling, hardware and software system of Internet of things terminal are proposed. Customized design of intelligent sensing terminal is given to manufacture intelligent sensing terminal for different application scenarios of smart energy. © 2022 IEEE.

关键词： Internet of things

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Minimum entropy filtering for networked control systems via information theoretic learning approach

Minimum entropy filtering for networked control systems via ...

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作者： Zhang, Jianhua Cai, Lei Wang, Hong Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China North China Electric Power University Beijing 102206 China University of Manchester Manchester M60 1 QD United Kingdom

ISBN: (纸本)9780955529337

In this paper, a mmlmum entropy filter is presented for estimating states in networked control systems with multiple-packet transmission mechanism and non-Gaussian time-delay and noises. The filter is designed for nonlinear NeSs via information theoretic learning approach based on stochastic gradient algorithm. A numerical example is given to illustrate the effectiveness of the proposed scheme.

关键词： Networked control systems

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Robust control reconfiguration of resource allocation systems with Petri nets and integer programming

Robust control reconfiguration of resource allocation system...

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作者： Li, Jun Zhou, Mengchu Guo, Tao Gan, Yahui Dai, Xianzhong Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China School of Automation Southeast University Nanjing 210096 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States

Supervisory control reconfiguration can handle the uncertainties including resource failures and task changes in discrete event systems. It was not addressed to exploit the robustness of closed-loop systems to accommodate some uncertainties in the prior studies. Such exploitation can cost-efficiently achieve reconfigurability and flexibility for real systems. This paper presents a robust reconfiguration method based on Petri nets (PNs) and integer programming for supervisory control of resource allocation systems (RASs) subject to varying resource allocation relationships. An allocation relationship is seen as a control specification while the execution processes requiring resources as an uncontrolled plant. First, a robust reconfiguration mechanism is proposed. It includes updating the P-invariant-based supervisor and evolving the state of the closed-loop system. The latter adapts to the control specification changes by the self-regulation of the closed-loop system's state. Next, two novel integer programming models for control reconfiguration are proposed, called a reconfiguration model with acceptability and reconfiguration one with specification correction. Since both models integrate the firability condition of transitions, no additional efforts are required for the state reachability analysis. Finally, a hospital emergency service system is used as an example to illustrate them. © 2014 Elsevier Ltd. All rights reserved.

关键词： Integer programming

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Iterative learning control for processes with uncertain time delay using minimum entropy

Iterative learning control for processes with uncertain time...

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Asian control Conference

作者： Junghui Chen Chu Chih-Chiang Jose Munoz Jianhua Zhang Department of Chemical Engineering Chung Yuan Christian University Chungli Taiwan Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

ISBN: (纸本)9781424454402

In most batch processes, quality control measurements cannot be completed before the next batch operation. Thus, the corrective step is often delayed by one batch or more. The uncertain duration of delay with stochastic characteristics can be treated as a random variable of unknown distribution. Coupled with inaccurate process models, the delay may lead to significant process output variations even with EWMA controllers. This paper proposes a new method of handling the uncertain metrology delay and its ensuing complications. The run-to-run controller is designed based on minimization of error entropy, and the probability density function of the tracking error can be estimated by the historical operation data. The simulation example demonstrates the effectiveness of the proposed method.

关键词： Process control Delay effects Entropy Metrology control systems Error correction Stochastic processes Probability density function Industrial control Robust control

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Condition Monitoring and Fault Diagnosis of Coal Mill Based on Mechanism Modeling Simulation and D-S Evidence Fusion

Condition Monitoring and Fault Diagnosis of Coal Mill Based ...

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第34届中国控制与决策会议

作者： Tian Qiu Yuchen Yang Yue Guo Xiaofeng Chen Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University School of Control and Computer Engineering North China Electric Power University North China Electric Power Research Institute Co. Ltd

The coal mill is the key equipment of powdering system in coal-fired power plants,whose working state has an important influence on the combustion stability of boiler as well as the operation ***,owing to the lack of real fault data,it is difficult and not available enough to support and achieve the research of data-driven fault diagnosis ***-type medium-speed coal mill was selected as the research object in this ***,the existing mechanism model had been further improved to make it more effective and reasonable,and we used it to respectively simulate the typical operating data of the normal condition and three fault *** paper transformed the problem of fault diagnosis into the measurement of similarity between the testing and the typical fault samples,taking the numerical distance and changing trends into account,and adopted the concept of similarity function and transformed the results into the expression and calculation of probability level,which was calculated as the diagnostic evidence of individual parameters under the same time scale.D-S evidence theory was employed to fuse the individual evidence between multiple parameters evidence,getting the fusion of multiparametric evidence as to the final diagnosis ***,the experiments verified the high accuracy of the proposed diagnostic method,and the similarity function has high rationality and feasibility.

关键词： Coal Mill system Process Fault Dynamic Mathematical Model Similarity Function D-S Evidence Fusion Theory Fault Diagnosis

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Minimum entropy filtering for networked control systems via information theoretic learning approach

Minimum entropy filtering for networked control systems via ...

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International Conference on Modelling, Identification and control (ICMIC)

作者： Jianhua Zhang Lei Cai Hong Wang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China North China Electric Power University Beijing China University of Manchester Institute of Science and Technology Manchester UK

In this paper, a minimum entropy filter is presented for estimating states in networked control systems with multiple-packet transmission mechanism and non-Gaussian time-delay and noises. The filter is designed for nonlinear NCSs via information theoretic learning approach based on stochastic gradient algorithm. A numerical example is given to illustrate the effectiveness of the proposed scheme.

关键词： Radio access networks Noise

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Path planning of robotic fish based on genetic algorithm and modified dynamic programming

Path planning of robotic fish based on genetic algorithm and...

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International Conference on Advanced Mechatronic systems (ICAMechS)

作者： Qian Yang Mei Yu Shu Liu Zhong-ming Chai School of Control and Computer Engineering Electric Power University Beijing P. R. China Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Beijing P. R. China

In this paper, genetic algorithm and modified dynamic programming are applied to path planning of robotic fish for the first time. Using grid method to the environment modeling and applying genetic algorithm to the path planning, an optimal or sub-optimal robot path can be obtained. Since the robotic fish can't track linear motion, the robot path can be seen as several circular arc. Based on the optimal path obtained via genetic algorithm, modified dynamic programming algorithm is proposed to calculate the shortest circular arc path, fish velocity and direction in every step. Finally the experiment on the robotic fish control software shows the effectiveness of the proposed method.

关键词： Marine animals Robot kinematics Genetic algorithms Turning Path planning Dynamic programming

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