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2nd IET Renewable Power Generation Conference, RPG 2013

作者： Xiao, Yunqi Lv, Yuegang He, Guanju Liu, Juncheng Wang, Kunpeng School of Control and Computer Engineering North China Electric Power University Changping District Beijing 102206 China Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Changping District Beijing 102206 China

ISBN: (纸本)9781849197588

When wind farm accepts grid scheduling, target load needs to dispatch to each wind turbine to complete. In order to improve the power control capability of the wind farm in the case of random wind fluctuations, a wind farm power control strategy, based on wind wheel rotation energy storage of variable speed wind turbine, is proposed. Firstly, a wind turbine energy storage assessment model is established, and an energy storage state evaluation method, which considers the balance of wind turbine rotational energy and regulating ability, is proposed. Based on this, a mathematical model of wind farm energy storage optimum is pretended, and a solving strategy based on genetic algorithm is designed, too. Finally, the platform for the implementation of the proposed control strategy is introduced. The control strategy proposed in this paper can effectively enhance the ability of the wind turbines' power control and reduce the impact of the uncertainty wind speed to the power response of the wind farm.

关键词： Genetic algorithms

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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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Synthesis of Agomelatine by One-pot Catalytic Hydrogenation and Acetylation with NiO

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Journal of Wuhan University of technology(Materials Science) 2019年第2期34卷 453-458页

作者： YU Zhijun CHENG Zhengzai XIE Cong ZENG Sheng DENG Haiying LIU Panpan HU Hai LI Guangyao DING Ling Mario Gauthier LI Shiqian School of Medicine Wuhan University of Science and TechnologyWuhan 430065China Non-power Nuclear Technology Research and Development Center Hubei University of Science and TechnologyXianning 437100China The State Key Laboratory of Refractories and Metallurgy(Wuhan University of Science and Technology) Wuhan 430081China Coal Conversion and New Carbon Materials Hubei Key Laboratory School of Chemistry and Chemical EngineeringWuhan University of Science and TechnologyWuhan 430081China Key Laboratory of Measurement and Control System for Offshore Environment Fuqing Branch of Fujian Normal UniversityFuqing 350300China

Nano-NiO and bulk NiO were prepared from Ni(AC)_2·4 H_2O by coordination precipitation using aqueous ammonia and by a solid state reaction, respectively. The nickel oxide particles were characterized by X-ray Diffraction(XRD) and scanning electron microscopy(SEM). The results indicate that nano-sized NiO has a crystal phase with a standard face-centered cubic lattice structure, with a mean particle diameter of about 10 nm. The evaluation of the activity of nickel oxide nanoparticles in the catalytic hydrogenation of 7-methoxy-1-naphthylacetonitrile was carried out. The results demonstrate the efficient synthesis of the title compound by a one-pot catalytic hydrogenation and acetylation with NiO. The NiO nanoparticles displayed superior catalytic activity in the synthesis of agomelatine in the one-pot *** total yield of agomelatine is over 81.8% with a purity of 99.2%, as determined by HPLC. The structure of agomelatine was confirmed by IR, MS, and 1 H NMR analysis.

关键词： nano-NiO homogeneous precipitation method catalytic hydrogenation agomelatine N-[2-(7-Methoxy-1-naphthyl)ethyl]acetamide 7-Methoxy-1-naphthylacetonitrile

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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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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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Neural Networks control on Spraying Ammonia Flow of SCR system

Neural Networks Control on Spraying Ammonia Flow of SCR Syst...

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第28届中国控制与决策会议

作者： Ting-ting Yang Yang Gao Beijing Key Laboratory of new Technology and System on Measuring and Control for Industrial Process(North China Electricity Power University)

ISBN: (纸本)9781467397155

Spraying ammonia flow can influence the efficiency of boiler's flue gas denitrification device based on selective catalytic reduction(SCR) *** of spraying ammonia flow is very important for SCR system and traditional PID control can't get satisfactory control result because of the complexity and nonlinear of chemical reaction *** this paper,cascade neural network PID control was proposed to control spraying ammonia flow and momentum factor is applied to improve traditional BP neural network's convergence *** result shows that comparing with PID control the proposed scheme has better NOx control effect and anti-disturbance ability as well as less ammonia usage.

关键词： selective catalytic reduction(SCR) flue gas denitrification BP neural network

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Early Warning Method for Power Station Auxiliary Failure Considering Large-Scale Operating Conditions 2

Early Warning Method for Power Station Auxiliary Failure Con...

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2nd IEEE International Conference on Power and Energy Applications, ICPEA 2019

作者： Tingting, Yang Yang, Bai Weichun, Ge Huanhuan, Luo Guiping, Zhou You, Lv Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Beijing102206 China State Grid Liaoning Electric Power Supply CO. LTD Shenyang Liaoning Province110004 China

ISBN: (纸本)9781728115962

Large-scale deep variable load of thermal power units will increase the hidden trouble of auxiliary equipment failure. Timely detection of minor faults and early warning are conducive to the safe operation of units. With the large-scale deep variable load of units, the operating conditions of auxiliary equipment also change in a large range, and the operating parameters fluctuate in a large range, which directly affects the accuracy of fault early warning algorithm based on operation data. In order to solve this problem, this paper uses a multivariate state estimation technique (MSET) algorithm for fault early warning. Firstly, the cluster method is used to divide the operating conditions of units, and process memory matrix is constructed under different operating conditions for modeling and calculation. The simulation results show that compared with the traditional method using one process memory matrix this method significantly improves the accuracy of fault early warning. © 2019 IEEE.

关键词： State estimation

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Deep self-organizing map neural networks for plantar pressure image segmentation employing marr-hildreth features

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International Journal of Ambient Computing and Intelligence 2021年第4期12卷 1-21页

作者： Han, Jianlin Wang, Dan Li, Zairan Shi, Fuqian Glorious Sun Guangdong School of Fashion Huizhou University Huizhou China Huidong Shoes Science and Technology Innovation Center Huizhou China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University China Wenzhou Polytechnic Wenzhou China Rutgers Cancer Institute of New Jersey New Brunswick United States

Using the plantar pressure imaging analysis method to realize the optimization design of shoe last is still relatively preliminary. The analysis and utilization of imaging data still have problems such as single processing, incomplete information acquisition, and poor processing model robustness. A deep self-organizing map neural network based on Marr-Hildreth filter (dSOM-wh) is developed in this research. The structure and learning algorithms were optimized by learning vector quantization (LVQ) and count propagation (CP). As a kind of Marr-Hildreth filter, Laplacian of Gaussian (LoG) was developed for the preprocessing. The proposed method performed high effectiveness in accuracy (AC) (92.88%), sensitive (SE) (0.8941), and f-measurement (F1) (0.8720) by comparing with ANN, CNN, SegNet, ResNet, and pre-trained inception-v neural networks. The classification-based plantar pressure biomedical functional zoning technologies have potential applications in the comfort shoe production industry. Copyright © 2021, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

关键词： Image segmentation

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A Flexible Antenna Array Design for Microwave Energy Transmission 17th

A Flexible Antenna Array Design for Microwave Energy Transmi...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Chen, Jinghan Guo, Siwei Nie, Yongjie Liu, Siyang Wang, Ping State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Yunnan Power Grid Co. Ltd. Kunming China

ISBN: (纸本)9789819904075

Microstrip antenna as a kind of receiver front-end equipment of microwave energy transmission system, which plays an important role on the overall transmission efficiency of the system. Conventional solid metal antennas have poor mechanical properties and are susceptible to plastic deformation and cracks under external forces, which will degrade their performance. Gallium-indium alloy (EGaIn), which is liquid at room temperature, has similar electrical properties to copper and can recover itself after bending, which can make up for the shortcoming of solid-state antennas;Polyethylene naphthalate two formic acid glycol ester (PEN) is an organic polymer material, which has similar electrical properties and superior mechanical properties to conventional materials. Based on the above two materials, this paper proposes a microstrip antenna array based on flexible materials, which can endure a wide range of mechanical deformation and has better ductility and mechanical toughness. The simulation results indicate that the proposed antenna array can operate at 2.45 Hz and achieve 90% efficiency of conventional antennas, which can better meet the demand of microwave energy transmission. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Microstrip antennas

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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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