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检索条件"机构=Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System"

共 62 条记录，以下是31-40 订阅

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Generalized predictive control for wind turbine systems

Generalized predictive control for wind turbine systems

引用

IEEE Conference on industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Hua Wang Guolian Hou Jinfang Zhang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

ISBN: (纸本)9781424450459;9781424450466

It is difficult to deal with the variable speed constant frequency (VSCF) wind turbine systems due to the stochastic characteristics and the pneumatic effects of wind. In this paper, a new pitch controller based on generalized predictive control theory is designed to improve the power-output quality of variable speed constant frequency wind turbines. An application to a 300MW wind turbines is given, and simulation results show that the proposed method is effective in wind speed interference suppression and constant out power.

关键词： Predictive control Wind turbines Mathematical model Wind speed Power system modeling Rotors Shafts Wind power generation Frequency Wind energy generation

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

Network-based reliable H∞ filter designing for the systems ...

引用

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

ISBN: (纸本)9780955529337

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.

关键词： Continuous time systems

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Wind farm power optimum dispatching strategy for variable-speed wind turbine based on rotating energy storage

Wind farm power optimum dispatching strategy for variable-sp...

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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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Dynamic characteristics and predictive control for Organic Rankine Cycle

Dynamic characteristics and predictive control for Organic R...

引用

IEEE Conference on industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Ying Li Zhuofei Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University NCEPU Beijing China

Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance.

关键词： Mathematical model Fluids Predictive models Heat recovery Equations Predictive control Waste heat

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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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A Minimized Zero Mean Entropy Approach to Networked control systems

A Minimized Zero Mean Entropy Approach to Networked Control ...

引用

Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Jianhua Zhang Hong Wang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Control Systems Centre The University of Manchester

A novel control method is proposed for networked control systems with nonlinear process,probably non-Gaussian process noise and time *** performance index of closed loop control system consists of entropy,mean value and control energy *** stochastic control methods for networked control systems are given under the same general *** method utilizes gradient optimal techniques to obtain an optimal control law,and the stability of closed loop systems is *** other method gives the optimal solution of control law *** implementation issues are *** sliding window techniques and non-parametric probability density function estimation techniques are employed to obtain the entropy of tracking error *** a result,the controller can be on-line ***,the methodology is illustrated by simulations.

关键词： Gaussian A Minimized Zero Mean Entropy Approach to Networked control systems

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Neural based PID control for networked processes

Neural based PID control for networked processes

引用

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

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

引用

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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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

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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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