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检索条件"作者=Zhang Jianqiang Department of power engineering,north{3. electric power university,Beijing 102206,{3."

共 3772 条记录，以下是21-30 订阅

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Observer Based Delay-Dependent Robust H∞ Control of Nonlinear Uncertain Systems with State and Input Delays

Observer Based Delay-Dependent Robust H∞ Control of Nonline...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Miaoxin Wang is with the School of Control and Computer engineering,north China electric {3. university,beijing,102206,China.Xinzhi Liu is with the department of Applied Mathematics,university of Waterloo,Waterloo,Ontario,Canada,N2L3.1.Jizhen Liu is with the School of Control and Computer engineering,north China electric {3. university,beijing,102206,China.Miaomiao Ma is with the School of Control and Computer engineering,north China electric {3. university,beijing,102206,China

Observer-based delay-dependent robust H∞ controller design problem for state and input time-delays systems with a class of nonlinear uncertainties is discussed in this *** that the nonlinear uncertain functions in the considered model are gain-bounded,we obtain a sufficient condition for robustly asymptotic stability and H∞ performance of the closed-loop system in the light of Lyapunov stability *** solving a pair of linear matrix inequalities （LMIs）,we construct delay-dependent state feedback control law which guarantees robustly asymptotic stability of the closed-loop system and reduce the effect of the disturbance input on the controlled output to a prescribed *** delay-bounds and the H∞ performance bound can be optimized.A numerical example is given to illustrate our results.

关键词： Nonlinear uncertain systems State and input delays Delay-dependent Robust H∞ control Observer LMI

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Real-coding Genetic Algorithm-based Model Identification for Bed Temperature of 3.0MW CFB Boiler

Real-coding Genetic Algorithm-based Model Identification for...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Guolian Hou,Professor in the School of Control and Computer engineering,north China electric {3. university,Changping District,beijing,102206,CHINA.Yuanyuan zhang,School of Control and Computer engineering,north China electric {3. university,Changping District,beijing,102206,CHINA.Jianhua zhang,Professor in the School of Control and Computer engineering,north China electric {3. university,Changping District,beijing,102206,CHINA.

This paper proposed that an improved genetic algorithm based on real-coding,multi-operators cooperation and rank-based selection of crossover and mutation *** algorithm has better ability to search the global optimum result,and applies to identify the model of 3.0MW circulating fluidized bed boiler in order to acquire the accurate transfer *** study is conducted to highlight the model of bed temperature and its effect factors.

关键词： Real-coding genetic algorithm 3.0MW CFB boiler bed temperature transfer function

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Application of Chaotic Particle Swarm Optimization in the Short-term electricity Price Forecasting

Application of Chaotic Particle Swarm Optimization in the Sh...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Jianhua zhang:School of Control and Computer engineering,north China {3. power university,Changping District,beijing 102206,China..Changhai Yu:School of Control and Computer engineering,north China {3. power university,Changping District,beijing 102206,China.Guolian Hou:School of Control and Computer engineering,north China {3. power university,Changping District,beijing 102206,China.

The market-oriented reform of the electric power industry is a trend around the world,electricity price issues are the key problems in the power markets and how to price the special commodity-electricity is essential for the smooth market *** price forecasting provides crucial information for electricity market participants to make reasonable competing strategies,which is related to the position and benefit of the market *** using the relative historic data in predicting the future electricity price is a very meaningful *** comprehensive considerations of the fluctuation rules and the various influencing factors on the forming of price in the power market,a short-term electricity price forecasting method based on the time series ARMAX model was chosen in this *** to solve the problem with traditional method of parameter identification which is easy to fall into the local least values and has low identification precision,chaotic particle swarm optimization （CPSO） algorithm was proposed in this *** example shows that this method can reflect the law of the development of the electricity price well and improve forecasting accuracy greatly.

关键词： Short-term electricity price forecasting ARMAX model Chaotic particle swarm optimization algorithm

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IMPROVING GEAR SIGNALS ANALYSIS METHODS FOR RADIAL BASIS FUNCTION NEURAL NETWORK AUTOMATIC RECOGNITION

IMPROVING GEAR SIGNALS ANALYSIS METHODS FOR RADIAL BASIS FUN...

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2006年中国机械工程学会年会暨中国工程院机械与运载工程学部首届年会

作者： SUN Fang, LIU Yi Bing department of Automation, north China electric {3. university, beijing, China 102206

Automatic gear signals recognition suffers from lower performance in noisy and modulating conditions. The cepstrum is sensitive to the changes in the gear signals environment. But the cepstrum does no

关键词： Signal analysis cepstrum analysis fault diagnosis gear vibration signal wavelet packet Hilbert cepstrum coefficients (WPHCC).

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Probability Density Function Predictive Control Based on the Rational Square-root B-spline Model

Probability Density Function Predictive Control Based on the...

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2009中国控制与决策会议

作者： Jinfang zhang,Wei Wang,Jianhua zhang,Guolian Hou department of Automation,{3. China electric power university,beijing,China 102206

＜正＞A predictive control algorithm for probability density function（PDF） is presented based on the rational square-root B-spline based PDF *** rational square-root PDF model is studied first,based on the analysis of the relationship between the pseudo weight and the actual weight,the rational square-root B-spline model can be easily set up;then the predictive model is deduced;a performance index is chosen next to design the predictive controller;and simulation study is performed for the molecular weight distribution（MWD） control of a styrene polymerization process to test the validity of the predictive control algorithm.

关键词： probability density function(PDF) pseudo-weight predictive control rational square-root B-spline model molecular weight distribution(MWD)

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A Novel IMC Cascade Control Structure of Super-heated Steam Temperature System for Super-critical Coal-fired Boilers

A Novel IMC Cascade Control Structure of Super-heated Steam ...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Le Wei is with the department of Automation,north China electric {3. university,Hebei Baoding 071003.China Fang Fang is with the School of Control and Computer engineering,north China electric {3. university,beijing 102206,China

Super-heated steam temperature control system is very important for the safe and economic operation of super-critical coal-fired *** on internal model control （IMC） method,a novel super-heated steam temperature control structure is *** this structure,two internal model controllers are cascaded to guarantee the accuracy and disturbance rejection performance of whole *** parameters tuning steps of the two controllers are also *** verify the effectiveness,three simulation tests are *** simulation results show that the proposed structure has good tracking,anti-disturbance and load adaptability performances.

关键词： Internal model control Super-heated steam temperature Cascade control structure Super-critical coal-fired boiler

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Control Unit of the Directional Drilling System

Control Unit of the Directional Drilling System

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2009中国控制与决策会议

作者： Yang Yiyong~1,Liu Baolin~1,Zheng kai~2,Zheng Dianfeng~3.Cui Jian~1 1.School of engineering and Technology,China university of Geosciences(beijing),beijing 100083.China 2.School of Energy and power engineering,north China electric power university,beijing 102206,China 3.department of Energy and Resources engineering,beijing university,beijing,100084

＜正＞Rotary steerable systems（RSS） permit downhole directional control whilst continuously drilling in rotary ***-steerable systems possess clear advantages both technologically and *** control principle of the servo platform in directional drilling system was studied.A control system composed of eccentric cam, dynamotors,platform control axis and electronic storehouse was *** inclination of wells was measured using acceleration sensors and a gyroscopes *** results show that the platform could keep itself stabilized and has good controllable and visible ***,the system still has good tracing capacity when the drilling parameters change in a wide range.

关键词： Directional drilling Eccentric cam Servo platform Control principle

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Application of GA for Three-area power System after Deregulation with Valve Position Limit

Application of GA for Three-area Power System after Deregula...

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第24届中国控制与决策会议

作者： Guolian Hou, Xinyan Zheng, Lina Qin, Jianhua zhang north China electric {3. university, beijing 102206

In recent years, electric power industry has been moving towards a deregulated framework all over the world. Many problems have appeared in the new situation. The valve position limit exhibits nonlinear character in the deregulated environment. In this work, distribute companies participation matrix （DPM） is brought in to analyze the effect of the DPM to the dynamic performance of the system. T-S model is proposed to construct valve position nonlinear constraint. Real-coded GA is used and the initial population is obtained by uniform sampling. It takes less time than the common algorithm. The simulation results of the three-area power system are then introduced to demonstrate the validity of the results.

关键词： Automatic generation control Genetic algorithm Nonlinear unit DISCO Participation Matrix

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Constrained Predictive Control Based on State Space Model of Organic Rankine Cycle System for Waste Heat Recovery

Constrained Predictive Control Based on State Space Model of...

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第24届中国控制与决策会议

作者： Jianhua zhang * , Yeli Zhou, Song Gao, Guolian Hou School of Control and Computer engineering, north China {3. power university, beijing 102206

Due to the advantages of recovering energy from low-grade heat sources, Organic Rankine Cycle （ORC） system is adopted as the primary technology for waste heat recovery. As the ORC system is a multivariable system with high complexity and nonlinear coupling, the conventional control strategy may not achieve satisfactory results. In this paper, the application of constrained model predictive control （MPC） for an ORC system is demonstrated. The simulation results are given to illustrate the efficiency and feasibility of the proposed control strategy.

关键词： Organic Rankine Cycle Multivariable control Constrained predictive control

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Modified Fuzzy Adaptive PID Algorithm and Its Application in power Plant

Modified Fuzzy Adaptive PID Algorithm and Its Application in...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Hou Guo-lian:Professor in the School of Control and Computer engineering,north China electric {3. university,Changping District,beijing 102206,China.Hou Qian:School of Control and Computer engineering,,north China electric {3. university,Changping District,beijing 102206,China.zhang Jian-hua:Professor in the School of Control and Computer engineering,north China electric {3. university,Changping District,beijing 102206,China.

The characteristics of thermal plant are nonlinearity,time variation and uncertainty during variable *** is difficult to obtain the satisfying control effect with traditional PID *** order to solve this problem,a modified fuzzy adaptive PID control algorithm is proposed in the *** method is attained by optimizing the traditional fuzzy PID control algorithm based on analysis of the thought of changing universe and online *** the premise of unchanging rules number,make whole universe changes in synchronization with error change,and online adjust the fuzzy PID *** the fuzzy rules of proposed controller are online dynamic adjustment.A series of simulation are *** simulation results indicate that,compared with conventional PID control method,the proposed method can not only shorten the step input response time,but also have stronger adaptive capability to the unknown disturbance,parameter time variable character and nonlinear of the *** proposed algorithm can obtain satisfactory dynamic and stationary performances.

关键词： Adaptive Control Modified Fuzzy PID power Plant

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