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2011 IEEE International Conference Mechatronics and Automation(2011 IEEE机电一体化与自动化国际会议)

作者： Qiuyan Wang Jie Ma Xiaoli Xu Department of Automation Beijing Information Science and Technology University Beijing 100192 China Key Laboratory of Modern Measurement & Control Ministry of Education Beijing Information Science and

In this paper, a multivariate fault prognosis approach based on statistical process monitoring (SPM) methods and time series prediction for turbine machine was proposed. A principal component analysis (PCA) model using sample data under normal state was built Firstly, fault is detected by squared prediction error (SPE) index, then predicted by AR model. With development of fault process, the SPE will produce a corresponding change and carry important fault information , so calculate statistics of SPE can be characterized and predict the trend of fault and level. A case study on the huge stack gas turbine shows the efficiency of the proposed approach.

关键词： fault prognosis statistical process monitoring principal component analysis squared prediction error AR model

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Matching decision model for self- adaptability of knowledge manufacturing system

Matching decision model for self- adaptability of knowledge ...

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International Conference on Information Science and technology (ICIST)

作者： Yufang Wang Hongsen Yan Xiangang Meng School of Information & Control Engineering Nanjing University of Information Science and Technology Nanjing Jiangsu China Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education South-East University Nanjing Jiangsu China

ISBN: (纸本)9781424494408

Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturing mode and changed production environment factors. In this paper, a matching decision model for self-adaptability of knowledge manufacturing system based on the fuzzy neural network is proposed. The changed production environment factors are regarded as linguistic variable inputs. A modified momentum factor B-P algorithm consisting of information feed-forward process and the error back-propagation process is used. The proposed FNN model is employed to evaluate the matching degree of a car-lamp production manufacturing mode to variable environment units. Matching result indicates adaptive degree of manufacturing system. Experiment result demonstrates the method is effective.

关键词： Production Manufacturing Fuzzy neural networks Neurons Training Artificial neural networks Fuzzy control

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A Solution of Orphan Problem in ZigBee Tree Network

A Solution of Orphan Problem in ZigBee Tree Network

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Xiu-Wei Yang Yuan Xu Shu-Bo Qiu Shandong Province Key Laboratory of Advanced Manufacturing and Measurement & Control Technology for Light Industry Equipment Shandong Polytechnic University Jinan China School of Instrument Science and Engineering Southeast University Nanjing China

In order to solve the problem that the coverage area of ZigBee tree network is restricted by the depth, so that new nodes can not join the network and become a orphan, this paper introduces a project of expanding network coverage area. In this project, through the manual of the button, we can choose a qualified end device to convert to the router configuration, then the device as a router receives new nodes to join the network, The requirement would be realized by improving and innovating ZigBee protocol stack. The project works well in the experiment, it saves the device energy and expands the scope of network.

关键词： Zigbee Routing Performance evaluation Routing protocols Wireless sensor networks Computers

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Invertibility of power systems components based-on nonlinear differential-algebraic-equation subsystems model

Invertibility of power systems components based-on nonlinear...

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Chinese control Conference (CCC)

作者： Qiang Zang Ying Zhou Kaifeng Zhang Xianzhong Dai School of Information and Control Engineering Nanjing University of Information Science & Technology 210044 China College of Automation Nanjing University of Posts and Telecommunications 210003 China Key Laboratory of Measurement and Control of CSE (School of Automation Southeast University) Ministry of Education Nanjing 210096 China

Components of power systems are essentially a special class of nonlinear differential-algebraic equations subsystems, whose index is one and interconnection is local measurable. In this paper, the invertibility of power systems components is discussed. Firstly, the definition of invertibility is presented. Secondly, a recursive algorithm is proposed to judge whether the controlled components are invertable. Then a physically feasible right inverse controller is constructed with which the controlled components are made linearization and decoupled. Finally, an excitation controller is designed for one synchronous generator within multi-machine power systems based on the proposed method in this paper.

关键词： Electronic mail Power system stability Educational institutions Automation Mathematical model Equations

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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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The Wireless Sensor Network Construction of the Photovoltaic Power System Zig Bee

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Procedia Engineering 2011年 15卷 2511-2515页

作者： Xu Xiaoli Wang Huan Key Laboratory of Modern Measurement & Control Technology (Beijing Information Science & Technology University) Ministry of Education 12 East Qinghexiaoying streetBeiJing 100192 P. R. China Beijing Institute of Technology 5 South Zhongguancun Street Haidian District Beijing 100081 P. R. China

Solar photovoltaic power generation is a way to utilize the solar energy. Power station monitoring system is ought to be established to maintain the safe and reliable operation of the photovoltaic system and to detect and solve the malfunctions promptly. The monitoring data of the photovoltaic power monitoring system is composed of environmental data, the related data of photovoltaic battery array and relevant data of inverter. The collection, preprocessing and wireless transmission of data are done by ZigBee, the wireless sensor network. The wireless network panel point of ZigBee is divided into FFD (Full Function Device) and RFD (Reduced Function Device), each of which has its own functions. It can conveniently collect surrounding environment information and status data of photovoltaic power on unattended conditions by ZigBee.

关键词： Photovoltaic Power Generation ZigBee RFD FFD

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Research on consensus control for a class of high-order multi-agent systems

Research on consensus control for a class of high-order mult...

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作者： Zhang, Wenguang Guo, Zhenkai Beijing Key Laboratory of Measurement and Control New Technology and System for Industrial Process School of Control and Computer Engineering North China Electric Power University Beijing 102206 China School of Mathematics and Information Ludong University Yantai 264205 China

ISBN: (纸本)9789881725592

This paper researches the consensus problem of high-order multi-agent systems. A new dynamic neighbor-based protocol is proposed which contains two parts, one is the local feedback and the other is the distributed feedback of the first states of each agent. Sufficient conditions are derived for state consensus of the system. Finally, simulation results are shown the effectiveness of the obtained results. © 2011 Chinese Assoc of Automati.

关键词： Multi agent systems

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Neural based PID control for networked processes

Neural based PID control for networked processes

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International Symposium on Advanced control of Industrial Processes (ADCONIP)

作者： J. Chen N. Cheng J. 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 National Institute for Standards and Technology Boulder CO USA

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.

关键词： Process control Delay Artificial neural networks control systems Stochastic processes Inductors Entropy

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Study on Echo Time-Delay Estimation of Pulsed Laser Fuze

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Journal of Beijing Institute of technology 2010年第3期19卷 264-267页

作者：郭华玲邓甲昊桑会平蔡克荣 National Key Laboratory for Mechatronics Engineering and Control Beijing Institute of Technology National Key Laboratory for Electronic Measurement Technology North University of China

Pulse laser range detector is to measure the distance by estimating the time delay between the emitting pulse and echo *** this paper,a mathematical model for the target echo signal of laser fuze has been established;in accordance with this model,the formulas for echo time-delay estimation and for amplitude estimation based on least squares criterion have been *** is argued and simulated that the resolution of echo time-delay estimation could be improved through multi-reference correlation *** illustrate that the approach enables pulsed laser fuze to perform high-precision ranging under a low signal-to-noise ratio condition.

关键词： laser ranging technology echo time-delay estimation least squares criterion multi-reference correlation

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Invertibility of power systems components based-on nonlinear differential-algebraic-equation subsystems model

Invertibility of power systems components based-on nonlinear...

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作者： Zang, Qiang Zhou, Ying Zhang, Kaifeng Dai, Xianzhong School of Information and Control Engineering Nanjing University of Information Science and Technology Nanjing 210044 China College of Automation Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Laboratory of Measurement and Control of CSE Southeast University Ministry of Education Nanjing 210096 China

ISBN: (纸本)9789881725592

关键词： Algebra

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