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European control Conference (ECC)

作者： P.F. Odgaard J. Stoustrup B. Mataji KK-Electronc Aalborg University during the research for this paper Aalborg East Denmark Section of Automation and Control Aalborg University Aalborg East Denmark Dong Energy A/S Fredericia Denmark

Coal mills pulverize and dry the coal dust before it is blown into the furnace in coal-fired power plants. The coal mills can only deliver the requested coal flow if certain conditions are fulfilled. These are normally considered as constraints on individual variables. However, combinations of more than one variable might cause problems even though these individually variables are in an acceptable region. This paper deals with such a problem. The combination of a high load of the power plant, a large load change and high moisture content in the coal, can force the coal mill into a state where coal is accumulated instead of being blown into the furnace. This paper suggests a simple method for preventing the accumulation of the coal in the mill, by limiting the requested coal flow considering the coal moisture content and the temperature outside the mill.

关键词： Coal Moisture Temperature measurement Furnaces Heating Power generation

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NONLINEAR NETWORK STRUCTURES FOR FEEDBACK control

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Asian Journal of control 2008年第4期1卷

作者： F.L. Lewis Dept. of Electical Engineering The University of Texas at Arlington U.S.A. F. L. Lewis was born in Wärzburg. Germany subsequently studyning in Chile and Goruonstoun School in Scotland. He obtained the Bachelor's Degree in Physics/Electrical Engineering and the Master's of Electrical Engineering Degree at Rice University in 1971. He spent six years in the U.S. navy serving as Navigator aboard the frigate USS Trippe (FF-1075) and Executive Officer and Acting Commanding Officer aboard USS Salinan (ATF-161). In 1977 he received the Master's of Science in Aeronautical Engineering from the University of West Florida. In 1981 he obtained the Ph.D. degree at The Georgia Institute of Technology in Atlanta where he was employed as a professor from 1981 to 1990 and is currently an Adjunct Professor. He is a Professor of Electrical Engineering at The University of Texas at Arlington where he was awarded the Moncrief-O'Donnell Endowed Chair in 1990 at the Automation and Robotics Research Institute. Dr. Lewis has studied the geometric analytic and structural properties of dynamical systems and feedback control automation. His current interests include robotics intelligent control neural and fuzzy systes nonlinear systems and manufacturing process control. He is the author/co-author of 2 U.S. patents 124 journal papers 20 chapters and encyclopedia articles 210 refereed conference papers seven books: Optimal Control Optimal Estimation Applied Optimal Control and Estimation Aircraft Control and Simulation Control of Robot Manipulators Neural Network Control High-Level Feedback Control with Neural Networks and the IEEE reprint volume Robot Control. Dr. Lewis is a registered Professional Engineer in the State of Texas and was selected to the Editorial Boards of International Journal of Control Neural Computing and Applications and Int. J. Intelligent Control Systems. He is the recipient of an NSF Research Initiation Grant and has been continuously funded by NSF since 1982. Since 1991 he has received $1.8 m

A framework is given for controller design using Nonlinear Network Structures, which include both neural networks and fuzzy logic systems. These structures possess a universal approximation property that allows them to be used in feedback control of unknown systems without requirements for linearity in the system parameters or finding a regression matrix. Nonlinear nets can be linear or nonlinear in the tunable weight parameters. In the latter case weight tuning algorithms are not straightforward to obtain. Feedback control topologies and weight tuning algorithms are given here that guarantee closed-loop stability and bounded weights. Extensions are discussed to force control, backstepping control, and output feedback control, where dynamic nonlinear nets are required.

关键词： Intelligent feedback control neural networks neural network structures basis function networks fuzzy control fuzzy-neural networks universal approximation adaptive nonparametric control learning control systems

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A Design of 15 kW Switched Reluctance Motor for Electric Vehicle Applications

A Design of 15 kW Switched Reluctance Motor for Electric Veh...

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International Conference on Electrical Machines and Systems 2007(ICEMS2007)(第十届国际电机与系统会议)

作者： P. Jitkreeyarn K. Tungpimolrut S. Kachapornkul P. Somsiri Tadashi Fukao Akira Chiba Industrial Control and Automation Laboratory Section National Electronics and Computer Technology C Department of Electrical Engineering Faculty of Science and Technology Tokyo University of Science

In this paper, a design of the 3-phase, 6-stator-pole and 4-rotor-pole, 15 kW switched reluctance motor for the propulsion system of the electric vehicle is presented. Its performance such as the torque per volume and... 详细信息

关键词： Switched reluctance motor motor design electric vehicle

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Design of a vision-based sensor for autonomous pig house cleaning

Design of a vision-based sensor for autonomous pig house cle...

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作者： Braithwaite, Ian Blanke, Mogens Zhang, Guo-Qiang Carstensen, Jens Michael Automation Section Ørsted-DTU Technical University of Denmark 2800 Kongens Lyngby Denmark Danish Institute of Agricultural Sciences Research Centre Bygholm P.O. Box 536 8700 Horsens Denmark Informatics and Mathematical Modelling Technical University of Denmark 2800 Kongens Lyngby Denmark Technical University of Denmark Department of Automation Technical University of Denmark IFAC International Federation of Automatic Control IEEE Danish Institute of Agricultural Sciences China Agricultural University Danish Society of Engineers Danish Society of Agricultural Engineering European Agricultural Engineering Technical University of Denmark

Current pig house cleaning procedures are hazardous to the health of farm workers, and yet necessary if the spread of disease between batches of animals is to be satisfactorily controlled. Autonomous cleaning using robot technology offers salient benefits. This paper addresses the feasibility of designing a vision-based system to locate dirty areas and subsequently direct a cleaning robot to remove dirt. Novel results include the characterisation of the spectral properties of real surfaces and dirt in a pig house and the design of illumination to obtain discrimination of clean from dirty areas with a low probability of misclassification. A Bayesian discriminator is shown to be efficient in this context and implementation of a prototype tool demonstrates the feasibility of designing a low-cost vision-based sensor for autonomous cleaning.

关键词： Computer vision

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Special section on manoeuvering control of marine craft

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control ENGINEERING PRACTICE 2003年第4期11卷 413-414页

作者： Blanke, M Poursanjani, MMA Vukic, ZZ Section of Automation at Oersted Technical University of Denmark DTU Elektrovej Building 326 2800 Lyngby Denmark Southampton Institute East Park Terrace SO14 0YN Southampton UK Department of Control and Computer Engineering University of Zagreb Unska 3 10000 Zagreb Croatia

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3-D flame temperature field reconstruction with multiobjective neural network

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Chinese Optics Letters 2003年第2期1卷 78-81页

作者：万雄高益庆汪元美 Institute of Automation of Nanjing University of Aeronautics and Astronautics Nanjing 210016 Department of Test and Control Engineering Nanchang Institute of Aeronautical Technology Nanchang 330034 Department of Test and Control Engineering Nanchang Institute of Aeronautical Technology Nanchang 330034 Department of Test and Control Engineering Nanchang Institute of Aeronautical Technology Nanchang 330034 novel 3-D temperature field reconstruction method is proposed in this paper which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength thermometry is founded and a neural network algorithm based on multiobjective optimization is developed. Through computer simulation and comparison with the algebraic reconstruction technique (ART) and the filter back-projection algorithm (FBP) the reconstruction result of the new method is discussed in detail. The study shows that the new method always gives the best reconstruction results. At last temperature distribution of a section of four peaks candle flame is reconstructed with this novel method.

A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength thermometry is founded, and a neural network algorithm based on multiobjective optimization is developed. Through computer simulation and comparison with the algebraic reconstruction technique (ART) and the filter back-projection algorithm (FBP), the reconstruction result of the new method is discussed in detail. The study shows that the new method always gives the best reconstruction results. At last, temperature distribution of a section of four peaks candle flame is reconstructed with this novel method.

关键词： Mathematical models Neural networks Spectrum analysis

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Structural analysis for diagnosis - The matching problem revisited 15th

Structural analysis for diagnosis - The matching problem rev...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Izadi-Zamanabadi, Roozbeh Blanke, Mogens Dept. of Control Engineering Aalborg University AalborgDK-9220 Denmark Section of Automation Oersted-DTU Technical University of Denmark LyngbyDK-2800 Denmark

ISBN: (纸本)9783902661746

Aiming at design of algorithms for fault diagnosis, structural analysis of systems offers concise yet easy overall analysis. Graph-based matching, which is the essential technique to obtain redundant information for diagnosis, is re-considered in this paper. Matching is re-formulated as a problem of relating faults to known parameters and measurements of a system. Using explicit fault modelling, minimal over-determined subsystems are shown to provide necessary redundancy relations from the matching. Details of the method are presented and a realistic example used to clearly describe individual steps. Copyright © 2002 IFAC.

关键词： Structural analysis

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STRUCTURAL ANALYSIS FOR DIAGNOSIS - THE MATCHING PROBLEM REVISITED

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IFAC Proceedings Volumes 2002年第1期35卷 365-370页

作者： Roozbeh Izadi-Zamanabadi Mogens Blanke Dept. of Control Engineering Aalborg University DK-9220 Aalborg Denmark Section of Automation at Oersted-DTU Technical University of Denmark DK-2800 Lyngby Denmark

关键词： Structural analysis fault diagnosis FDI autonomous systems

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Measurement of parameters for the quality control of X-ray units by using PIN diodes and a personal computer

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AIP Conference Proceedings 2000年第1期538卷 196-200页

作者： F. Ramı́rez E. Gaytán I. Mercado M. Estrada A. Cerdeira 1Laboratory of Radiation Detectors Instituto Nacional de Investigaciones Nucleares (ININ) 2Control and Automation Department ININ 3Medicine Faculty UAEM 4Solid State Electronic Section CINVESTAV A.P. 19-1027 México 11801 D.F

The design of a new system for the measurement of the main parameters of X-ray units used in medicine is presented. The system measures automatically the exposure time, high voltage applied, waveform of the detected signal, exposure ratio and the total exposure (dose). The X-ray detectors employed are PIN diodes developed at CINVESTAV, the measurements are done in one single shot, without invasion of the X-ray unit. The results are shown in the screen of the computer and can be saved in a file for later analysis. The proposed system is intended to be used in the quality control of X-rays units for clinical radio-diagnosis. It is a simple and inexpensive equipment if compared with available commercial equipment that uses ionization chambers and accurate electrometers that small facilities and hospitals cannot afford.

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A complexity theoretic perspective on robustness analysis

A complexity theoretic perspective on robustness analysis

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Guidance, Navigation, and control Conference, 1997

作者： Mesbahi, M. Jet Propulsion Laboratory California Institute of Technology PasadenaCa91109-8099 United States Guidance and Control Analysis Group Automation and Control Section United States

Let δΣbe a measure of the relative stability of a stable dynamical system Σ defined over the ndimensional Euclidean space. Let TA(Σ)be a measure of the computational efficiency of a particular algorithm A which verifies the stability property of Σ by computing a certificate of stability P. We demonstrate the existence of a particular measure Σs and an algorithm A such that, δΣTA(Σ)= O(n). In addition, we show that 6% determines the size of the certificate P. These results provide the foundation for an algorithmic theory of stability and robustness. © 1997 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Computational efficiency

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