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作者： Wágner, Petr Department of Measurement and Control Faculty of Electrical Engineering and Informatics VŠB-Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9783902661418

This paper presents the computer image processing system for robot-soccer application. It presents and explains the main parts of robot-soccer image processing: image format conversion, pitch filtering, recognition of ball, recognition of color segments, and matching groups of segments with the robots. It also explains the main principles of image processing optimization: image data reduction, code optimization, and multi-core processors utilization. © 2009 IFAC.

关键词： Robots

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Reactor furnace control using artificial neural networks and genetic algorithm

Reactor furnace control using artificial neural networks and...

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International Conference on Applied Electronics, AE

作者： Petr Dolezel Jan Mares Faculty of Electrical Engineering and Informatics Department of Process Control University of Pardubice Pardubice Czech Republic Czech Republic

Reactor furnace control design is described in this paper. Reactor furnace, as controlled plant, is significantly nonlinear system and control objectives are strict. Thus, special control technique has to be applied. In this case, discrete PID controller tuned by artificial intelligence techniques is chosen. After reactor furnace description and first principle model derivation, the control method is closely defined. Then, nonlinear neural model of the furnace is designed and control loop is connected. Lastly, control performance is shown and compared to performance derived by conventional control method.

关键词： Inductors Furnaces Artificial neural networks Genetic algorithms Nonlinear control systems control systems control design Nonlinear systems Three-term control Artificial intelligence

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Robust Proportional-Integral control of a laboratory model using Programmable Logic controller SIMATIC S7-300

Robust Proportional-Integral control of a laboratory model u...

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6th IFAC Symposium on Robust control Design, ROCOND'09

作者： Matušů, Radek Vaneková, Katarína Prokop, Roman Bakošová, Monika Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Nad Stráněmi 4511 76005 Zlín Czech Republic Department of Information Engineering and Process Control Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 81237 Bratislava Slovakia

ISBN: (纸本)9783902661456

The main aim of the contribution is to present a possible approach to design of simple Proportional-Integral (PI) robust controllers and subsequently to demonstrate their applicability during control of a laboratory model with uncertain parameters through the Programmable Logic controller (PLC) SIMATIC S7-300 by Siemens Company. The proposed and utilized synthesis consists of two steps - the former one is a determination of controller parameters area, which ensures the robustly stable control loop and which is based on the computing/plotting the stability boundary locus while the latter one lies in the final choice of the controller itself relying on algebraic techniques. The basic theoretical parts are followed by laboratory experiments in which the 3rd order nonlinear electronic model has been successfully controlled in various working points. © 2009 IFAC.

关键词： Programmable logic controllers

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Machine Vision for Robot-Soccer Application

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IFAC Proceedings Volumes 2009年第1期42卷 161-166页

作者： Petr Wágner Department of Measurement and Control Faculty of Electrical Engineering and Informatics VŜB-Technical University of Ostrava Ostrava Czech Republic

关键词： image recognition robot-soccer debayering image segment recognition

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SMES MRI device - Alternative for ecological energy storage

SMES MRI device - Alternative for ecological energy storage

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作者： Molokac, S. Grega, L. Rybar, P. Rybarova, M. Technical University of Košice Faculty of Mining Ecology Process Control and Geotechnology Park Komenskeho 19 SK - 040 00 Kosice Slovakia Technical University of Košice Faculty of Electrical Engineering and Informatics Letna 9 SK-040 00 Kosice Slovakia

ISBN: (纸本)9781439817841

It is well known, that the electrical energy storage in the large scale is basically difficult process. Such a process is marked by the energy losses, as the conversion of electrical energy into another form is most frequently. Though, the superconducting magnetic energy storage (SMES) technology offers the energy storage in an unchanged form, which is advantageous primarily in the achieved efficiency. The magnetic resonance imaging (MRI) devices, commonly used in the medical facilities, there is possibility of using such ecological devices for energy storage purposes, after its rejection from operation. The paper gives a short review of current UPS and energy storage technologies, SMES applications and short section about a research project running at the faculty of Mining, Ecology, process control and Geotechnologies at Technical University in Kǒice, Slovakia, which deals with using rejected MRI for electrical energy storage and backup power supply purposes.

关键词： Magnetic resonance imaging

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Mathematica parallel computing. Some timing results on a intel nehalem multicore processor

Mathematica parallel computing. Some timing results on a int...

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10th International Symposium of Hungarian Researchers on Computational Intelligence and informatics, CINTI 2009

作者： Paláncz, Béla Kovács, Levente Department of Photogrammetry and Geoinformatics Faculty of Civil Engineering Budapest University of Technology and Economics Muegyetem rkp. 3 1111 Budapest Hungary Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar Tudósok krt. 2 H-1117 Budapest Hungary

1ome frequently employed algorithms in engineering, are parallel by nature (embarrasingly parallel algorithms) and some others can be parallelized via data parallelization. Algorithms like probability analysis, linear homotopy continuation method, Gauss-Jacobi combinatorial technique are belonging to the first group, while others like algorithms for digital image processing as well as reduced Groenber basis application to solving systems of polynomial equations fall into the other category. In this case study we illustrate how Mathematica can manage to evaluate such algorithms parallel on a multicore machine. The analysis of the efficiency of the computation and the net reduction of the execution time are presented by three examples as well as some useful tips are given to avoid pitfalls and utilize the advantages of parallel processing.

关键词： Monte Carlo methods

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Systematic analysis of the electric power and magnetic energy for linear electric and magnetic circuits with modifiable parameters

Systematic analysis of the electric power and magnetic energ...

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Eurocon

作者： Horia Andrei Fanica Spinei Ion Caciula Paul C. Andrei Control Systems and Computer Engineering Electrical Engineering Bucharest Polytechnic Institute Romania Radiating Systems Group Department of Applied Physics Faculty of Physics University of Bucharest Romania Romania Control Systems and Applied Informatics Valahia University of Targoviste Romania Department of Applied Informatics for Electrical Engineering Faculty of Electrical Engineering University of Bucharest Romania

The paper presents a new systematic analysis method in order to estimate the total absorbed power and energy in linear electric and magnetic circuits with modifiable parameters. The relation between the variation in one or all the resistances and reluctances of the networks and the variation of total absorbed power and energy are discussed using the Lagrange's method. For the considered applications the results are obtained with Mathematica and Maple useful for establishing the variation limits of absorbed power and energy.

关键词： Magnetic analysis Magnetic circuits Lagrangian functions Switching circuits H infinity control Stationary state Nonlinear systems

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Past and present of automatic glucose-insulin control research at BME

Past and present of automatic glucose-insulin control resear...

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10th International Symposium of Hungarian Researchers on Computational Intelligence and informatics, CINTI 2009

作者： Kovács, Levente Benyó, Balázs Benyó, Zoltán Kovács, Adalbert Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar Tudósok krt. 2 H-1117 Budapest Hungary Dept. of Mathematics University Politehnica of Timisoara P-ta Victoriei Nr. 2 RO-300006 Timişoara Romania

The paper reviews the research results in the field of automatic control of Type I diabetes mellitus obtained by the Biomedical engineering laboratory of the control engineering and Inforamtion Technology department, Budapest University of Technology and Economics (BME) in the last years. Beside the past, the present and the future ideas are also numbered.

关键词： Biomedical engineering

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Identification, Prediction and Detection of the process Fault in a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification, Prediction and Detection of the Process Faul...

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International Conference on Computer and electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering Sharif University of Technology International Campus Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

In this paper, we use nonlinear system identification method to predict and detect process fault of a cement rotary kiln. After selecting proper inputs and output, an input-output model is identified for the plant. To identify the various operation points in the kiln, Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. Then, by using this method, we obtained 3 distinct models for the normal and faulty situations in the kiln. One of the models is for normal condition of the kiln with 15 minutes prediction horizon. The other two models are for the two faulty situations in the kiln with 7 minutes prediction horizon are presented. At the end, we detect these faults in validation data. The data collected from White Saveh Cement Company is used for in this study.

关键词： Fault diagnosis Fault detection Kilns Production facilities electrical fault detection Fuzzy systems Delay estimation Nonlinear systems Predictive models Automation

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Identification of Nonlinear Predictor and Simulator Models of a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification of Nonlinear Predictor and Simulator Models o...

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International Conference on Computer and electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering International Campus Sharif University of Technology Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

One of the most important parts of a cement factory is the cement rotary kiln which plays a key role in quality and quantity of produced cement. In this part, the physical exertion and bilateral movement of air and materials, together with chemical reactions take place. Thus, this system has immensely complex and nonlinear dynamic equations. These equations have not worked out yet. Only in exceptional case; however, a large number of the involved parameters were crossed out and an approximation model was presented instead. This issue caused many problems for designing a cement rotary kiln controller. In this paper, we presented nonlinear predictor and simulator models for a real cement rotary kiln by using nonlinear identification technique on the Locally Linear Neuro-Fuzzy (LLNF) model. For the first time, a simulator model as well as a predictor one with a precise fifteen minute prediction horizon for a cement rotary kiln is presented. These models are trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. At the end, the characteristics of these models are expressed. Furthermore, we presented the pros and cons of these models. The data collected from White Saveh Cement Company is used for modeling.

关键词： Predictive models Kilns Computational modeling Power system modeling Production facilities Nonlinear control systems Chemical technology Nonlinear equations Automatic control process control

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