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作者： Blahová, Lenka Dvoran, Ján Department of Information Engineering and Process Control Institute of Information Engineering Automation and Mathematics Slovak University of Technology in Bratislava Radlinského 9 812 37 Bratislava Slovakia

ISBN: (纸本)9789604741991

This paper presents the control design via the combination of the neural predictive controller and the neurofuzzy controller. The neuro-fuzzy controller type of ANFIS works in parallel with the neural predictive controller and adjust the output of the predictive controller, in order to enhance predicted inputs. The performance of our proposal is demonstrated on the Continuous Stirred-Tank Reactor control problem with disturbances.

关键词： Chemical reactors

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THD reduction with grid synchronized inverter's power injection of renewable sources

THD reduction with grid synchronized inverter's power inject...

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2010 International Symposium on Power Electronics, Electrical Drives, automation and Motion, SPEEDAM 2010

作者： Gorbe, Peter Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia 8200 Veszprém Hungary Process Control Research Group Computer and Automation Research Institute 1518 Budapest Hungary

ISBN: (纸本)9781424449873

A control method for small domestic power plants using renewable energy is described in this paper. This method is not only capable of optimizing the working point of the plant but also implements active power factor correction and lowers the extant harmonic distortion in the line. The novel element in the proposed complex controller structure is the upper harmonic controller that minimizes the amplitudes of the 3rd, 5th 7th, 9th, and the 11th upper harmonic component in the output voltage. The proposed controller has been investigated by simulation in Matlab environment, and as a result, substantial improvement of the output voltage and current waveform could be achieved. Robustness of the method against nonlinear loads has also been tested. 0 © 2010 IEEE.

关键词： Solar power generation

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Dynamic modeling and model analysis of a large industrial synchronous generator

Dynamic modeling and model analysis of a large industrial sy...

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作者： Fodor, Attila Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia 8200 Veszprém Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

ISBN: (纸本)9788070438657

A simple dynamic model of an industrial size synchronous generator operating in a nuclear power plant is developed in this paper based on first engineering principles. The constructed state-space model consists of a nonlinear state equation and a bi-linear output equation. It has been shown that the model is locally asymptotically stable with parameters obtained from the literature for a similar generator. The effect of load disturbances on the partially controlled generator has been analyzed by simulation using a traditional PI controller. It has been found that the controlled system is stable and can follow the set-point changes in the effective power well. The disturbance rejection of the controller is also satisfactory.

关键词： Disturbance rejection

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Separation of gas - Liquid two-phase flow through independent component analysis

Separation of gas - Liquid two-phase flow through independen...

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作者： Xu, Yanbin Wang, Huaxiang Cui, Ziqiang Dong, Feng Yan, Yong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China Department of Automation Nankai University Tianjin 300071 China Department of Electronics University of Kent CT2 7NT Canterbury United Kingdom

Two-phase flow measurement has attracted a major interest in the past four decades due to its wide range of applications in industry. This paper introduces a new method to separate the gas phase from the liquid phase through a blind source separation algorithm, without a separate device, based on the assumption that the two phases are separated and their independence is reflected in the statistical relation between the electrical signals generated by the process. Experimental data are obtained from a gasliquid two-phase flow rig through electrical resistance tomography (ERT). An independent component analysis (ICA) method is applied to separate the gas phase from the liquid phase. The efficiency of the ICA method with the ERT data is assessed through experiments. The independent components (ICs) are interpreted by comparing them with the reconstructed images by ERT. The comparative studies show that ICA is effective in extracting phase information of gasliquid two-phase flow, particularly for stratified, slug, and wave flows. Based on the extracted ICs, the cross-correlation technique is adopted to estimate the mean velocity of the liquid phase in the central area, the gas phase at the interface, and the liquid phase around the pipe wall and the liquid slug. Through correlating ICs representing different spatially independent processes from the upstream and downstream planes after the elimination of cyclostationary characteristics of ICs, the mean velocity of different spatially processes is obtained. © 2006 IEEE.

关键词： Independent component analysis

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Mass action realizations of reaction kinetic system models on various time scales

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Journal of Physics: Conference Series 2011年第1期268卷

作者： K M Hangos G Szederkényi Process Control Research Group Computer and Automation Reseach Institute Kende u. 13-17 H-1111 Budapest Hungary Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 Veszprém Hungary

Complex chemical reaction networks often exhibit different dynamic behaviour on different time scales. A combined approach is proposed in this work for determining physically meaningful mass action realizations of complex chemical reaction networks that describe its dynamic behaviour on different time scales. This is achieved by appropriately reducing the detailed overall mass action kinetic scheme using quasi steady state assumptions fit to the particular time scale, and then searching for an optimal realization using mixed integer linear programing. Furthermore, the relationship between the properties (reversibility, deficiency, stability) of the obtained realizations of the same system on different time scales are also investigated and related to the same properties of the detailed overall model. It is shown that the reduced models obtained by quasi steady state assumptions may show exotic nonlinear behaviour, such as oscillations, when the original detailed is globally asymptotically stable. The proposed methods are illustrated by using a simple Michaelis-Menten type reaction kinetic example. The simplified versions of the well known Brusselator model have also been investigated and presented as a case study.

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Stochastic stabilization of Markovian jump systems in the presence of partial unknown transition probabilities and actuator saturation

Stochastic stabilization of Markovian jump systems in the pr...

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作者： Wang, Yijing Zuo, Zhiqiang Cui, Yulong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China Department of Mathematics City University of Hong Kong Kowloon Hong Kong

ISBN: (纸本)9787894631046

This paper deals with the controller design problem for Markovian jump systems subject to partial unknown transition probabilities and actuator saturation. Different from the previous results where complete knowledge on the transition probabilities is available, a new controller synthesis scheme is proposed as well as an estimate of the domain of attraction in mean square sense. A sufficient condition is first established to guarantee the stochastic stability of the closed-loop system. An optimization problem with LMI constraints is then formulated to determine the largest contractively invariant set in mean square sense. Finally, a numerical example is provided to show the effectiveness of our method.

关键词： Closed loop systems

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Analysis and pattern recognition of blast furnace burden surface based on multi-radar data

Analysis and pattern recognition of blast furnace burden sur...

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2010 International Conference on Intelligent control and Information processing, ICICIP 2010

作者： Zhou, Xiang Li, Xiaoli Liu, Dexin Yin, Yixin Chen, Xianzhong Hou, Qingwen Department of Automation Information and Engineering School University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing Beijing 10083 China

ISBN: (纸本)9781424470488

Iron making is the first stage and also an important part in steel making process, which will bring the problem of energy efficiency and economic benefits. In this process, the distribution of the blast burden impacts greatly on the production of BF (blast furnace). Therefore, the prediction of furnace burden distribution in furnace throat will play an important role in the control strategy of furnace burden. Based on the data from the multi-radar, the blast burden curve can be formed. Feature extraction and classification based on different curves (i.e. different pattern) can be made by using BP neural networks. The work proposed in this paper will be a guidence for the future research of burden surface based on the data of phased-array radar. © 2010 IEEE.

关键词： Blast furnaces

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Application of fuzzy pattern recognition in burden surface identification

Application of fuzzy pattern recognition in burden surface i...

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2010 International Conference on Intelligent control and Information processing, ICICIP 2010

作者： Liu, Dexin Li, Xiaoli Zhou, Xiang Yin, Yixin Chen, Xianzhong Hou, Qingwen Department of Automation Information and Engineering School University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing Beijing 10083 China

ISBN: (纸本)9781424470488

A kind of pattern recognition method with Fuzzy clustering is applied to identify the burden surface of blast furnace. According to the information of burden surface distribution, the target clustering analysis is used to set up a standard model database. Based on the character of distribution, each target burden surface is matched into different standard model database by using fuzzy pattern recognition method. Maximal minimal similarity method is adapted in the course of fuzzy pattern recognition. The simulation results show the effectiveness of the proposed method. © 2010 IEEE.

关键词： Blast furnaces

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Single Source Current Drive Patterns for Electrical Impedance Tomography

Single Source Current Drive Patterns for Electrical Impedanc...

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IEEE Instrumentation & Measurement Technology Conference

作者： Lifeng Zhang Huaxiang Wang Department of Automation North China Electric Power University Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation TianjinUniversity

ISBN: (纸本)9781424428328;9781424428335

Electrical impedance tomography (EIT) is a technique for reconstructing conductivity of an inhomogeneous medium by injecting currents at the boundary of an object and measuring the resulting changes in voltage. The SNR of acquisitive data and the reconstructed image quality of EIT system are directly determined by current drive patterns. In this paper, eight current drive patterns with the same boundary voltage measurement strategy have been studied. The isopotential lines, the number of independent measurements, measured voltage dynamic range, voltage change with conductivity change and reconstructed image quality of these patterns are compared, through which an optimal current drive pattern was obtained.

关键词： Electrical impedance tomography Current drive pattern Finite element method Image reconstruction

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Application of Kronecker summation method in computation of robustly stabilizing PI controllers for interval plants

Application of Kronecker summation method in computation of ...

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作者： Matušů, Radek Prokop, Roman Matejičková, Katarína 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)9789604741991

The contribution deals with design of continuous-time robustly stabilizing PI controllers for interval systems using the combination of Kronecker summation method, sixteen plant theorem and an algebraic approach to controller tuning. The effectiveness and practical applicability of the proposed method is demonstrated in control of a 3rd order nonlinear electronic plant.

关键词： Continuous time systems

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