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15th International Flow Measurement Conference 2010, FLOMEKO 2010

作者： Zheng, Dan-Dan Zhang, Tao Sun, Li-Jun Meng, Tao Hu, He-Ming Wang, Chi Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China National Institute of Metrology of China Beijing 100013 China

ISBN: (纸本)9781617824722

The downstream flow of 90° single bend was investigated by computational fluid dynamics (CFD). An acoustic transit time flowmeter was exposed to the downstream flow at various positions. Measurement errors with different meter configurations and effects of pipe wall roughness were discussed. Numerical simulation results of three diameter pipes 0.1m, 1m and 10m with increasing the roughness from 0 to 1mm were presented within Reynolds number (Re) range from 5× 103 to 5×106. Copyright © FLOMEKO 2010.

关键词： Flow measurement

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Moving Character Observation of Bubble Rising in Vertical Gas‐Liquid Two‐Phase Flow

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AIP Conference Proceedings 2010年第1期1207卷 604-609页

作者： H. Y. Wang F. Dong aTianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University China

The study of bubble motion in water is a basic subject in gas‐liquid two‐phase flow research. A suit of visualized experimental device was designed and set up. Bubble rising in stagnant liquid in a vertical translucent rectangular tank was studied using the high‐speed video system combined with digital image process methods. Several bubble parameters were calculated base on the processed images. Bubble track, bubble velocity curve and accelerating curve have been plotted at different working situation. The movement of bubble rising in water was observed. And the dynamics of bubble were summarized with experimental analyzing. Both gas orifice diameter and bubble detachment are mainly influencing factor for bubble size and bubble dynamics.

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Base vector learning mechanism for fuzzy model

Base vector learning mechanism for fuzzy model

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International Conference on Digital Manufacturing and automation

作者： Fan, Yugang Wang, Hua Wang, Haiqing Wu, Jiande Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Faculty of Metallurgy and Energy Engineering Kunming University of Science and Technology Kunming China National Lab of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou China

ISBN: (纸本)9780769542867

Fuzzy model based on support vector machine(SVM-based fuzzy model) was proposed in recent years. Although SVM has an excellent generalization performance, it is considered to have lower computation speed, and a large number of support vectors may be found, which leads to a complex fuzzy model with too many rules. To deal with the problem, the paper presents a new approach called base vector learning(BVL) to build fuzzy model. There are two steps in the process of the BVL-based fuzzy modeling. First, the quadratic Renyi entropy is applied to select base vectors, which are used to span a subspace in feature space F. Then, all data are projected onto this subspace where classical algorithms such as classification or regression can be applied. If Gaussian kernel is considered, the structure of BVL is equivalent to fuzzy model. The performance of the proposed learning scheme is illustrated by experiments of classification and regression. © 2010 IEEE.

关键词： Support vector machines

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Concentration prediction of 4-CBA based on local weighted LS-SVM

Concentration prediction of 4-CBA based on local weighted LS...

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International Conference on Digital Manufacturing and automation

作者： Fan, Yugang Wang, Hua Wang, Haiqing Wu, Jiande Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Faculty of Metallurgy and Energy Engineering Kunming University of Science and Technology Kunming China National Lab. of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou China

ISBN: (纸本)9780769542867

In this paper, a new fuzzy adaptive local modeling method based on local learning and weighted least squares support vector machine (LS-SVM) is proposed by building fuzzy membership model for the training data. Just as LS-SVM, local LS-SVM is also sensitive to outliers or noises. A proper fuzzy membership model based on support vector data description (SVDD) is proposed to deal with the problem. Fuzzy membership value to each input sample is confirmed according to it's distance to the center of smallest enclosing hypersphere determined by SVDD. The proposed local weighted LS-SVM is applied to predict the concentration of 4-Carboxybenzaldchydc (4-CBA) in purified terephthalic acid (PTA) oxidation process. Results indicate that the proposed method actually reduces the effect of outliers and its accuracy is improved. © 2010 IEEE.

关键词： Vectors

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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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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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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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Optimal control over unreliable networks with uncertain loss rates

Optimal control over unreliable networks with uncertain loss...

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作者： Kögel, Markus J. Blind, Rainer Allgöwer, Frank Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany Laboratory for Systems Theory and Automatic Control Institute for Automation Engineering Otto-von-Guericke University Magdeburg Magdeburg Germany Design and Optimization in Chemical and Biochemical Process Engineering International Max Planck Research School for Analysis Magdeburg Germany

ISBN: (纸本)9781424474264

In this work, we consider an optimal control problem for Networked control Systems (NCS), where the loop is closed via an unreliable network. In order to inform the controller about the fates of the control packets, the actuator sends acknowledgements to the controller. In this work, different types of acknowledgements are considered. Since all packets are send over a network, we consequently assume, that all packets can get lost, i.e. the measurement packets, the control packets as well as the acknowledgement packets. The loss of these packets is modeled by independent and identically distributed (iid) Bernoulli processes. Finally, we assume that the parameters of these loss processes are not known exactly. Using this setup, we derive bounds for the uncertainty in the loss rates. Moreover, we present an algorithm to design a sub-optimal controller which can tolerate a given amount of network uncertainties. © 2010 AACC.

关键词： Networked control 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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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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