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IFAC Proceedings Volumes 1998年第23期31卷 43-48页

作者： Sirkka-Liisa Jämsä-Jounela Zoltán Cziprián Chemical Department Laboratory of Process Control and Automation Espoo Helsinki University of Technology POB 6100 FIN-02015 HUT Finland

Ore leaching techniques combined with solution treatment procedures offer exceptional conditions to produce high purity metal from very low-grade ore sources. Essential percentage of the world copper production is based on the heap and dump leaching techniques. The use of computer simulation, is now a basic tool for process design and optimisation, as evidenced by its increasing use of practising engineers through commercially available simulation software products. This paper discusses the modelling and simulation of the hydrometallurgical processes. The simulation example of a copper heap leaching process is presented and evaluated.

关键词： Heap leaching leaching model dynamic simulation copper extraction

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Long-Range Predictive control of the Parametric Hammerstein Model

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IFAC Proceedings Volumes 1998年第17期31卷 421-426页

作者： Robert Haber Ruth Bars Orsolya Lengyel Department of Process Engineering Laboratory of Process Control Cologne Institute of Technology D-50679 Koln Betzdorfer Str. 2 Germany fax: 49-221-8275-2836 phone:49-221-8275-2242 Department of Automation Technical University of Budapest H-1111 Budapest Goldmann Gy. tér 3 Hungary lax: 361-463-2871 phone:361-463-2885

Predictive control algorithms are promising also in the case of nonlinear systems. Long-range predictive control algorithms are derived here for the nonlinear Hammerstein model. A quadratic cost function is minimized, which considers the quadratic deviation of the reference signal and the output signal predicted in a future horizon and punishes also the squares of the control increments. The predictive incremental form of the Hammerstein model is used to predict the output signal. Suboptimal versions of the control algorithm are given with different assumptions for the control signal during the control horizon. Some properties of these algorithms are shown through simulation examples. Behaviour of long-range predictive control algorithms is compared with the performance of one-step-ahead predictive control algorithms.

关键词： Predictive control nonlinear control suboptimal control Hammerstein model

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STEADY-STATE OPERATION ANALYSIS OF AN IDEAL HEAT INTEGRATED DISTILLATION COLUMN

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Chinese Journal of Chemical Engineering 1997年第4期5卷 43-54页

作者：黄克谨钱积新战德志中岩勝高松武一郎 Institute of Industrial Process Control Zhejiang University Department of Chemical Process Automation Qingdao Institute of Chemical Engineering Department of Chemical Systems National Institute of Materials and Chemical Research Institute of Industrial Technology Kansai University

A systematic approach for the steady-state operation analysis of chemical processes is *** method affords the possibility of taking operation resilience into consideration during thestage of process *** may serve the designer as an efficient means for the initial screening ofalternative design *** ideal heat integrated distillation column(HIDiC),without any reboileror condenser attached,is studied throughout this *** has been found that among the various va-riables concerned with the ideal HIDiC,feed thermal condition appears to be the only factor exertingsignificant influences on the interaction between the top and the bottom control *** is expected when the feed thermal condition approaches *** number of stages andheat transfer rate are essential to the system ability of disturbance ***,more stagesand higher heat transfer rate ought to be ***,too many stages and higher heat transfer ratemay increase the load of the

关键词： Distillation model identification steady-state design operation resilience process control

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Guaranteed cost control of uncertain linear discrete-time systems

Guaranteed cost control of uncertain linear discrete-time sy...

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American control Conference (ACC)

作者： Li Yu Jingcheng Wang Jian Chu Department of Automation Zhejiang University of Technology Hangzhou China Institute of Industrial Process Control University of Zhejiang Hangzhou China

We consider the guaranteed cost control problem of a class of uncertain linear discrete-time systems. The uncertain systems under consideration depend on norm-bounded time-varying uncertain parameters. Results on the ... 详细信息

ISBN: (纸本)0780338324

关键词： control systems Erbium Uncertain systems Uncertainty Automatic control Riccati equations Integral equations Upper bound Cost function automation

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A neural network controls the galvannealing process

A neural network controls the galvannealing process

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： C. Schiefer F.X. Rubenzucker H.P. Jorgl H. Aberl Laboratory for Intelligent Control Methods for Process Technologies Institute for Machine and Process Automation Vienna University슠of슠Technology Vienna Austria Electrical Engineering and Process Control Research and DevelopmentDepartment TAW Voest-Alpine Industrieanlagenbau GmbH Linz Austria

High quality galvanized steel strip is a need of today's manufacturers of various products. In particular, in the top quality section steel strips for the automotive, building and consumer goods industries only those steel producers will be successful who are applying state-of-the-art process technologies. For this reason, VOEST-ALPINE Industrieanlagenbau mbH (VAI) and VOEST-ALPINE Stahl Linz developed a new galvannealing control system to optimize this metallurgical process. As the latest improvement of the galvannealing control strategy, a neural network controller has been developed by VAI in Cooperation with the Vienna University of technology Christian Doppler Laboratory for Intelligent control Methods for process Technologies. The paper describes the galvannealing process as far as it is necessary for the understanding of the controller functions, the controller structure and its essential functions. Furthermore, the neural network structure used and its integration into the controller system are explained. A discussion of simulation and practical operating results shows the improvements achieved by using a neural network controller in comparison to the conventional controller.

关键词： Neural networks process control Steel Strips Electrical equipment industry Manufacturing industries Metals industry control systems Galvanizing Automotive engineering

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Robustness Properties of Extended Horizon Nonlinear Predictive control Strategies Applied for the Hammerstein Model

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IFAC Proceedings Volumes 1997年第16期30卷 321-325页

作者： Robert Haber Ruth Bars Zoltán Czipríán Department of Process Engineering Laboratory of Process Control Cologne Institute of Technology D-50679 Köln Betzdorfer Str. 2 Germany Department of Automation Technical University of Budapest H-1111 Budapest Goldmann Gy. tér 3 Hungary

Predictive control algorithms are promising also in the case of nonlinear systems. Two versions of extended horizon predictive control algorithms are given here for the nonlinear simple Hammerstein model. A quadratic cost function is minimized, which considers the quadratic deviation of the reference signal and the output signal predicted in a future point and also the squares of the control increments. The system model is transformed to a predictive incremental form. Two versions of suboptimal extended horizon control algorithms are given with different assumptions for the control signal during the control horizon. Robustness properties of these algorithms are considered in case of plant-model mismatch through some simulation examples.

关键词： Predictive control nonlinear control control algorithms suboptimal control robustness Hammerstein model

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Robust Design of PID and IMC-Based controllers in the Time Domain

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IFAC Proceedings Volumes 1997年第16期30卷 365-370页

作者： Robert Haber Ruth Bars Department. of Plant and Process Engineering Laboratory for Process Control Cologne Institute of Technology (Fachhochschule Köln) D-50679 Köln Betzdorfer Str. 2 Germany Department of Automation Technical University of Budapest H-1111 Budapest Goldmann Gy. ter 3 Hungary

A third-order proportional process model with parameter uncertainty is controlled by different simple controllers. First the robustness of four different PID-control designs is investigated. Then internal model control (IMC) is designed in the time domain for the exact process model and for its approximating model with a first-order lag and a delay time. Finally, the PID-control of the nominal model is extended by an IMC-like feedback, which makes the control especially robust.

关键词： Robust control PID control internal model control controller design

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Extended Horizon Predictive control of Non-Linear Systems - Multi-Dimensional Optimisation and Suboptimal Solution

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IFAC Proceedings Volumes 1996年第8期29卷 57-62页

作者： Robert Haber Ruth Bars Department of Process Engineering Laboratory of Process Control Cologne Institute of Technology (Fachhochschule Köln) D-50679 Köln Betzdorfer Str. 2 Germany Department of Automation Technical University of Budapest H-1111 Budapest Goldmann Gy. tér 3 Hungary

Predictive control strategies have been proved effective and robust in practice. These algorithms were developed mainly for linear processes. The main idea is to determine the control signal minimising the deviation between a reference signal and the predicted process output in a given prediction horizon. A simplified version is one-step-ahead predictive control, where prediction horizon is restricted to one future point. Extended horizon control proposed by Ydstie (1984) is enlengthened one-step-ahead control which lets more time for the settling process than the dead time. Extended horizon predictive control strategy is derived here for a class of nonlinear systems. Some simulation results show the effect of the tuning parameters for the reference signal tracking performance of the nonlinear system.

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Adaptive Predictive control of Nonlinear Dynamic processes

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IFAC Proceedings Volumes 1995年第13期28卷 401-406页

作者： Robert Haber Ruth Bars Cologne Institute of Technology (Fachhochschule Köln) Department of Process Engineering Laboratory of Process Control D-50679 Köln Betzdorfer Str. 2 Germany. Department of Automation Technical University of Budapest H-1111 Budapest Goldmann Gy. tér 3 Hungary.

Predictive control algorithms determine a series of the control signal minimizing the deviation between the reference and the output signal in a given future horizon. The output of the plant to be controlled is predicted on the basis of a model, which can be linear or nonlinear, parametric or nonparametric. In adaptive control these process parameters are identified and the control signal is calculated taking the identified values into consideration. In the paper simulation results present some properties of adaptive predictive control. Robustness of the control algorithm is illustrated through control of a simple Wiener model . The relationship between the plant order and the prediction horizon is also mentioned. The promising results indicate that further systematic analysis is worthwhile.

关键词： nonlinear control predictive control adaptive control control algorithms parametric nonparametric models Volterra series

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Recursive Structure, Parameter and Delay Time Estimation using ESS Representations

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IFAC Proceedings Volumes 1985年第5期18卷 867-872页

作者： J. Bokor L. Keviczky Operations Research Department Institute for Computer Technology 1751 Budapest Pf. 65 Hungary Process Control Department Computer and Automation Institute Hungarian Academy of Sciences H-1502 Budapest Kende u. 13-17 Hungary

The paper presents a recursive parameter estimation and the associated structure estimation method using El ementary S ubSystem (ESS) representation of S1S0 systems. Besides the ability of estimating the structure and tracking time-varying parameters, the elaborated procedure can also be applied to track time-varying structures. The proposed method is illustrated by simulation examples.

关键词： Structure estimation recursive identification

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