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Identification and On-Line Estimation of the Unsaturated Hydraulic Conductivity in Presence of Forced Air Convection Based on a distributed-parameter Model

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IFAC Proceedings Volumes 2003年第16期36卷 1945-1950页

作者： O. Schoefs D. Dochain R. Chapuis R. Samson M. Perrier CESAME Université Catholique de Louvain Ave Georges Lemaitre 4-6 B-1348 Louvain-la-Neuve Belgium Dept. of Civil Geological and Mining Engineering École Polytechnique de Montréal P.O. Box 6079 Station Centre-ville Montreal (Qc) H3C 3A7 Canada Dept. of Chemical Engineering École Polytechnique de Montréal P.O. Box 6079 Station Centre-ville Montreal (Qc) H3C 3A7 Canada

The goal of this study was to calibrate a numerical model aimed at describing simultaneous air and water flow in soil and, to build a model-based estimator of the unsaturated hydraulic conductivity. The experimental approach consisted of infiltration tests in a 1.5m high column of loamy sand. The numerical model correctly described water percolation without air convection, provided parameter adjustment of the predictive model of the unsaturated hydraulic conductivity was performed. An observer-based estimator was able to estimate on-line the hydraulic conductivity in steady-state but faced oscillation problems in unsteady-state. The difficulty in implementing the software-sensor can be explained by the strong nonlinearity of the dynamical model.

关键词： distributed-parameter systems nonlinear systems modelling parameter identification parameter estimation

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Labview-Based Configurable Virtual Controller for distributed parameter Reactors

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IFAC Proceedings Volumes 2003年第1期36卷 41-44页

作者： J. Czeczot Institute of Autofnatic Control Technical University of Silesia ul. Akadelnicka 16 44-100 Gliwice Poland

The aim of this paper consists in the implementation ofthe new adaptive control algorithm, dedicated for distributed parameter reactors, as the fully-configurable PC-based virtual controller. For this purpose the LabView graphical programming tool from National Instruments was used. Since the control law has a number of different parameters that must be set up to ensure its best control perfonnance, it is possible to configure these parameters by the controls placed at the front panels of this device. The most important properties of this virtual controller are presented in this paper.

关键词： Adaptive control Controllers distributed-parameter systems Least-squares estimation

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The Grassmannian approach versus a J -spectral factorization approach to approximation problems

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IFAC Proceedings Volumes 2003年第19期36卷 161-166页

作者： Orest V. Iftime Amol J. Sasane University of Groningen Department of Mathematics and Computing Science P.O. Box 800 NL-9700 AV Groningen The Netherlands. Institut Mittag-Leffler Auravgen 17 S-182 60 Djursholm Sweden.

Two approaches to solving the suboptimal Nehari problem are analyzed: the Grassmannian approach and a J -spectral factorization approach. Moreover, using the Grassmannian approach, a solution for the Hankel norm approximation problem is presented. The results apply to large classes of infinite-dimensional systems, and in particular to time-delay systems.

关键词： distributed-parameter systems Factorization methods Algebraic approaches

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OPTIMAL LOCATION OF DISCRETE SCANNING SENSORS FOR parameter ESTIMATION OF distributed systems

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IFAC Proceedings Volumes 2002年第1期35卷 289-294页

作者： Dariusz Uciński Maciej Patan Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65–246 Zielona Góra Poland

We investigate possibilities of choosing an activation policy of discrete scanning sensors in such a way as to maximize the accuracy of parameter estimation of a distributed system defined in a given multidimensional domain. A general functional defined on the Fisher information matrix is used as the design criterion. The setting examined here corresponds to situations where one has many sensors and activates only some of them during a given time interval, or alternatively, has several sensors which are mobile. The proposed approach, which has been suggested by Fedorov's idea of directly constrained design measures, consists in imposing constraints on the sensor density in a given spatial domain. As a result, an extremely fast iterative procedure is obtained whose each step reduces to replacing less informative sensor locations with points which furnish more informaton about the parameters. The performance of the proposed algorithm is evaluated by numerical experiments.

关键词： distributed-parameter systems parameter Identification Sensors Optimum Experiment Design

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MODEL BASED PREDICTIVE CONTROL OF RIVER RESERVOIRS

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IFAC Proceedings Volumes 2002年第1期35卷 367-372页

作者： Hartmut Linke Eckhard Arnold Technische Universität Ilmenau P. O. Box 100565 D-98684 Ilmenau Germany Fraunhofer Appl. Center for Systems Technology Am Ehrenberg 8 D-98693 Ilmenau Germany

The operational water management of river reservoirs has to consider different and sometimes competitive objectives, e. g. navigation conditions, hydro-power generation, flood protection and environmental aspects. Despite of problem specific extensions to cover the non-linear process behavior the application of local standard (PI) controllers to each reservoir can fulfill only basic management requirements. MBPC algorithms have the capability to give a wide and time proper exploitation of the active storage of the whole cascade. A two-layer control structure, consisting of a predictive controller in the upper layer and local controllers at each barrage, allows to provide the management decisions under real time conditions. Simulation results for three reservoirs of the river Moselle show the aptitude of the proposed approach.

关键词： river reservoir systems model predictive control distributed-parameter systems

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IDENTIFICATION OF PHARMACEUTICAL CRYSTALLIZATION PROCESSES

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IFAC Proceedings Volumes 2002年第1期35卷 253-258页

作者： Mitsuko Fujiwara David L. Ma Timokleia Togkalidou Danesh K. Tafti Richard D. Braatz University of Illinois at Urbana-Champaign

A key bottleneck in the production of pharmaceuticals is in the formation of crystals from solution. The control of the crystal size distribution can be critically important for efficient downstream operations such as filtration and drying, and product effectiveness (e.g., bioavailability, tablet stability). This paper provides an overview of recent developments in the identification of pharmaceutical crystallization processes. This includes descriptions of recent activities in sensor technologies, model identification, experimental design, and robustness analysis of pharmaceutical crystallization processes.

关键词： Biotechnology Chemical sensors Computer simulation Batch control distributed-parameter systems Sensors Estimation algorithms Robust control Optimal control Nonlinear systems

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FINITE ELEMENT GALERKIN MODELS AND IDENTIFIED FINITE ELEMENT MODELS - A COMPARATIVE STUDY.

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IFAC Proceedings Volumes 2002年第1期35卷 307-312页

作者： Stephen A. Billings Daniel Coca Department of Automatic Control & Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD UK

A new approach to derive a finite element discretisation of PDE equations soley from observations is compared, in terms of approximation accuracy, with the standard finite element Galerkin approach which assumes knowledge of the governing PDE's. It is shown both in theory and by means of an example that, for a given model order, the identified model is more accurate than the equivalent finite element Galerkin approximation derived from the original PDE's.

关键词： distributed-parameter systems Finite Element Solutions Identification Algorithms Interpolation Approximation System Identification

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ADAPTIVE CONTROL OF A DENITRIFYING BIOFILTER WITH APPLICATION OF THE SUBSTRATE CONSUMPTION RATE

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IFAC Proceedings Volumes 2002年第1期35卷 85-90页

作者： J. Czeczot M. Metzger J.P. Babary Institute of Automatic Control Technical University of Silesia ul. Akademicka 16 44-100 Gliwice Poland Laboratoire d'Analyse et d'Architecture des Systemes Centre National de la Recherche Scientifique (LAAS/CNRS) 7 avenue du Colonel Roche 31077 Toulouse Cedex 4 France

This paper deals with the generalised approach to the adaptive control of a denitrifying biofilter with application of the substrate consumption rate. It is shown how to derive the control law on the basis of the simplified form of the dynamical equation written for the controlled variable with the possibly minimal knowledge about the process kinetics and components. In this equation all reaction rates are replaced by the only one time varying parameter (substrate consumption rate) and its value is estimated on-line by the recursive least-squares method at the biofilter outlet to ensure the adaptability of the control law. The suggested methodology is evaluated by simulation with application to the complete nonlinear model of the biofilter.

关键词： Model-based control Adaptive control Least-squares estimation Biotechnology distributed-parameter systems

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MODELING AND PREDICTIVE CONTROL OF CEMENT GRINDING CIRCUITS

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IFAC Proceedings Volumes 2002年第1期35卷 43-48页

作者： R. Lepore A. Vande Wouwer M. Remy Laboratoire d'Automatique Faculté Polytechnique de Mons 31 Boulevard Dolez B-7000 Mons Belgium Tel: +32 (0)65 374140 Fax: +32 (0)65 374136

The purpose of this paper is to show that a distributed-parameter model of a continuous ball mill can be developed by discretizing the particle size continuum into a few size intervals only. Despite this coarse discretization of the particle size distribution, the ball mill model provides a good representation of the real process, which can be combined with a classifier model to build a complete simulator of a closed-loop grinding circuit. This simplified process representation is compared with a detailed first-principle model previously developed and validated by the authors. The main advantage of the simplified model is that it can be easily incorporated in an on-line control scheme. For illustrative purposes, a NMPC scheme is implemented to regulate the product fineness when variations in the grindability of the raw material occur as a measurable disturbance. The control objective, based on a size interval content, is compatible with traditional fineness measurements.

关键词： distributed-parameter systems nonlinear models parameter estimation process control predictive control industrial production systems

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ON OPTIMIZATION OF HYPERBOLIC systems WITH SMOOTH CONTROLS AND INTEGRAL CONSTRAINTS

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IFAC Proceedings Volumes 2002年第1期35卷 323-327页

作者： Alexander V. Arguchintsev Irkutsk State University 1 K.Marx Street Irkutsk 664003. Russia

A non-classic optimality condition and numerical algorithm for smooth boundary controls in semi-linear first-order hyperbolic systems are presented. Additional integral control constraints are considered. The suggested approach is based on special variations of admissible continuously differentiable controls. These variations lead to a new necessary optimality condition which is a base for a numerical method. The method is applied to an optimal control problem for an age-structured population.

关键词： Optimal control partial differential equations distributed-parameter systems boundary conditions computational methods

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