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Mediterranean Conference on control and Automation (MED)

作者： Monika Bakosova Dalibor Puna Alojz Meszaros Faculty of Chemical and Food technology Institute of Information Engineering utomation and Mathematics Department of Information Engineering and Process Control University of Technology Bratislava Slovakia

This paper presents the application of robust static output feedback control (RSOFC) to an exothermic continuous-time stirred tank reactor (CSTR) with parametric uncertainties. Necessary and sufficient conditions for stabilization of a linear continuous-time uncertain polytopic system via static output feedback are given at first. Then the problem of RSOFC design is converted to solution of linear matrix inequalities (LMIs) and a computationally simple LMI based non-iterative algorithm is used. The design procedure guarantees with sufficient conditions the robust quadratic stability and guaranteed cost. The possibility to use a robust static output feedback for control of CSTRs with uncertainties is demonstrated by simulation results

关键词： Inductors Robust control Output feedback Uncertainty Sufficient conditions Robust stability Continuous-stirred tank reactor Algorithm design and analysis Linear matrix inequalities Costs

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Dynamic optimisation of industrial sugar crystallization process based on a hybrid (mechanistic+ANN) model

Dynamic optimisation of industrial sugar crystallization pro...

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International Joint Conference on Neural Networks 2006, IJCNN '06

作者： Galvanauskas, Vytautas Georgieva, Petia Feyo De Azevedo, Sebastião Process Control Department Kaunas University of Technology Studentu¸ 50 LT-51386 Kaunas Lithuania Department of Electronics and Telecommunications IEETA University of Aveiro 3810-193 Aveiro Portugal Department of Chemical Engineering Faculty of Engineering University Porto Rua Dr. Roberto Frias s/n 4200-465 Porto Portugal

ISBN: (纸本)0780394909

A model-based optimization of an industrial fed-batch sugar crystallisation process is considered in this paper. The objective is to define the optimal profiles of the manipulated process inputs, the feeding rate of liquor/syrup and the steam supply rate, such that the crystal content and the crystal size distribution (CSD) measures at the end of the batch cycle reach the reference values. A knowledge-based hybrid model is implemented, which combines a partial first principles model reflecting the mass, energy and population balances with an artificial neural network (ANN) to estimate the kinetics parameters - particle growth rate, nucleation rate and the agglomeration kernel. The simulation results demonstrate that the very tight and conflicting end-point objectives are simultaneously feasible in the presence of hard process constrains. © 2006 IEEE.

关键词： Sugar industry

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Multiscale heat and mass transfer modeling and optimization of hydrogen solid storage systems

Multiscale heat and mass transfer modeling and optimization ...

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2006 TMS Annual Meeting

作者： Kikkinides, Eustathios S. Konstantakou, Maria Georgiadis, Michael C. Steriotis, Theodore Stubos, Athanassios K. Department of Engineering and Management of Energy Resources University of Western Macedonia Kastorias and Fleming Str. 50100 Kozani Greece 184 Thorn Hill Rd. Warrendale PA 15086-7514 United States Centre for Process Systems Engineering Department of Chemical Engineering Imperial College London London SW7 2AZ United Kingdom Process Systems Enterprise Limited Academic Relations Thermi Business Incubator 9th Km Thessaloniki-Thermi Thermi-Thessaloniki 57001 Greece National Center for Scientific Research Demokritos 15310 Ag. Paraskevi Attikis Athens Greece Chemical Process Engineering Research Institute Centre for Research and Technology Hellas P.O. Box 361 57001 Thermi-Thessaloniki Greece

ISBN: (纸本)0873396103

This work presents an integrated approach for the optimal design and control of hydrogen storage beds. A detailed 2-D mathematical model is developed for metal hydride beds and validated against experimental and theoretical literature results. Based on recent advances in dynamic optimization, the model is used to find the optimal process design and operating strategy in order to minimize the storing time, while satisfying, a number of operating constraints (such as pressure drop limitations, cooling fluid availability and maximum tank temperature). Trade-offs between various objectives, alternative design options and optimal cooling control policies are revealed illustrating the potential of the approach. In a further step the model is used to exploit the benefits between material and process design. Systematic simulation and optimization studies are performed at two different length scales (tank and adsorbent pore level) for carbon based materials. The macroscopic approach determines the optimal values of the sorption parameters while, based on these results molecular simulation techniques are employed to determine the pore size distribution of the adsorbents.

关键词： Gas fuel storage

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P1H-2 Particle Sizing in the process Industry using Hertz-Zener Impact Theory and Acoustic Emission Spectra

P1H-2 Particle Sizing in the Process Industry using Hertz-Ze...

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IEEE Symposium (IUS) Ultrasonics

作者： A. Gachagan A. J. Mulholland G. Hayward M. Tramontana A. Nordon G. Carson Department of Mathematics University of Strathclyde Glasgow UK Department of Pure and Applied Chemistry Centre for Process Analytics and Control Technology (CPACT) University of Strathclyde Glasgow UK Department of Electronic and Electrical Engineering The Centre for Ultrasonic Engineering (CUE) University of Strathclyde Glasgow UK

The cost of implementing real-time monitoring and control of industrial processes is a significant barrier for many companies. Acoustic techniques provide complementary information to optical spectroscopic sensors and have a number of advantages: they are relatively inexpensive, can be applied non-invasively, are non-destructive, multi-point measurements are possible, opaque samples can be analysed in containers that are made from opaque materials (e.g. steel or concrete) and the analysis can be conducted in real-time. In this paper a new theoretical model is proposed which describes the transport of particles in a stirred reactor, their collision with the reactor walls, the subsequent vibrations which are then transmitted through the vessel walls, and their detection by an ultrasonic transducer. The particle-wall impact is modelled using Hertz-Zener impact theory. Experimental data is then used in conjunction with this (forward) model to form an inverse problem for the particle size distribution using a least squares cost function. Application of an integral smoothing operator to the power spectra greatly enhances the accuracy and robustness of the approach. One advantage of this new approach is that since it operates in the frequency domain, it can cope with the industrially relevant case of many particle-wall collisions. The technique will be illustrated using data from a set of controlled experiments. In the first instance a set of simplified experiments involving single particles being dropped in air onto a substrate are utilised. The second set of experiments involves particles in a carrier fluid being stirred in a reactor vessel. In each case the approach is able to successfully recover the associated particle size

关键词： Acoustic emission Inductors Optical sensors Information analysis Costs Monitoring process control Industrial control Stimulated emission Spectroscopy

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Design of verified logic control programs

Design of verified logic control programs

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IEEE International Conference on Computer-Aided Design

作者： Sven Lohmann Lan Anh Dinh Thi Olaf Stursberg Process Control Laboratory Department of Biochemical and Chemical Engineering University of Dortmund Dortmund Germany Institute of Automatic Control Engineering Department of Electrical Engineering and Information Technology Technical University Munich Munich Germany

To complement the largely manual design of logic control programs in industrial practice, this contribution proposes a method for systematically (and partly algorithmically) deriving logic controllers for given specifications. The main idea is to structure the information available for the design in form of specific intermediate formats which are iteratively refined and straightforwardly lead to controllers formulated as Sequential Function Charts. To analyze whether the design complies with all given specifications, model-based verification is applied subsequently, i.e. the controller is converted into timed automata, the latter are composed with a plant model, and model-checking algorithmically verifies (or falsifies) logic properties for the composed system. The procedure is described here for the example of a multi-product batch plant.

关键词： Logic design Automatic control Programmable control control systems Automata Algorithm design and analysis Electrical equipment industry Industrial control Iterative algorithms Natural languages

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INDIVIDUALISED APPROACHES IN control EDUCATION COURSES WITH LARGE NUMBER OF STUDENTS

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IFAC Proceedings Volumes 2006年第6期39卷 529-534页

作者： M. Fikar R. Valo Čirka M. Bakoŝová M. Huba Department of Information Engineering and Process Control Faculty of Chemical and Food Technology STU Radlinského 9 812 37 Bratislava fax : +421 2 52496469 Department of Automation and Control Faculty of Electrical Engineering and Information Technology STU IlkoviČova 3 812 19 Bratislava

The aim of this paper is to give an overview about some ideas that have been introduced in past few years to the course Automatic control Fundamentals at FCFT STU. These involve heavy use of information technologies and reduction of repetitive pedagogic work using e-learning techniques for the course with a large number of students. The paper discusses reasons for this change as well as concrete technologies in question.

关键词： control engineering Information technologies E-learning XML

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Minimum number of heat exchangers for relaxed outlet temperatures of streams

Minimum number of heat exchangers for relaxed outlet tempera...

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CHISA 2006 - 17th International Congress of chemical and process engineering

作者： Shethna, Hiren K. Jezowski, Jacek M. Aspen Technology Inc. 125 9th Ave. SE Calgary Alta. AB T2G OP6 Canada Rzeszów University of Technology Department of Chemical Engineering and Process Control Al. Powstaǹcow Warszawy 6 35-959 Rzeszów Poland

ISBN: (纸本)8086059456

The general and rigorous approach has been developed for targeting HEN that accounts for given tolerances on final target temperatures of streams. For given set of process streams the method yields heat load distribution of matches that minimizes number of matches to the global minimum ensuring the minimum loads of utilities. In contrast to existing targeting approaches for optimizing HLD this method makes use of tolerances on final temperatures. The minimization of match number is forced by maximization of number of independent sub-networks. This improves flexibility and operability of a total HEN and also makes the detailed design easier since usually sub-networks consist of small number of streams. Since streams in the sub-networks do not reach nominal outlet temperatures they are called near-independent ones. To solve the problem the transshipment formulation was employed to ensure maximum heat recovery. The MILP optimization model was developed that calculates two subsets, one featuring the minimum number of streams and the second being its complement. The recursive solution of the model in k steps yields final solution consisting of (k+1) sub-networks. The HEN features maximal number of near-independent sub-networks. Additionally, the optimization model ensures that not only given temperature tolerances are met but also enthalpy deviations in respect to fixed outlet temperature case are minimal. It is of importance that the developed approach calculates also the optimal HLD for fixed temperature case and requires less binary variables than existing approach [1]. Several examples were presented to show the applicability of the method. The solutions proved that even for moderate number of streams it is possible to generate several solutions consisting of some sub-networks. Also, it was shown that in many cases temperature violations in relation to their nominal values are almost negligible.

关键词： Heat exchangers

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Dynamic Optimisation of Industrial Sugar Crystallization process based on a Hybrid (mechanistic+ANN) Model

Dynamic Optimisation of Industrial Sugar Crystallization Pro...

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International Joint Conference on Neural Networks (IJCNN)

作者： V. Galvanauskas P. Georgieva S.F. de Azevedo Process Control Department Kaunas University of Technology Kaunas Lithuania Department of Electronics and Telecommunications IEE S.A. Aveiro Portugal Department of Chemical Engineering Faculty of Engineering University of Porto Porto Portugal

关键词： Sugar industry Crystallization Artificial neural networks Sugar refining Size measurement Kernel Constraint optimization Space technology Parameter estimation Kinetic theory

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Model predictive control of a fluid catalytic cracking pilot plant

Model predictive control of a fluid catalytic cracking pilot...

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CHISA 2006 - 17th International Congress of chemical and process engineering

作者： Bollas, G.M. Avramidis, S. Papadopoulou, S.A. Lappas, A.A. Voutetakis, S.S. Seferlis, P. Chemical Process Engineering Research Institute Centre for Research and Technology Hellas 6th km Charilaou-Thermi Rd. Thessaloniki GR-570 01 Greece Automation Department Alexander Technological Educational Institute of Thessaloniki PO Box 14561 GR-541 01 Thessaloniki Greece Department of Mechanical Engineering Aristotle University of Thessaloniki PO Box 484 GR-54 124 Thessaloniki Greece

ISBN: (纸本)8086059456

The main objective of this work is to improve the control performance during catalyst benchmarking experiments in the Fluid Catalytic Cracking (FCC) pilot plant operated in the chemical process engineering Research Institute (CPERI). Catalyst benchmarks require unit operation within a predefined span in order to match specified operational conditions that are requested by the industry as standard. In order to diminish cases of repetitive experiments, a non-linear Model Predictive control (MPC) strategy is implemented for the tight and efficient control of the pilot process. In an earlier work [1] a dynamic mathematical model has been developed for the simulation of the dynamic behavior of the FCC pilot plant of CPERI. The riser simulator predicts the conversion, coke yield, and heat consumed by the catalytic reactions in the pilot riser on the basis of semi-empirical models developed in CPERI [2, 3]. The pilot regenerator model uses the two-phase theory of fluidization [4] with a dilute phase model in account for post-combustion reactions [5, 6]. The dynamic simulator has been validated against steady-state and dynamic experiments performed in the pilot plant [1]. For the case of the pilot plant, the variables that may be manipulated are the catalyst circulation rate and feed preheat temperature, whereas the effects of feedstock composition and catalyst quality are considered as disturbances. The controlled variables may be the riser temperature or/and the feed conversion. These two variables differ in nature regarding their controllability aspects. The riser temperature is an online measured variable, whereas the feed conversion is a variable that can only be measured after one hour of steady state plant operation. Additionally, constraints may be imposed on the CO, NOx, and SO2 emissions of the regenerator for their partial control. As the pilot plant regenerator operates under full combustion mode the goal of minimum CO emissions can be easily achieved, yet for t

关键词： Pilot plants

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Plant-wide (BSM2) evaluation of reject water treatment with a SHARON-anommox process

Plant-wide (BSM2) evaluation of reject water treatment with ...

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作者： Volcke, Eveline I.P. Gernaey, K.V. Vrecko, Darko Jeppsson, Ulf Van Loosdrecht, M.C.M. Vanrolleghem, Peter A. BIOMATH Department of Applied Mathematics Biometrics and Process Control Ghent University Coupure Links 653 B-9000 Gent Belgium Department of Industrial Electrical Engineering and Automation Lund University PO Box 118 SE-22100 Lund Sweden Department of Chemical Engineering Technical University of Denmark Building 229 DK-2800 Kgs. Lyngby Denmark Department of Systems and Control Jožef Stefan Institute Jamova 39 SI-1000 Ljubljana Slovenia Department of Biochemical Engineering Delft University of Technology Julianalaan 67 NL-2628 BC Delft Netherlands ModelEAU Département de Génie Civil Université Laval Pavillon Pouliot Québec QC G1K 7P4 Canada

ISBN: (纸本)1843395835

In wastewater treatment plants (WWTPs) equipped with sludge digestion and dewatering systems, the reject water originating from these facilities contributes significantly to the nitrogen load of the activated sludge tanks, to which it is typically recycled. In this paper, the impact of reject water streams on the performance of a WWTP is assessed in a simulation study, using the Benchmark Simulation Model no. 2 (BSM2), that includes the processes describing sludge treatment and in this way allows for plant-wide evaluation. Comparison of performance of a WWTP without reject water with a WWTP where reject water is recycled to the primary clarifier, i.e. the BSM2 plant, shows that the ammonium load of the influent to the primary clarifier is 28% higher in the case of reject water recycling. This results in violation of the effluent total nitrogen limit. In order to relieve the main wastewater treatment plant, reject water treatment with a combined SHARON-Anammox process seems a promising option. The simulation results indicate that significant improvements of the effluent quality of the main wastewater treatment plant can be realized. An economic evaluation of the different scenarios is performed using an Operating Cost Index (OCI). © IWA Publishing 2006.

关键词： Wastewater treatment

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