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IEEE Conference on Decision and control

作者： A. Bamimore O. Taiwo R. King Department of Chemical Engineering Obafemi Awolowo University Ile-Ife Nigeria Head of Measurement and Control Group Institute of Process and Plant Technology Sekr P2-1 Technical University of Berlin Hardenberger Str. 36a D-1063 Berlin Germany

ISBN: (纸本)9781612848006

Almost all industrial processes exhibit nonlinear dynamics, however most model predictive control (MPC) applications are based on linear models. Linear models do not always give a sufficiently adequate representation of the system and therefore Nonlinear Model Predictive control (NMPC) techniques have to be used. In this article, two techniques of NMPC, namely successive linearization nonlinear model predictive control (SLNMPC) and wiener nonlinear model predictive control (WNMPC) are applied to nonlinear process systems. The major advantage of the two methods being that the NMPC problem is reduced to a linear model predictive control (LMPC) problem at each time step which thereafter allows the optimization problem to be solved using quadratic programming (QP) techniques. Another advantage of these methods is the reduced computational time in calculating the control effort which makes them suitable for online implementation. Both simulation and experimental results show the superiority of the SLNMPC over WNMPC in handling process nonlinearity. The work also shows the favourable performance of the NMPC over LMPC, as expected.

关键词： Mathematical model Predictive models Predictive control Computational modeling Equations Optimization

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Genetically tuned decentralized proportional-integral controllers for composition control of reactive distillation

Genetically tuned decentralized proportional-integral contro...

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作者： Sumana, C. Venkateswarlu, Ch. Department of Chemical Engineering Sciences Process Dynamics and Control Group Indian Institute of Chemical Technology Hyderabad-500 007 India

This paper presents a genetic algorithm (GA) based autotuning method to design a decentralized proportionalintegral (PI) control system for composition control of a highly interactive and nonlinear reactive distillation column. The control relevant characteristics such as nonlinearities, interactions, and stability are analyzed for assessing the complexity of the process. The objective of GA tuning is to account the multivariable interactions and nonlinear dynamics of the process to find a unique set of parameters for the control system that is robust to all kinds of disturbances. The performance function in GA is formulated by incorporating the dynamic state information of the process derived from its model for various closed-loop disturbance conditions. The controller tuning problem of this multivariable process is resolved as an optimization problem and multiloop PI controllers are designed by exploiting the powerful global search features of GA. An estimator is designed to provide the compositions which serve as inferential measurements to the controllers. The performance of the proposed GA-tuned decentralized control scheme is evaluated by applying it to a metathesis reactive distillation column, and the results are compared with conventionally tuned PI controllers. The results demonstrate the better regulatory and servo performance of the GA-tuned PI controllers for composition control of reactive distillation column. © 2010 American chemical Society.

关键词： Genetic algorithms

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Modeling microbial kinetics as a function of temperature: Identification of the growth/inactivation interface

Modeling microbial kinetics as a function of temperature: Id...

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作者： Van Derlinden, E. Van Impe, J.F. Department of Chemical Engineering BioTeC - Chemical and Biochemical Process Technology and Control Katholieke Universiteit Leuven W. de Croylaan 46 B-3001 Leuven Belgium

ISBN: (纸本)9783902661708

A previous implementation of dynamic experiments for the estimation of the parameters of the Cardinal Temperature Model with Inflection (CTMI), which describes the temperature effect on the microbial growth rate, revealed that the maximum growth temperature (Tmax) can only be estimated accurately when temperatures close to the true Tmax are included. As such, a reliable Tmax estimate is required at the beginning of the OED/PE implementation. Here, alternative experiments in which the temperature exceeds the growth/inactivation interface are evaluated. Results from the simulation study show that the accuracy and reliability of the Tmax estimate depends on the selected temperature profile. A very accurate and realistic Tmax value is obtained from experiments with an initial temperature slightly lower than the true Tmax. When the dynamic temperature starts at temperatures above Tmax, a larger uncertainty and variability is observed. From this, it can be concluded that information with respect to growth at temperatures close to Tmax is required for an accurate and reliable Tmax estimate. In a second step, two dynamic temperature profiles are implemented in a computer controlled bioreactor. The experimental data do not result in an accurate and reliable estimation of T max. Additional dynamic experiments are required to evaluate the proposed experimental set-up. © 2010 IFAC.

关键词： Parameter estimation

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Locally optimal fuzzy control of a heat exchanger

Locally optimal fuzzy control of a heat exchanger

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作者： Vasičkaninová, Anna Bakošová, Monika Department of Information Engineering and Process Control Faculty of Chemical and Food Technology Slovak University of Technology Radlinského 9 81237 Bratislava Slovakia

ISBN: (纸本)9789604741991

The paper presents a fuzzy control based on parallel distributed fuzzy controllers for a heat exchanger. First, a TakagiSugeno fuzzy model is employed to represent a system. Each subcontroller is LQR designed and provides local optimal solutions. The stability of the system with the proposed fuzzy controllers is discussed. Finally, simulation results illustrate the validity and applicability of the presented approach.

关键词： Heat exchangers

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Design of robust PI controllers for control of an exothermic chemical reactor

Design of robust PI controllers for control of an exothermic...

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作者： Závacká, Jana Bakošová, Monika Vaneková, Katarína Department of Information Engineering and Process Control Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 812 37 Bratislava Slovakia

ISBN: (纸本)9789604741991

The paper presents a method for design of robust PI controllers for systems with interval uncertainty. The proposed method combines the method based on plotting the stability boundary locus in the (kp, k i)-plane with the poleplacement method. The designed approach is verified by simulations. It is implemented for robust PI controller design for the continuous stirred tank reactor with hydrolysis of propylene oxide to propylene glycol. The reactor has three uncertain parameters: the reaction enthalpy, the pre-exponential factor and the overall heat transfer coefficient. The control input is the volumetric flow rate of the coolant and the controlled output is the temperature of the reacting mixture. Mathematical model of the reactor has been obtained in the form of the 4th order transfer function with interval polynomials in the numerator and the denominator. The sixteen Kharitonov plants were created for the reactor and the method based on plotting the stability boundary locus in the plane of controller parameters combined with the poleplacement method is used for robust PI controller design.

关键词： Robust control

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Progressive PCA modeling for enhanced fault diagnosis in a batch process

Progressive PCA modeling for enhanced fault diagnosis in a b...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Jeong Jin Hong Jie Zhang Centre for Process Analytics and Control Technology (CPACT) School of Chemical Engineering and Advanced Materials University of Newcastle Newcastle-upon-Tyne UK

The conventional process monitoring procedure using principal component analysis (PCA) can show which variable is highly related with the fault by looking at the contribution plots for the monitoring statistics, SPE (squared prediction errors) and T 2 . However, this procedure is not able to determine if the variable is just affected by the fault or the variable is the cause of the fault. In addition, it is not able to show fault propagation through the process variables during the process time. The proposed progressive PCA modeling procedure can identify all variables related to the fault through progressively removing the identified variables and PCA modeling with the remaining variables. It can also provide timing information of when abnormal behaviors are observed for the identified variables by using time series SPE plots with control limits estimated by weighted chi-squared distribution. Based on the timing information, it is able to build a flow chart showing the fault propagation paths. The proposed method is demonstrated on a benchmark fed-batch penicillin process simulator.

关键词： Principal component analysis Time series analysis Monitoring Substrates Data models Timing Feeds

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Locally optimal fuzzy control of a heat exchanger

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WSEAS Transactions on Systems 2010年第9期9卷 999-1008页

The paper presents a fuzzy control based on parallel distributed fuzzy controllers for a heat exchanger. Each subcontroller is LQR designed and provides local optimal solutions. First, a Takagi-Sugeno fuzzy model is employed to represent a system. The stability of the system with the proposed fuzzy controllers is discussed. The simulation results are compared with classical PID control and illustrate the validity and applicability of the presented approach.

关键词： Lyapunov functions

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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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Sensitivity analysis of a two-dimensional microbiological risk assessment

Sensitivity analysis of a two-dimensional microbiological ri...

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作者： Busschaert, Pieter Geeraerd, Annemie H. Uyttendaele, Mieke Van Impe, Jan F. CPMF2 - Flemish Cluster Predictive Microbiology in Foods Belgium Department of Chemical Engineering BioTeC - Chemical and Biochemical Process Technology and Control Katholieke Universiteit Leuven Leuven Belgium MeBioS - Division of Mechatronics Biostatistics and Sensors Katholieke Universiteit Leuven Leuven Belgium Department of Food Safety and Food Quality Laboratory of Food Microbiology and Food Preservation Ghent University Ghent Belgium

ISBN: (纸本)9783902661708

Quantitative microbiological risk assessment aims at estimating the risk of illness that is related to a certain pathogen and food type combination through the use of simulations. A recent trend can be seen in which uncertainty about the risk estimate is characterized separately from variability, generally implemented by means of a two-dimensional Monte Carlo simulation. This research aims at identifying the key parameters that contribute to the obtained risk while keeping the effect of uncertainty and variability separated using a methodology based on analysis of variance. The risk related to Listeria monocytogenes in meat preparations is used as a case study. It is found that uncertainty about the correct dose-response model is determining the output most. Also the variability distribution of storage duration and storage temperature have a major effect on the final risk. Furthermore, uncertainty about the location of the storage duration distribution is an important factor determining risk. These findings illustrate how the methodology proposed in this research enables identification of the relative importance of all model parameters such as temperature, storage duration, food contamination, etc., and also comparison of the impact of variability versus uncertainty about model parameters on the final risk estimate. © 2010 IFAC.

关键词： Sensitivity analysis

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PI controlLER DESIGN FOR TIME DELAY SYSTEMS

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IFAC Proceedings Volumes 2010年第2期43卷 349-354页

作者： M. BakoŜová K. Vaneková J. Závacká Department of Information Engineering and Process Control Institute of Information Engineering Automation and Mathematics Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 812 37 Bratislava Slovak Republic fax: +421 2 52496469

The paper presents an approach to PI controller design for systems with varying time delay, which can be interpreted as systems with interval parametric uncertainty. The transfer function of the controlled system is modified by approximation of the time delay term by its Pade expansion or Taylor expansion in the numerator. PI controllers, that are able to assure robust stability of the feedback closed loop with the modified controlled system are found by the graphical method. Then the pole-placement method is used to specify those controller parameters, which assure certain quality of the control performance. Designed PI controllers are implemented using PLC SIMATIC S7-300 and tested by experiments on a laboratory electronic equipment with varying time delay.

关键词： PI controller pole-placement method robust control time-delay system

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