1,721,176 research outputs found
Hybrid Neural Modeling Of Bioprocesses Using Functional Link Networks
No full textThe objective of this work was to develop a model for an extractive ethanol fermentation in a simple and rapid way. This model must be sufficiently reliable to be used for posterior optimization and control studies. A hybrid neural model was developed, combining mass and energy balances with neural networks, which describe the process kinetics. To determine the best model, two structures of neural networks were compared: the functional link networks and the feedforward neural networks. The two structures are shown to describe well the process kinetics, and the advantages of using the functional link networks are discussed.98-10010091023Bhat, N., Mcavoy, T.J., (1990) Comp. Chem. Eng., 14, pp. 573-583Hussain, M.A., (1999) Artif. Intell. Eng., 13, pp. 55-68Psichogios, D.C., Ungar, L.H., (1992) AIChE J., 38, pp. 1499-1511Costa, A.C., Alves, T.L.M., Henriques, A.W.S., Maciel Filho, R., Lima, E.L., (1998) Comp. Chem. Eng., 22, pp. S859-S862Costa, A.C., Henriques, A.S.W., Alves, T.L.M., Maciel Filho, R., Lima, E.L., (1999) Braz. J. Chem. Eng., 16, pp. 53-63Zorzetto, L.F.M., Maciel Filho, R., Wolf-Maciel, M.R., (2000) Comp. Chem. Eng., 24, pp. 1355-1360Chen, S., Billings, S.A., (1992) Int. J. Control, 56, pp. 319-346Silva, F.L.H., Rodrigues, M.I., Maugeri, F., (1999) J. Chem. Tech. Biotechnol., 74, pp. 176-182Costa, A.C., Dechechi, E.C., Silva, F.L.H., Maugeri Filho, F., Maciel Filho, R., (2000) Appl. Biochem. Biotechnol., 84, pp. 577-593Andrietta, S.R., Maugeri, F., (1994) Advances in Bioprocess Engineering, pp. 47-52. , Galindo, E. and Ramirez, O. T., eds., Kluwer Academic, DordrechtAlves, J.G.L.F., (1996), MSc thesis, Faculdade de Engenharia de Alimentos, UNICAMP, Campinas, SP, BrazilRumelhart, D.E., Hinton, G.E., Williams, R.J., (1986) Nature, 323, pp. 533-536Henrique, H.M., Lima, E.L., Seborg, D.E., (2000) Chem. Eng. Sci., 55, pp. 5457-5469Henrique, H.M., (1999), MSc thesis, PEQ/COPPE/UFRJ, Rio de Janeiro, RJ, BrazilBillings, S.A., Chen, S., Korenberg, M.J., (1989) Int. J. Control, 49, pp. 2157-2189Cleran, Y., Thibault, J., Cheruy, A., Corrieu, G., (1991) J. Ferm. Bioeng., 71, pp. 356-36
Production Optimization With Operating Constraints For A Fed-batch Reactor With Dmc Predictive Control
No full textThis work presents a production optimization approach with operating constraints applied to a fed-batch penicillin process with a DMC predictive controller. A deterministic and non-structured mathematical model of the fed-batch penicillin production process solved by a fourth order variable step Runge-Kutta-Gill algorithm type simulated the system. The production process optimization has been performed through the manipulation of the initial cell and the substrate fed-batch concentrations besides the fed-batch flow rate strategy. In order to carry out this procedure it was necessary to compute a production index that considers product amount and process operating constraints such as cell, substrate and dissolved oxygen concentrations besides the bioreactor final volume through the penalty functions concept. The optimization algorithm was based on the modified simplex method. The DMC control algorithm was implemented in order to stabilize the dissolved oxygen concentration through the agitation speed manipulation. This controller was found to be appropriate to work coupled with a optimization procedure due to the fact that it gives a smooth behavior to this critical constraint even with all disturbs during the convergence.This work presents a production optimization approach with operating constraints applied to a fed-batch penicillin process with a DMC predictive controller. A deterministic and non-structured mathematical model of the fed-batch penicillin production process solved by a fourth order variable step Runge-Kutta-Gill algorithm type simulated the system. The production process optimization has been performed through the manipulation of the initial cell and the substrate fed-batch concentrations besides the fed-batch flow rate strategy. In order to carry out this procedure it was necessary to compute a production index that considers product amount and process operating constraints such as cell, substrate and dissolved oxygen concentrations besides the bioreactor final volume through the penalty functions concept. The optimization algorithm was based on the modified simplex method. The DMC control algorithm was implemented in order to stabilize the dissolved oxygen concentration through the agitation speed manipulation. This controller was found to be appropriate to work coupled with a optimization procedure due to the fact that it gives a smooth behavior to this critical constraint even with all disturbs during the convergence.5413-1427452751Edgar, T.F., Himmelblau, D.M., (1989) Optimization of Chemical Process, , New York: McGraw HillHersbach, G.J.M., The penicillins: Properties, biosynthesis, and fermentation (1984) Biotechnology of IndusTrial Antibiotics, , E.J. Vandamme (Ed.), New York: Marcel DekkerLim, H.C., Tayeb, Y.J., Modak, J.M., Bonte, P., Computational algorithms for optimal feed rates for a class of fed batch fermentation: Numerical results for penicillin and cell mass production (1986) Biotechnol. Bioeng, 28, pp. 1408-1420Luus, R., Optimization of fed batch fermentations by iterative dynamic programming (1993) Biotechnol. Bioengng, 41, pp. 599-602Marchetti, J.L., Mellichamp, D.A., Seborg, D.E., Predictive control based on discrete convolutions models (1983) Ind. Engng Chem. Process Design Dev., 22, pp. 488-495Rodrigues, J.A.D., Maciel Filho, R., Optimal feed rates strategies with operating constraints for the penicillin production process (1996) Chem Engng Sci., 51, pp. 2859-2864Rodrigues, J.A.D., Maciel Filho, R., Production phase sensitivity analysis of the penicillin process by factorial design (1996) Brazilian J. Chem. Engng, 13, pp. 107-115Rodrigues, J.A.D., Maciel Filho, R., Response surface methodology as a toll for DMC design: Application for feed-batch bioreactor (1997) Proceedings of the 1st European Congress on Chemical Engineering, 4, pp. 2599-2602San, K.Y., Stephanopoulos, G., Optimization of fed batch penicillin fermentation: A case of singular optimal control with state constraints (1989) Biotechnol. Bioengng, 34, pp. 72-78Shimizu, K., An overview on the control system design of bioreactors (1993) Adv. Biochem. Engng Biotechnol., 50, pp. 65-84Smith, J.J., Lilly, M.D., Fox, R.I., The effect of agitation on the morphology and penicillin production of Penicillium chrysogenum (1990) Biotechnol. Bioengng, 35, pp. 1011-102
Evaluation Of Atmospheric And Vacuum Residues Using Molecular Distillation And Optimization
No full textThe term atmospheric residue describes the material at the bottom of the atmospheric distillation tower having a lower boiling point limit of about 340°C; the term vacuum residue (heavy petroleum fractions) refers to the bottom of the vacuum distillation, which has an atmospheric equivalent boiling point (AEBP) above 540°C. In this work, the objective is to evaluate the behavior of different kinds of Brazilian atmospheric and vacuum residues using molecular distillation. The Falling Film Molecular Distillator was used. For the results obtained through this process, a significant range of temperature can be explored avoiding the thermal decomposition of the material. So these results are very important to the refinery decisions and improvements. The Experimental Factorial Design results showed that the temperature has more influence on the process than the feed flow rate, when a higher percentage of distillate is required.2403/04/15275283Batistella, C.B., Wolf Maciel, M.R., Recovery of carotenoids from palm oil by molecular distillation (1998) Computers and Chemical Engineering, 22, pp. S53-S60Batistella, C.B., Wolf Maciel, M.R., Maciel Filho, R., Rigorous modeling and simulation of molecular distillators: Development of a simulator under conditions of non ideality of the vapor phase (2000) Computers and Chemical Engineering, 24, pp. 81309-81315Batistella, C.B., Moraes, E.B., Maciel Filho, R., Wolf Maciel, M.R., Molecular distillation process for recovering biodiesel and carotenoids from palm oil (2002) Applied Biochemistry and Biotechnology, 98, pp. 1149-1159Batistella, C.B., Moraes, E.B., Maciel Filho, R., Wolf Maciel, M.R., Molecular distillation: Rigorous modeling and simulation for recovering vitamin e from vegetal oils (2002) Applied Biochemistry and Biotechnology, 98, pp. 1187-1206Boss, E.A., Vasco De Toledo, E.C., Maciel Filho, R., Freeze drying process theoretical model and simulation (2002) Proceedings of the 51st Canadian Chemical Engineering Conference, , Halifax, Nova Scotia, CanadaCvengros, J., Lutisan, J., Micov, M., Feed temperature influence on the efficiency of molecular evaporator (2000) Chem. Eng. J., 78, pp. 61-67Kalil, S.J., Maugeri, F., Rodrigues, M.I., Response surface analysis and simulation as a tool for bioprocess design and optimization (2000) Process Biochemistry, 35, pp. 539-550Madhusudan, K.R., High-temperature simulated distillation CG analysis of petroleum resids and their products from catalytic upgrading over Co-Mo/Al2O 3 catalyst (1998) Catalysis Today, 43, pp. 187-202Medenica, M., Jancic, B., Ivanovic, D., Malenovic, A., Experimental design in reversed-phase high-performance liquid chromatography analysis of imatinib mesylate and its impurity (2004) J. Chromatogr. A, 1031, pp. 243-248Moraes, E.B., Batistella, C.B., Torres Alvarez, M.E., Maciel Filho, R., Wolf Maciel, M.R., Evaluation of tocopherol recovery through simulation of molecular distillation process (2004) Applied Biochemistry and Biotechnology, 113-116, pp. 689-711Vasco De Toledo, E.C., (1999), PhD thesis, UN1CAMP, LOPCA, Campinas-SP, Brazi
Mathematical Development For Scaling-up Of Molecular Distillators: Strategy And Test With Recovering Carotenoids From Palm Oil
No full textStudies for recovering carotenoids from palm oil were developed in the Separation Process Development Laboratory (LDPS-FEQ-UNICAMP) through molecular distillation process (modeling, simulation and experiments) (Batistella and Maciel, 1998; Batistella et al., 2002). All the studies, however, have involved laboratory scale distillators, but due to the success of the developments, a lot of industrial applications are becoming possible. So, aiming to design molecular distillators with industrial dimensions, it is important to develop a methodology looking for an easy and fast form for scaling-up, which is the aim of this work. The procedure makes use of the knowledge obtained from the simulation and operational strategy developed for small scale equipment. Moreover, the nonideality condition of the vaplor phase was considered on the developments of the scale-up (Batistella et al., 2000), since this an important macrobehaviour to be considered. The obtained results show that the developed methodology is robust. © 2006 Elsevier B.V. All rights reserved.21C11131118Batistella, C.B., Moraes, E.B., Wolf Maciel, M.R., Experimental and Simulated Elimination Curves for recovering Carotenoids From Vegetal Oil Through Molecular Distillation Process (2003) Chemical Engineering Transactions, 3, pp. 569-574Batistella, C.B., Moraes, E.B., Wolf-Maciel, M.R., Maciel Filho, R., Molecular distillation Process for Recovering Biodiesel and Carotenoids from Palm Oil (2002) Applied Biochemistry and Biotechnology, 98, pp. 1149-1159Batistella, C.B., Wolf-Maciel, M.R., Maciel Filho, R., Rigorous modeling and simulation of molecular distillators: development of a simulator under conditions of non ideality of the vapor phase (2000) Computers and Chemical Engineering, 24, pp. 1309-1315Batistella, C.B., Moraes, E.B., Wolf-Maciel, M.B., Maciel Filho, R., Strategy and Mathematical Development for Scale-up of Molecular Distillators for Recovering Carotenoids from Palm Oil (2000) Computer-Aided Chemical Engineering, 8, pp. 505-510Batistella, C.B., Maciel, M.R.W., Recovery of Carotenoids from Palm Oil by Molecular Distillation (1998) Computers & Chemical Engineering, 22, pp. S53-S60Batistella, C.B., Maciel, M.R.W., Modeling, Simulation and Analysis of Molecular Distillators: Centrifugal and Falling Film (1996) Computers, Chemical Engineering, 20 (SUPPL), pp. S19-S24Bhandarkar, M., Ferron, J.R., Transport Process in Thin Liquid Films during High-Vacuum Distillation (1988) Ind. Eng. Chem. Soc., 27, pp. 1016-1024Batistella, C.B., Modelagem e simulação de destiladores moleculares de filme descendente e centrifugo (1996) Master Thesis-UNICAMP, Campinas-SP-BrazilBird, G.A., Direct Simulatioin and the Boltzmann Equation (1970) The Physics of Fluids, 13, pp. 2676-2681Borgnakke, C., Larsen, P.S., Statistical Collision Model for Monte Carlo Simulation of Polyatomic Gas Mixture (1975) J. Comput. Phys., 18, pp. 405-420Ferron, J.R., Evaporation and Condensation of Mixture under Rarefield Conditions (1986) Ind. Eng. Che. Fund., 25, pp. 594-602Langmuir, I., The vapor pressure of metallic tungsten (1913) Phys. Rev. Ser., 2 (2), pp. 329-34
Application Of A Novel Approach For Dmc Predictive Controller Design By Response Surface Analysis In A Fed-batch Bioreactor
No full textThis work presents a novel approach for tuning a predictive DMC controllerimplemented in a fed-batch penicillin bioreactor in order to stabilize the dissolved oxygen concentration by agitation speed manipulation. The operating process variables were calculated by a deterministic and non-structured model solved by a fourth order Runge-Kutta-Gill numerical technique with variable steps. The parametersof the model were obtained from experiments and the literature. The estimated parameters of the DMC controller were model, prediction and control horizons, suppression factor and reference trajectory. The tuning approach employed complete factorial design in order to estimate the influenceof these parameterson the integral of the absolute error between the controlled variable and the set point. Response surface analysis provided the optimal parameters. This study showed negligible influence of model, predictionand control horizons while the suppression factor and reference trajectory were very important for the controller. Another important feature of the DMC controller was the that the parameters had negligible influence on each other making design of the controller easier. The performance of the DMC controller was evaluated using several delay times and sample periods of the controlled variable. The behavior of this predictive controller was better than a PID controller tunedby the Modified Simplex method. © 1999 Elsevier Science Ltd.All rights reserved.23SUPPL. 1S293S296Box, G.E.P., Hunter, W.G., Hunter, J.S., (1978) Statistics for Experimenters - An Introduction to Design Data Analysisand Model Building, , Wiley& Sons, NewYorkEdgar, T.F., Himmelblau, D.M., (1989) Optimization of Chemical Process, , McGraw-Hill, SingapareFisher, D.G., Process Control: An Overview and PersonalPerspective (1991) Can. J. Chern. Eng., 69, pp. 5-26Marchetti, J.L., Mellichamp, D.A., Seborg, D.E., Predictive Control Based on Discrete Convolutions Models (1983) Ind Eng. Chern. Proc. Des. Dev., 22, pp. 488-495Lee, S.C., Hwang, Y.B., Chang, H.N., Chang, Y.K., Adaptive Control of Dissolved Oxygen Concentration in a Bioreactor (1991) Biotech. Bioeng., 37, pp. 597-607Luyben, W.L., (1990) Process Modeling, , Simulationand Control for Chemical Engineers. 2nd Ed, McGraw-Hill, SingaporeRodrigues, J.A.D., Maciel Filho, R., Optimal Feed Rates Strategies with Operating Constraints for the Penicillin Production Process (1996) Chern. Eng. Sci., 51, pp. 2859-2864Rodrigues, J.A.D., Maciel Filho, R., Production Phase SensitivityAnalysis of the Penicillin Process by Factorial Design (1996) Braz. J. Chern. Eng., 13, pp. 107-115Shimizu, K., An Overview on the Control System Designof Bioreaetors (1993) Adv. Bioch. Eng.Biotech., 50, p. 6584Siegel, S.D., Gaden E.L., Jr., Automatic Control of Dissolved Oxygen Levels in Fermentation (1962) Biotech. Bioeng., 4, pp. 345-35
Evaluation Of Optimization Techniques For An Extractive Alcoholic Fermentation Process
No full textThe mathematical optimization of a continuous alcoholic fermentation process combined with a flash column under vacuum was studied. The objective was to maximize % yield and productivity in the fermentor. The results using surface response analysis combined with modeling and simulation were compared withy those obtained when the problem was written as a nonlinear programming problem and was solved with a successive quadratic programming (SQP) technique. Two process models were evaluated when the process was optimized using the SQP technique. The first one is a deterministic model, whose kinetic parameters were experimentally determined as functions of the temperature, and the second is a statistical model obtained using the factorial design technique combined with simulation. Although the best result was the one obtained using the rigorous model, the values for productivity and % yield obtained using the simplified model are acceptable, and these models can be used when the development of a rigorous model is excessively difficult, slow, or expensive.1141-3485496Atala, D.I.P., Costa, A.C., Maciel, R., Maugeri, F., (2001) Appl. Biochem. Biotechnol., 91 (3), pp. 353-365Harada, L.H.P., Costa, A.C., Maciel Filho, R., (2002) Appl. Biochem. Biotechnol., 98 (1-3), pp. 1009-1024Silva, F.L.H., Rodrigues, M.I., Maugeri, F., (1999) J. Chem. Tech. Biotechnol., 74, pp. 176-182Andrietta, S.R., Maugeri, F., (1994) Adv. Bioprocess Eng., pp. 47-52Costa, A.C., Atala, D.I.P., Maciel Filho, R., Maugeri Filho, F., (2001) Process Biochem., 37 (2), pp. 125-137Costa, A.C., Meleiro, L.A.C., Maciel Filho, R., (2002) Process Biochem., 38 (5), pp. 743-750Monbouquette, H.G., (1987) Biotechnol Bioeng., 29, pp. 1075-1080Monbouquette, H.G., (1992) Biotechnol Bioeng., 39, pp. 498-503Kalil, S.J., Maugeri, F., Rodrigues, M.I., (2000) Process Biochem., 35, pp. 539-55
True Boiling Point Extended Curve Of Vacuum Residue Through Molecular Distillation
No full textMolecular distillation is a separation process that explores high vacuum, operation at reduced temperatures, and low exposition of the material at the operating temperature. The term vacuum residue (heavy petroleum fractions) refers to the bottom of the vacuum distillation, which has an atmospheric equivalent temperature (AET) above 540°C. For the assay of the properties of petroleum and petroleum products, the use of the true boiling point (TBP) distillation analysis is accepted as a common practice; however, for heavy petroleum fractions, some difficulties appear for determination of TBP of these petroleum fractions. The objective of this work is to develop a new and a more appropriated method to extend the TBP curve to use it for characterizing vacuum residue of heavy petroleum. The falling film molecular distillator was used. The results showed that it is possible to extend the TBP curve through molecular distillation process with very good precision.2403/04/15265274Batistella, C.B., Wolf Maciel, M.R., Recovery of carotenoids from palm oil by molecular distillation (1998) Computers and Chemical Engineering, 22, pp. S53-S60Batistella, C.B., Wolf Maciel, M.R., Maciel Filho, R., Rigorous modeling and simulation of molecular distillators: Development of a simulator under conditions of non ideality of the vapor phase (2000) Computers and Chemical Engineering, 24, pp. S1309-S1315Batistella, C.B., Moraes, E.B., Maciel Filho, R., Wolf Maciel, M.R., Molecular distillation process for recovering biodiesel and carotenoids from palm oil (2002) Applied Biochemistry and Biotechnology, 98, pp. 1149-1159Batistella, C.B., Moraes, E.B., Maciel Filho, R., Wolf Maciel, M.R., Molecular distillation: Rigorous modeling and simulation for recovering vitamin e from vegetal oils (2002) Applied Biochemistry and Biotechnology, 98, pp. 1187-1206Lutisan, J., Micov, M., Cvengros, J., Feed temperature influence on the efficiency of a molecular evaporator (2000) Chem. Eng. J., 78, pp. 61-67Maciel Filho, R., Wolf Maciel, M.R., Sbaite, P., Vasconcelos, C.J.G., Batistella, C.B., Winter, A., Gomes, A., Kunert, R., (2005) Internal Report, , Laboratory of Separation Process Development (LDPS), Laboratory of Optimization, Design and Advanced Control (LOPCA), Faculty of Chemical Engineering, State University of Campinas (UNI-CAMP), BrazilMadhusudan, K.R., High-temperature simulated distillation CG analysis of petroleum resids and their products from catalytic upgrading over Co-Mo/Al2O 3 catalyst (1998) Catalysis Today, 43, pp. 187-202Moraes, E.B., Batistella, C.B., Torres Alvarez, M.E., Maciel Filho, R., Wolf Maciel, M.R., Evaluation of tocopherol recovery through simulation of molecular distillation process (2004) Applied Biochemistry and Biotechnology, 113-116, pp. 689-711Suelves, I., Islas, C.A., Milan, M., Galmies, C., Carter, J.F., Herod, A.A., Kandiyoti, R., Chromatographic separations enabling the structural characterization of heavy petroleum residues (2003) Fuel, 82, pp. 1-14Yang, G.E., Wang, R.A., The supercritical fluid extractive fractionation and the characterization of heavy oils and petroleum residua (1999) J. Petroleum Sci. Eng., 22, pp. 47-5
Analysis Of Parametric Sensibility Of The Process Of Production Of Cyclohexanol
No full textThe main objective of this paper is to carry out a parametric sensibility analysis for a cyclohexanol production multiphase reactor. Firstly, the mathematical steady-state model validated with industrial data, based on mass, energy and momentum balances, was submitted to a fractional factorial design. This method allows the understanding of interactions between variables with advantages over conventional methods, which involve changing one variable while fixing the others at certain levels. From this, some variables could be neglected and a complete factorial design could be developed. Using this procedure was possible to identify not only the main effects of the variables, but also the interaction effects among these variables. The behavior of the cyclohexanol reactor was extensively studied bearing in mind the determination of control strategies and optimization. © 2002 Elsevier B.V. All rights reserved.10C781786Box, G.E.P., Hunter, W.G., Hunter, J.S., (1978) Statistics for experimenters. An introduction to design, data analysis and model building, , Wiley, New YorkSantana, P.L., Mathematical Modeling for three phase reactor: dterministic, neural and hybrid models (1999) PhD Thesis, , (in Portuguese), School of Chemical Engineering, Unicamp, São Paulo, BrazilToledo, E.C.V., Santana, P.L., Maciel, M.R.W., Maciel Filho, R., Dynamic Modelling of a Three-Phase Catalytic Slurry Reactor (2002) Chemical Engineering Science, , To appear in. presented at 5th International Conference on Gas-Liquid and Gas-Liquid-Solid Reactor Engineering - GLS 5, 6th World Congress of Chemical Engineering. Melbourne, Australi
Advanced Control Strategy To A Fermentation Process To Obtain Ethanol
No full textThe aim of this work is to evaluate the performance of a non linear control strategy based on Artificial Neural Networks (ANN's) for an extractive alcoholic fermentation process (MIMO 3x3). The process is simulated through a validated deterministic model which takes into account the main phenomena taking place in the system. The control is build-up by a multilayered and multivariable ANN that represents the inverse dynamics of the system, which is on-line trained through an optimization routine. The optimization routine adjusts the weight of neural controller using the estimate global error of closed loop. The global error is obtained using a dynamic model of the process, to represent a prediction for the next sampling time. This process model is on-line trained with the process data. The obtained results have shown the efficiency of control strategy in multivariable system and the potential of proposed on-line learning.Bhat, N., Use of neural nets for dynamic modeling and control of chemical process systems (1990) Comput. Chem. Eng, 14, pp. 573-582. , & McAvoyAndrietta SR, Maugeri F.(1994). Optimum Design of a Continuous Fermentation Unit of an Industrial Plant for Alcohol Production. Adv. Bioprocess Eng., 47-52Atala, D.I.P., Costa, A.C., Maciel Filho, R., Maugeri, F., Kinetics of Ethanol Fermentation with High Biomass Concentration Considering the Effect of Temperature (2001) Applied Biochemistry and Biotechnology, 91, pp. 353-365Bhat, N., McAvoy, T., Use of neural nets for dynamic modeling and control of chemical systems (1990) Computers & Chemical Engineering, 14, pp. 573-582Bulsari, A.B., (1995) Neural Networks for Chemical Engineers, , Amsterdam: ElsevierChristen, M., Minier, M., Renon, H., Ethanol extraction by supported liquid membrane during fermentation (1990) Biotechnol. Biong, 3, pp. 116-123Cybeko, G., Approximation by superposition of a sigmoidal function (1989) Mathematics of Control Signals and Systems, 2, pp. 303-314Costa, A.C., Atala, D.I.P., Maciel Filho, R., Maugeri Filho, F., Factorial Design and simulation for the Optimization and Determination of Control Structures for an Extractive Alcoholic Fermentation (2001) Process Biochemistry, 37 (2), pp. 125-137Duarte, E.R., (2004) Estratégia de Controle Não Linear Baseada em Redes Neurais Artificiais com Aprendizagem "On-line", , Msc. Thesis. BrasilEnder, L., Maciel Filho, R., Design of multivariable controller based on neural networks (2000) Computers & Chemical Engineering, 24, pp. 937-943Fissore, D., Barresi, A.A., Manca, D., Modelling of methanol synthesis in a network of forced unsteady-state ring reactors by artificial neural networks for control pusposes (2004) Chemical Engineering Science, 59, pp. 4033-4041Hecht-Nielsen, R., (1989) Neurocomputing, , Addisin-Wesley Publishing Company, Reading, MAHérnandez, E., Arkun, Y., A study of control relevant properties of back-propagation neural netwok models of nonlinear dynamical system (1992) Computers &Chemical Engineering, 16, pp. 227-240Henson, M.A., Non-linear model predictive control: Current status and future directions (1998) Computers & Chemical engineering, 23, pp. 87-202Hunt, K.J., Sbarbaro, D., Neural networks for nonlinear internal model control (1992) IEE Proceedings, 138 (PART D), pp. 341-348Ishida K. and Shimizu K. (1996). Novel repeated batch operation for flash fermentation system: experimental data and mathematical modeling. Journal of Chem. Technol. Biotechnol. 66, 340-346Jutan, A., Krishnapura, V.G., A neural adaptive controller (2000) Chemical Engineering Sciense, 55, pp. 3803-3812Jimenez-Marquez, S.A., Thibault, J., Lacroix, C., (2004) Prediction of moisture in cheese of commercial production using neural networks, , International Dairy JournalMaiorella, B.L., Blanch, H.W., Wilke, C.R., Biotechonology report - Economic evaluation of alternative ethanol fermentation processes (1984) Biotechnol. Bioeng, 26, pp. 1003-1025Mjali, F.S., Neural network model-based predictive control of liquid-liquid extraction contactors (2005) Chemical Engineering Sciense, 60, pp. 239-253Meleiro, L.A.C., Maciel Filho, R., Campello, R.J.G.B., Amaral, W.C., (2001) Application of Neural Networks and Other Learning Technologies in Process Engineering, Imperial College Press, Capítulo: Hierarchical Neural Fuzzy Models as a Tool for Process Identification: A Bioprocess AplicationMinier, M., Goma, G., Ethanol production by extractive fermentation (1982) Biotechnol. Bioeng, 24, pp. 1565-1579Psichogios, D.C., Ungar, L.H., Direct and Indirect Model based on Control Using Artificial Networks (1991) Industrial Engineering & Chemical Research, 30, pp. 2564-2573Sarkar, D., Modak, J.M., ANNSA: A hybrid artificial neural network / simulated annealing algorithm for optimal control problems (2003) Chemical Engineering Science, 58, pp. 3131-3142Silva, F.L.H., Rodrigues, M.I., Maugeri, F., Dynamic Modeling, Simulation and Optimization of an Extractive Continuous Alcoholic Fermentation (1999) Journal Chem. Tech. Biotechnol, 74 (2), pp. 176-182Taylor F. Kurantz M. J., Goldberg N., Craig J. C. (1998). Kinetics of continuous fermentation and stripping of ethanol. Bioechnol. Lett, 20, 67-72Ungar, L.H., Powell, B.A., Kamens, S.N., Adaptive networks for fault diagnosis and process control (1990) Computers & Chemical Engineering, 14, pp. 561-57
Optimal Fuzzy Control Of Batch Polymerization Reactors: Application To Pmma Production For Biomedical Purposes
No full textThe use of polymers in the biomedical field requires that such materials have a high degree of purity and specific properties, so that their production processes must be continuously monitored and manipulated. However, the control of polymerization reactors is considered a challenging task since such systems present non-linear and transient behaviour. In this study, in order to produce poly(methyl methacrylate) scaffolds for bone tissue engineering applications, an advanced control methodology based on fuzzy models and genetic algorithms (GA) was developed to control the temperature of a pilot-scale jacketed batch reactor in which methyl methacrylate polymerization takes place. Firstly, an optimal temperature trajectory was estimated using GA. Then, a fuzzy controller was designed and applied to adjust the reactor temperature to the instantaneous profile previously calculated. The proposed control algorithm was compared to conventional PID controller, proving to be robust and more suitable and reliable for such process type. © 2014 Elsevier B.V.33799804Atala, A., Lanza, R., Thomson, J., Nerem, R., (2011) Principles of Regenerative Medicine, , Academic Press, Elsevier, Oxford, UKAziz, N., Mujtaba, I., Optimal Operation Policies in Batch Reactors (2002) Chemical Engineering Journal, 85, pp. 313-325Carroll, D., (2001) Fortran Genetic Algorithm (GA) Driver, , www.cuaerospace.com/carroll/ga.html, Accessed on 20.07.2011Lima, N., Zuniga, L., Manenti, F., Maciel Filho, R., Embiruju, M., Wolf Maciel, M., Novel Two-Steps Optimal Control of a Batch Polymerization Reactors and Application to PMMA Production for the Fabrication of Artificial Bone Tissue (2013) Computer Aided Chemical Engineering, 32, pp. 163-168Lima, N., Zuniga, L., Maciel Filho, R., Wolf Maciel, M., Embiruçu, M., Grácio, F., Modeling and Predictive Control using Fuzzy Logic: Application for a Polymerization System (2010) AIChE Journal, 56, pp. 965-978Liu, Z., Kadar, R., Kind, M., Hydrodynamic Activation of the Batch-Polymerization of Mehtyl Methacrylate in a Taylor-Couette Reactor (2011) Macromolecular Symposia, Weinheim, Germany, 302, pp. 169-178Zuniga, L., Lima, N., Tovar, L., Manenti, F., Maciel Filho, R., Wolf Maciel, M., Embiruçu, M., Pilot-plant Simulation (2012) Experimental Campaign and Rigorous Modeling of a Batch MMA Polymerization Reactor for the Fabrication of Bone Tissue, Computer Aided Chemical Engineering, 30, pp. 1352-135
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