Abstract
In this paper we review recent advances on the practice and theory of process control with particular emphasis to the operation of bioreactors. We present in detail a case-study on the modelling, model-based identification and adaptive control of fed-batch baker’s yeast fermentation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Åström, K.J. and Wittenmark, B. (1984) ‘Computer ControUed Systems-Theory and Design’, Prentice Hall Inc., N.Y.
Åström, K.J. and Wittenmark, B. (1989) ‘Adaptive Control’, Addison-Wesley Pub. Comp., Massachusets.
Åström, K.J. and Hagglund, T. (1988) ‘Automatic Tunning of PID Controllers’, Instruments Society of America, USA.
Aynsley, M.; Hofland, A.G.; Montague, G.A.; Peel, D. and Morris, A J. (1990) ‘A Real Time Knowledge Based System for the Operation and Control of a Fermentation Plant’, Proc.ACC, San Diego, USA, pp.1992-1997.
Bastin, G., Dochain, D. (1990) ‘On-Line Estimation and Adaptive Control of Bioreactors’, Elsevier, Amsterdam.
Beck, M.B. and Young, P.C. (1988) ‘An Introduction to System Identification, Parameter and State Estimation’, Computer Application in Fermentation Technology: Modelling and Control of Biotechnological Processes, Edts. Fish, N.M.; Fox, R.I. and Thornhill N.F., Cambridge, U.K., 25- 29 Sep.
Bequette, B.W. (1991) ‘Non-linear Control of Chemical Processes: A Review’, Ind. Eng. Chem. Res., 30,1391–1413.
Box, G.E.P. and Jenkins, G. (1971), ‘Time Series Analysis, Forecasting and Control’, Halden Day Inc., London.
Bungay, H.R. (1992) ‘Introduction to Artificial Intelligence’, In NATO ASI on the Use of Computers and Informatic Systems in the Bioprocess Engineering, Eds. A.Moreira, A.Medina, Ofir, Portugal, May, 17-29.
Cadman, T.W. (1991) ‘Advances in Bioreactor Control in Recombinant DNA Technology and Applications’, Edt. A.Prokop, R. Baijpai, C.Ho, Chapter 16,477–509, Mc Graw-Hill Inc., N.Y.
Clarke, D. W. (1990) ‘Generalized Predictive Control and its Applicaton’ Proc. of the CIM-Europe Workshop on Computer Integrated Design of Controlled Industrial Systems, Ed. J. Richalet, Sp. Tzafestas, Paris 26-27 April, pp 57-76.
Clarke, D. W. (1991) ‘Implementation of Adaptive Generalized Predictive Control’, Intensive Training Course on Model Based Predictive Control, Belgium, 7-8 Oct.
Clarke, D.W., Mohtadi, C. and Tuffs, P.S. (1987) ‘Generalized Predictive Control - Part I. The Basic Algorithm’,Automatica, 23,2,137–147
Clarke, D.W., Mohtadi, C. and Tuffs, P.S. (1987) ‘Generalized Predictive Control - Part II. Extensions and Interpretations’,Automatica, 23,2,148–160
Cooney, C.L., Raju, G.K., O’Connor, G. (1991) ‘Expert Systems and Neural Nets for Bioprocess Operation’, Int. Symp on Bioproc. Modelling and Control, EdJ.Monis, Newcastle, U.K., Jan 21-22.
de Keyser, R.M.C. and Van Canwenbergh, A. (1979) ‘A Self-tunning Multistep predictor Application’,Automatica, 17,167–174.
de Keyser, R.M.C. (1990) ‘Model Based Predictive Control Toolbox’, Proc. of the CIM-Europe Workshop on Computer Integrated Design of Controlled Industrial Systems, Ed. J. Richalet, Sp. Tzafestas, Paris 26-27 April, pp 35-56.
Deshpande, P.D. (1992) ‘Improve Quality Control On-line with PID Controllers’, Chem.EngJProg., 88,5,71–76.
Dochain, D. and Bastin, G. (1985) ‘Stable Adaptive Algorithm for Estimation and Control of Fermentation Processes’, Modelling and Control of Biotechnological Processes, Proc. IFAC Symp., Noordwijkerhout, The Netherlands, 37.
Dochain, D., (1991) ‘Design of Adaptive Controllers for Non-linear Stirred Tank Bioreactors: Extension to the MIMO Situation’, J. Proc. Cont., Vol 1, Jan.
Dochain, D., Perrier, M. and Pauss, A. (1991) ‘Adaptive Control of the Hydrogen Concentration in Anaerobic Digestion’, Ind. Eng. Chem. Res., 30,129–136.
Dochain, D., Babary, J.P., Tali-Maamar, N. (1992) ‘Modelling and Adaptative Control of Non-linear Distributed Parameter Bioreactors via Orthogonal Collocation’, to be published in Automatica.
Dochain, D., Perrier, M. and Ydstie, B.E. (1992) ‘Asymptotic Observers for Stirred Tank Reactors’, Chemical Engineering Science, Vol. 47, pp. 1–11.
Feyo de Azevedo, Pimenta, P., Ferreira, E. and Oliveira, F. (1992a) ‘Studies on On-line State and Parameter Estimation through a Real-time Process Simulator’, Proc. of the 2nd IFAC Symp. on Modelling and Control of Biotechnical Processes, Keystone, USA.
Feyo de Azevedo, Pimenta, P., Oliveira, F. (1992b) ‘Computer Based Studies on Bioprocess Engineering I - Tools for Process Analysis’, In NATO ASI on the Use of Computers and Informatic Systems in the Bioprocess Engineering, Eds. A.Moreira, A.Medina, Ofir, Portugal, May, 17-29.
Foss, A.S. (1973) ‘Critique of Chemical Process Control Theory’, AIChE J, 19,209–214.
Fowler, G. W., Higgs, R. E., Clapp, D. L., Alford, J. S., Huber, F. M. (1992) ‘Development of Real- Time Expert System Applications for the Analysis of Fermentation Respiration data’, Proc. of the 2nd IFAC Symp. on Modelling and Control of Biotechnical Processes, Keystone, USA.
Goodwin, G.C. and Sin, K.S. (1984) ‘Adaptive Filtering Prediction and Control’, Prentice-Hall, New Jersey.
Graupe, D. (1987) ‘Control Systems, Identification in Encyclopedia of Physical Science and Technology’, Vol. 3,589–617, Ac. Press Inc., N.Y.
Harmon, P. and Sawyer, B. (1990) ‘Creating Expert Systems’, J. Wiley, N.Y.
Hydrocarbon Processing (1991), Advanced Process Control Handbook VI, September
Kestenbaum, A.; Shinnar, R. and Thau, F.E. (1976) ‘Design Concepts for Process Control’, Ind. Eng. Chem. Process Des. Dev., 15,2–13.
Kosko, G. (1992) ‘Neural Networks and Fuzzy Systems’, Prentice-Hall Inc., New Jersey.
Landau, I.D. (1987) ‘Controls, Adaptive Systems in Encyclopedia of Physical Science and Technology’, Vol. 3,618–626, Ac. Press Inc., N.Y.
Lee, W. and Weekman, V.W. (1976) ‘Advanced Control Practice in the Chemical Process Industry: A View from Industry’, AIChE J, 22,27–38.
Lübbert, A. (1991), ‘Automation in Biotechnology’, in Biotechnology, Edts. Rehm, H.; Reed, G.; Puhler, A. and Stadler, P., Vol. 4,561–602, VCH, Weinheim.
Lübbert, A.; Beil, S.; Dors, M.; Havlik, I. and Simutis, R. (1992) ‘Experiences with Neural Networks in Predicting the Substrate Degradation during a Production-scale Beer Brewery Fermentation’, submitted for publication.
Martin-Sanchez, J.M. (1976) ‘A new Solution to Adaptive Control’, Proc. of IEEE, 64,8
Martin-Sanchez, J.M. (1986) ‘Adaptive Control for Time Variant Processes’, Int. J. Control, 44,315
Martin-Sanchez, J.M., Shah, S.L. and Fisher, D.G. (1984) ‘A Stable Adaptive Predictive Control System’,Int. J. Control, 39,215
Morris, A.J.; Montague, G.A.; Tham, M.T.; Ansley, M.; DiMassimo, C. and Lant, P. (1991) ‘Towards Improved Process Supervision-Algorithms and Knowlwdge Based Systems’, Int. Symp on Bioprocess Modelling and Control, EdJ.Morris, New Castle, U.K., Jan 21-22.
Mosca, E.; Zappa, G. and Manfredi, C. (1984) ‘Multi Step Horizon Self-tunning Controllers: the MUSMAR Approach’, 9th IFAC World Congress, Pergamon Press, Oxford, 155–159.
Pomerleau, Y., Perrier, M. and Dochain, D. (1989) ‘Adaptive Nonlinear Control of the Baker’s Yeast Fed-batch Fermentation’, Proceedings of the 1989 American Control Conference, June 21-23,1989, Pittsburgh.
Pomerleau, Y. and Perrier, M. (1990) ‘Estimation of Multiple Specific Growth Rates in Bioprocesses’, AIChE Journal, Vol. 36, n. 2, 207–215.
Pomerleau, Y. and Viel, G.. (1992) ‘Industrial Application of Adaptive Nonlinear Control for Baker’s Yeast Production’, Proceedings of the IFAC Symposium on Modelling and Control of Biotechival Processes, 29 March-2 April, 1992, Keystone, Colorado, USA.
Richalet, J. (1990) ‘Model Based Predictive Control in the Context of Integrated Design’, Proc. of the CIM-Europe Workshop on Computer Integrated Design of Controlled Industrial Systems, Ed. J. Richalet, Sp. Tzafestas, Paris 26-27 April, pp 3-34.
Rivera, S. and Karim, M.N. (1992) ‘On-line State Estimation in Bioreactors using Recurrent Neural Networks’, Proc. of the 2nd IFAC Symp. on Modelling and Control of Biotechnical Processes, Keystone, USA.
Saraiva, P. and Stephanopoulos, G. (1992) ‘Continuous Process Improvement through Inductive and Analogical Learning’,AIChE J, 38,161
Schügerl, K. (1988) ’On-line Analysis and Control of Production of Antibiotics, Analytica Chimica Acta, 213,1–9.
Schügerl, K (1992) ‘Bioreactor Instrumentation and Biosensors’, In NATO ASI on the Use of Computers and Informatic Systems in the Bioprocess Engineering, Eds. A. Moreira, A. Medina, Ofir, Portugal May, 17-29.
Simutis, R.; Havlik, I. and Lübbert (1992) ‘A Fuzzy-Supported Extended Kalman Filter A New Approach to Atate Estimation and Prediction of a Beer Fermentation’, submitted for publication.
Sonnleitner, B. and Kappeli, O. (1986) ‘Growth of Saccharomyces cerevisiae is controlled by its Limited Respiratory Capacity: Formulation and Verification of a Hypothesis’, Biotech. Bioeng., Vol. 28, June, pp.927–937.
Stephanopoulos, G. and Stephanopoulos, G. (1986) ‘Artificial Intelligence in the Development and Design of Biochemical Processes’, Trends in Biotechnology, 241-248.
Stock, M. (1989) ‘AI in Process Control’, Mc Graw Hill Inc., N.Y.
Twork, J.V., Yacynych, A.M. Edts. (1990) Sensors in Bioprocess of Antibiotics, Analytica Chimica Acta, 213,1–9.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Kluwer Academic Publishers
About this chapter
Cite this chapter
Feyo De Azevedo, S., Pimenta, P., Oliveira, F., Ferreira, E.C. (1996). Computer-Based Studies on Bioprocess Engineering. In: Moreira, A.R., Wallace, K.K. (eds) Computer and Information Science Applications in Bioprocess Engineering. NATO ASI Series, vol 305. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0177-3_2
Download citation
DOI: https://doi.org/10.1007/978-94-009-0177-3_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6564-1
Online ISBN: 978-94-009-0177-3
eBook Packages: Springer Book Archive