Control of fermenters - A review

Bioprocess Engineering

Volumn 21, Issue 1, 1999, Pages 77-88

  Rani, K Yamuna ^a   Rao, V S Ramachandra ^b  

^a INDIAN INSTITUTE OF CHEMICAL TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

[No Author keywords available]

Indexed keywords

DISSOLVED OXYGEN;

ADAPTATION; ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; FERMENTATION; OXYGEN CONCENTRATION; PH; PRIORITY JOURNAL; REVIEW; TEMPERATURE;

EID: 0032818074     PISSN: 0178515X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s004490050644     Document Type: Review

References (103)

1. 1. Bogle, D.L.; Cockshott, A.R.; Bulmer, M.; Thornhill, N.; Gregory, M.; Dehghani, M.: A process systems engineering view of biochemical process operations. Comput. Chem. Eng. 20(6/7) (1996) 943-949
2. 2. Johnson, A.: The control of fed-batch fermentation processes - a survey, Automatica 23(6) (1987) 691-705
3. 3. Modak, J.M.; Lim, H.C.: Optimal mode of operation of bioreactor for fermentation processes. Chem. Eng. Sci. 47(15/16) (1992) 3869-3884
4. 4. Menawat, A.S.; Balachander, J.: Alternate control structures for chemostat. A.I.Ch.E. J. 37(2) (1991) 302-306
5. 5. Zhao, Y.; Skogestad, S.: Comparison of various control configurations for continuous bioreactors. Ind. Eng. Chem. Res. 36(3) (1997) 697-705
6. 6. Dochain, D.; Bastin, G.: Adaptive identification and control algorithms for nonlinear bacterial growth systems. Automatica 20(5) (1984) 621-634
7. 7. Renard, P.; Dochain, D.; Bastin, G.; Naveau, H.; Nyns, E.H.: Adaptive control of anaerobic digestion processes - a pilot scale application. Biotechnol. Bioeng. 31(3) (1988) 287-294
8. 8. Suarez-Cortez, R.; Alvarez-Gallegos, J.; Gonzales-Mora, E.: Sliding controller design for a nonlinear fermentation system. Biotechnol. Bioeng. 33(4) (1989) 377-385
9. 9. Dochain, D.; Perrier, M.: Dynamical modelling, analysis, monitoring and control design for nonlinear bioprocesses. Adv. Biochem. Eng. Biotechnol. 56 (1997) 147-197
10. 10. Rolf, M.J.; Lim, H.C.: Adaptive on-line optimization for chemical bioreactors. Chem. Eng. Commun. 29 (1984) 229-255
11. 11. Rolf, M.J.; Lim, H.C.: Experimental adaptive on-line optimization of cellular productivity of a continuous baker's yeast culture. Biotechnol. Bioeng. 27(8) (1985) 1236-1245
12. 12. Harmon, J.; Svoronos, S.A.; Lyberatos, G.: Adaptive steady-state optimization of biomass productivity in continuous fermentors. Biotechnol. Bioeng. 30(3) (1987) 335-344
13. 13. Hamer, J.W.; Richenberg, C.B.: On-line optimizing control of a packed-bed immobilized cell reactor. A.I.Ch.E. J. 34(4) (1988) 626-632
14. 14. Semones, G.B.; Lim, H.C.: Experimental multivariable adaptive optimization of the steady-state cellular productivity of a continuous baker's yeast culture. Biotechnol. Bioeng. 33(1) (1989) 16-25
15. 15. Rani, K.Y.; Gangiah, K.: Adaptive on-line optimizing control of bioreactors: a two-phase approach. Indian J. Technol. 30(1) (1992) 1-6
16. 16. Nguang, S.K.; Chen, X.D.: Simple substrate feeding rate control mechanism for optimizing the steady state productivity of a class of continuous fermentation processes. Biotechnol. Prog. 13(2) (1997) 200-204
17. 17. Patwardhan, S.C.; Madhavan, K.P.: Nonlinear predictive control using approximate second order perturbation model. Ind. Eng. Chem. Res. 32 (1993) 334-344
18. 18. Saha, P.K.; Patwardhan, S.C.; Rao, V.S.R.: Maximizing productivity of a continuous fermenter using nonlinear adaptive optimizing control. Bioprocess Eng. (1998) (in press)
19. 19. Allgower, F.; Ogunnaike, B.A.: Dual-mode adaptive control of nonlinear processes. Comput. Chem. Eng. 21 (Suppl.) (1997) S155-S160
20. 20. Arnold, S.G.; Mclellan, P.J.; Daugulis, A.J.: Dynamic modeling and performance optimization of an extractive fermentation. Can. J. Chem. Eng. 74(3) (1996) 385-393
21. 21. Henson, M.A.; Seborg, D.E.: Nonlinear control strategies for continuous fermenters. Chem. Eng. Sci., 47(4) (1992) 821-835
22. 22. Rangiah, G.P.; Hu, Q.: Robust Control of a Continuous Fermenter. Proceedings of the Indian Institute of Chemical Engineers Golden Jubilee Congress, New Delhi (Dec. 15-18, 1997) 1059-1067
23. 23. Ramseier, M.; Agrawal, P.; Mellichamp, D.A.: Nonlinear adaptive control of fermentation processes utilizing a priori knowledge. Proc. ACC (1991) 1305-1310
24. 24. Dochain, D.; Perrier, M.; Pauss, A.: Adaptive control of the hydrogen concentration in anaerobic digestion. Ind. Eng. Chem. Res. 30(1) (1991) 129-136
25. 25. Dochain, D.: Adaptive control algorithms for nonminimum phase nonlinear bioreactors. Comput. Chem. Eng. 16(5) (1992) 449-462
26. 26. Ferriera, E.C.; De Azevedo, S.F.: Adaptive linearizing control of bioreactors. UK ACC International Conf. Control'96. 2 (1996) 1184-1189
27. 27. Mclain, R.B.; Kurtz, M.J.; Henson, M.A.: Habituating control for nonsquare nonlinear processes. Ind. Eng. Chem. Res. 35(11) (1996) 4067-4077
28. 28. Pertev, C.; Turker, M.; Berber, R.: Dynamic modeling, sensitivity analysis and parameter estimation of industrial yeast fermenters. Comput. Chem. Eng. 21 (Suppl.) (1997) S739-S744
29. 29. You, Y.; Nikolaou, M.: Dynamic process modeling with recurrent neural networks. A.I.Ch.E. J. 39(10) (1993) 1654-1667
30. 30. Baughman, D.R.; Liu, Y.A.: Neural networks in bioprocessing and chemical engineering, Academic press (1995) 235-269
31. 31. Farza, M.; Othman, S.; Hammouri, H.; Bistin J.: A nonlinear approach for the on-line estimation of kinetic rates in bioreactors: Application to a lactic acid production process. Bioprocess Eng. 17(3) (1997) 143-150
32. 32. Farza, M.; Othman, S.; Hammouri, H.; Fick, M.: Discrete time nonlinear observer based estimators for the on-line estimation of kinetic rates in bioreactors. Bioprocess Eng. 17(4) (1997) 247-255
33. 33. Cardello, R.J.; San, K.Y.: The design of controllers for batch bioreactors. Biotechnol. Bioeng. 32(8) (1988) 519-526
34. 34. Shimizu, K.: A tutorial review on bioprocess systems engineering. Comput. Chem. Eng. 20(6/7) (1996) 915-941
35. 35. Chen, L.; Bastin, G.; Breusegem, V.V.: A case study of adaptive nonlinear regulation of fed-batch biological reactors. Automatica 31(1) (1995) 55-65
36. 36. Modak, J.M.; Lim, H.C.; Tayeb, Y.J.: General characteristics of optimal feed rate profiles for various fed-batch fermentation processes. Biotechnol. Bioeng. 28(9) (1986) 1396-1407
37. 37. Holmberg, A.; Ranta, J.: Procedures for parameter and state estimation of microbial growth process models. Automatica 18(2) (1982) 181-193
38. 38. Stephanopoulos, G.; San, K.Y.: Studies on on-line bioreactor identification. I. Theory. Biotechnol. Bioeng. 26(10) (1984) 1176-1188
39. 39. San, K.Y.; Stephanopoulos, G.: Studies on on-line bioreactor identification. II. Numerical and experimental results. Biotechnol. Bioeng. 26(10) (1984) 1189-1197
40. 40. Grosz, R.; Stephanopoulos, G.; San, K.Y.: Studies on on-line bioreactor identification. III. Sensitivity problems with respiratory and heat evolution measurements. Biotechnol. Bioeng. 26(10) (1984) 1198-1208
41. 41. San, K.Y.; Stephanopoulos, G.: Studies on on-line bioreactor identification. IV. Utilization of pH measurements for product estimation. Biotechnol. Bioeng. 26(10) (1984) 1209-1218
42. 42. Chattaway, T.; Stephanopoulos, G.: Adaptive estimation of bioreactors: monitoring plasmid instability. Chem. Eng. Sci. 44(1) (1989) 41-48
43. 43. Babila, T.A.; Robinson, D.K.: In pursuit of the optimal fed-batch process for monoclonal antibody production. Biotechnol. Prog. 11(1) (1995) 1-13
44. 44. Tartakovsky, B.; Ulitzur, S.; Sheintuch, M.: Optimal control of fed-batch fermentation with auto-induction of metabolite production. Biotechnol. Prog. 11(1) (1995) 80-87
45. 45. Banga, J.R.; Alonso, A.A.; Singh, R.P.: Stochastic dynamic optimization of batch and semicontinuous bioprocesses. Biotechnol. Prog. 13(3) (1997) 326-335
46. 46. Carrasco, E.F.; Banga, J.R.: Dynamic optimization of batch reactors using adaptive stochastic algorithms. Ind. Eng. Chem. Res. 36(6) (1997) 2252-2261
47. 47. Wang, F.S.; Shyu, C.S.: Optimal feed policy for fed-batch fermentation of ethanol production by Zymomous mobilis. Bioprocess Eng. 17(2) (1997) 63-68
48. 48. Nestaas, E.; Wang, D.I.C.: Computer control of the penicillin fermentation using the filtration probe in conjunction with a structured model. Biotechnol. Bioeng. 25(3) (1983) 781-796
49. 49. Gudi, R.D.; Shah, S.L.; Gray, M.R.; Yagneswaran, P.K.: Adaptive multirate estimation and control of nutrient levels in a fed-batch fermentation using off-line and on-line measurements. Can. J. Chem. Eng. 75(3) (1997) 562-573
50. 50 Boskovic, J.D.: Novel feeding strategy for adaptive control of bioreactor processes. Journal of Process Control. 7(3) (1997) 209-217
51. 51. Modak, J.M.; Lim, H.C.: Feedback optimization of fed-batch fermentation. Biotechnol. Bioeng. 30(9) (1987) 528-540
52. 52. San, K.Y.; Stephanopoulos, G.: A note on the optimality criteria for maximum biomass production in a fed-batch fermenter. Biotechnol. Bioeng. 26(10) (1984) 1261-1264
53. 53. Lim, 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. Biotechnol. Bioeng. 28(9) (1986) 1408-1420
54. 54. Cazzador, L.: On the optimal control of fed-batch reactors with substrate-inhibited kinetics. Biotechnol. Bioeng. 31(5) (1988) 670-674
55. 55. Hong, J.: Optimal substrate feeding policy for a fed-batch fermentation with substrate and product inhibition kinetics. Biotechnol. Bioeng. 28(9) (1986) 1421-1431
56. 56. Chen, C.T.; Hwang, C.: Optimal on-off control for fed-batch fermentation processes. Ind. Eng. Chem. Res. 29(9) (1990) 1869-1875
57. 57. Renfro, J.G.; Morshedi, A.M.; Asbjornsen, O.A.: Simultaneous optimization and solution of systems described by differential/algebraic equations. Comput. Chem. Eng. 11(5) (1987) 503-517
58. 58. Cuthrell, J.E.; Biegler, L.T.: Simultaneous optimization and solution methods for batch reactor control profiles. Comput. Chem. Eng. 13(1/2) (1989) 49-62
59. 59. Gee, D.A.; Ramirez, W.F.: Optimal temperature control for batch beer fermentation. Biotechnol. Bioeng. 31(2) (1988) 224-234
60. 60 Ramirez, W.F.: Optimal state and parameter estimation. an application to batch fermentation. Chem. Eng. Sci. 42(11) (1987) 2749-2756
61. 61. Park, S.; Ramirez, W.F.: Optimal regulatory control of bioreactor nutrient concentration incorporating system identification. Chem. Eng. Sci. 45(12) (1990) 3467-3481
62. 62. Park, S.; Ramirez, W.F.: Optimal production of secreted protein in fed-batch reactors. A.I.Ch.E.J. 34(9) (1988) 1550-1558
63. 63. Lee, J.; Ramirez, W.F.: Optimal fed-batch control of induced foreign protein production by recombinant bacteria. A.I.Ch.E.J. 40(5) (1994) 899-907
64. 64. Menawat, A.; Mutharasan, R.; Coughanowr, R.: Singular optimal control strategy for a fed-batch bioreactor: numerical approach. A.I.Ch.E.J. 33(5) (1987) 776-783
65. 65. San, K.Y.; Stephanopoulos, G.: Optimization of fed-batch fermentation: a case of singular optimal control with state constraints. Biotechnol. Bioeng. 34(1) (1989) 72-78
66. 66. Modak, J.M.; Lim, H.C.: Simple nonsingular control approach to fed-batch fermentation optimization. Biotechnol. Bioeng. 33(1) (1989) 11-15
67. 67. Modak, J.M.: Choice of control variable for optimization of fed-batch fermentation. The Chem. Eng. J. 52(3) (1993) B59-B69
68. 68. Luus, R.; Rosen, O.: Application of dynamic programming to final state constrained optimal control problems. Ind. Eng. Chem. Res. 30(7) (1991) 1525-1530
69. 69. Luus, R.: Application of dynamic programming to differential algebraic process systems. Comput. Chem. Eng. 17(4) (1993) 373-377
70. 70. Dadebo, S.A.; Mcauley, K.B.: Dynamic optimization of constrained chemical engineering problems using dynamic programming. Comput. Chem. Eng. 19(5) (1995) 513-525
71. 71. Goh, C.J.; Teo, K.L.: Control parametrization: a unified approach to optimal control problems with general constraints. Automatica 24(1) (1988) 3-18
72. 72. Takamatsu, T.; Shioya, S.; Okada, Y.; Kanda, M.: Profile control scheme in a baker's yeast fed-batch culture. Biotechnol. Bioeng. 27(12) (1985) 1675-1686
73. 73. Williams, D.; Yousefpour, P.; Wellington, E.M.H.: On-line adaptive control of a fed-batch fermentation of saccharomyces cerevisiae. Biotechnol. Bioeng. 28(5) (1986) 631-645
74. 74. Staniskis, J.; Levisauskas, D.: An adaptive control algorithm for fed-batch culture. Biotechnol. Bioeng. 26(5) (1984) 419-425
75. 75. Tartakovsky, B.; Dainson, B.E.; Lewin, D.R.; Sheintuch, M.: Observer based nonlinear control of au to-inductive fed-batch fermentation process. The Chem. Eng. J. 61(1) (1996) 139-148
76. 76. Thibault, J.; Breusegem, V.V.; Cheruy, A.: On-line prediction of fermentation variables using neural networks. Biotechnol. Bioeng. 36(12) (1990) 1041-1048
77. 77. Massimo, C.D.; Montague, G.A.; Willis, M.A.; Tham, M.T.; Morris, A.J.: Towards improved penicillin fermentation via artificial neural networks. Comput. Chem. Eng. 16(4) (1992) 283-291
78. 78. Breusegem, V.V.; Thibault, J.; Cheruy, A.: Adaptive neural models for on-line prediction in fermentation. Can. J. Chem. Eng. 69(2) (1991) 481-487
79. 79. Bhat, N.; McAvoy, T.J.: Use of neural networks for dynamic modeling and control of chemical process systems. Comput. Chem. Eng. 14(4/5) (1990) 573-583
80. 80. Nahas, E.P.; Henson, M.A.; Seborg, D.E.: Nonlinear internal model control strategy for neural network models. Comput. Chem. Eng. 16(12) (1992) 1039-1057
81. 81. Psichogios, D.; Ungar, L.H.: Direct and indirect model based control using artificial neural networks. Ind. Eng. Chem. Res. 30(12) (1991) 2564-2573
82. 82. Song, J.J.; Park, S.: Neural model predictive control for nonlinear chemical processes. J. Chem. Eng. Japan 26(4) (1993) 347-354
83. 83. Hong, T.; Zhang, J.; Morris, A.J.; Martin, B.; Karim, M.N.: Neural based predictive control of a multivariable microalgae fermentation. Proc. IEEE International Conference on Systems, Man and Cybernetics, 1 (1996) 345-350
84. 84. Declercq, F.; DeKeyser, R.: Neural model based predictive control of a simulated bioreactor. Symp. Control, Optimization and Supervision, CESA' 96 IMACS Multiconference, Computational Engineering in Systems Applications
85. 85. Gorinvesky, D.: Sampled-data indirect adaptive control of bioreactor using affine radial basis function architecture. Transactions of the ASME, Journal of Dynamic Systems, Measurement and Control, 119(1) (1997) 94-97
86. 86. Karim, M.N.; Rivera, S.L.: Comparison of feedforward and recurrent neural networks for bioprocess state estimation. Comput. Chem. Eng. 16 (1992) S369-S375
87. 87. Nikolaou, M.; Hanangadi, V.: Control of nonlinear dynamical systems modeled by recurrent neural networks. A.I.Ch.E.J. 39(11) (1993) 1890-1894
88. 88. Chovan, T.; Catfolis, T.; Meert, K.: Neural network architecture for process control based on RTRL algorithm. A.I.Ch.E.J. 42(2) (1996) 493-502
89. 89. Syu, M.J.; Chang, C.B.: Neural network adaptive control of the penicillin acylase fermentation, paper presented at the IEE International Conference on Neural Networks, (1997)
90. 90. Ponton, J.W.; Klemes, J.: Alternatives to neural networks for inferential measurement. Comput. Chem. Eng. 17(10) (1993) 991-1000
91. 91. Psichogios, D.; Ungar, L.H.: A hybrid neural network-first principles approach to process modeling. A.I.Ch.E.J. 38(10) (1992) 1499-1511
92. 92. Fu, P.C.; Barford, J.P.: A hybrid neural network-first principles approach for modeling of cell metabolism. Comput. Chem. Eng. 20(6/7) (1996) 951-958
93. 93. Tholudur, A.; Ramirez, W.F.: Optimization of fed-batch bioreactors using neural network parameter function models. Biotechnol. Prog. 12(3) (1996) 302-309
94. 94. Su, H.T.; McAvoy, T.J.: Integration of multilayer perception networks and linear dynamic models. Ind. Eng. Chem. Res. 32(9) (1993) 1927-1936
95. 95. De Azevedo, S.F.; Dahm, B.; Olivìera, F.R.: Hybrid modelling of biochemical processes: A comparison with conventional approach. Comput. Chem. Eng. 21(S) (1997) S751-S756
96. 96. Bersini, H.; Gorrini, V.: A simplification of the back propagation through time algorithm for optimal neurocontrol. IEEE Trans. Neural Networks. 8(2) (1997) 437-441
97. 97. Lee, J.W.; Oh, J.H.: Inversion control of nonlinear systems with neural network modelling. IEEE Proc.-Control Theory and Applications, 144(5) (1997) 481-487
98. 98. Ayoma, A.; Venkatasubramianian, V.: Internal model control framework using neural networks for modeling and control of a bioreactor. Engineering Applications of Artificial Intelligence 8(6) 689-701
99. 99. Schubert, J.; Simutis, R.; Dors, M.; Havlik, I.; Lubbert, A.: Hybrid modeling of yeast production processes-combination of a priori knowledge on different levels of sophistication. Chem. Eng. Technol. 17(1) (1994) 10-20
100. 100. Ishida, M.: Control by a policy-and-experience-driven neural network. J. Chem. Eng. Japan 25(1) (1992) 108-111
101. 101. Thompson, M.L.; Kramer, M.A.: Modeling chemical processes using prior knowledge and neural networks. A.I.Ch.E.J. 40(8) (1994) 1328-1340
102. 102. Baughman, D.R.; Liu, Y.A.: Neural networks in bioprocessing and chemical engineering. Academic press (1995) 320-325
103. 103. Ye, K.; Jin, S.; Shimizu, K.: Fuzzy neural networks for the control of high-cell-density cell cultivation of recombinant Escherichia CoIi. J. Ferm. Bioeng. 77 (1994) 663