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Computer control of cell mass concentration in continuous culture. (English) Zbl 0686.92024

Summary: The performances of three types of cell mass control algorithms were tested experimentally in a continuously stirred tank biological reactor (CSTBR). While the performance of the PID controller was undesirable and parameter tuning was not easy, the extended least-squares self-tuning regulator (ELS-STR) and a bilinear model adaptive controller (BMAC) indicated excellent performances. Especially, the BMAC, based on a nonlinear predictor model with only one parameter to be identified, showed less excessive fluctuation of control action and better adaptation performance over the ELS-STR.

MSC:

92F05 Other natural sciences (mathematical treatment)
92Cxx Physiological, cellular and medical topics
92-08 Computational methods for problems pertaining to biology
93C55 Discrete-time control/observation systems
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References:

[1] Chen, L. H.; Chang, L. C., Global stabilization of a biological reactor by linear feedback control, Chem. Engng Commun., 27, 231 (1984)
[2] DiBasio, D.; Lim, H. C.; Weigand, W. A., An experimental investigation of stability and multiplicity of steady states in a biological reactor, A.I.Ch.E. Jl, 27, 2 (1981)
[3] DiBasio, D.; Lim, H. C.; Weigand, W. A., Constrained control of an unstable biological reactor, A.I.Ch.E. Jl, 30, 520 (1984)
[4] DiBasio, D.; Lim, H. C.; Weigand, W. A.; Tsao, G. T., Phase plane analysis of feedback control of unstable steady states in a biological reactor, A.I.Ch.E. Jl, 24, 686 (1978)
[5] Franco, C. M.M.; Smith, J. E.; Berry, D. R., Changes in intermediate levels during batch culture of S. cerevisiae, Biotech. Lett., 6, 803 (1984)
[6] Furuhawa, K.; Heinzle, E., Influence of oxygen on the growth of S. cerevisiae in continuous culture, Biotech. Bioengng, 25, 2293 (1983)
[7] Goodwin, G. C.; Sin, K. S., (Adaptive Filtering Prediction and Control (1984), Prentice-Hall: Prentice-Hall Englewood Cliffs, NJ) · Zbl 0653.93001
[8] Karim, M. N.; Linden, J.; Lee, G. K.F., Adaptive control of a continuous fermentation system, (A.I.Ch.E. Diamond Jubilee Meeting. A.I.Ch.E. Diamond Jubilee Meeting, Washington, DC, October 30-November 4 (1984))
[9] Karim, M. N.; Morura, A. R.; Grogan, A., Modeling and adaptive control of a fermentation system, (IEEE Am. Control Conf., WA-5 (1982)), 45
[10] Lee, C.; Lim, H., New device for continuously monitoring the optical density of concentrated microbial cultures, Biotech. Bioengng, 12, 639 (1980)
[11] Mateles, R. I.; Ryu, D. Y.; Yasuda, T., Measurement of unsteady state growth rates of micro-organisms, Nature, 16, 263 (1965)
[12] Ziegler, J. G.; Nichols, N. B., Optimum settings for automatic controllers, Trans. ASME, 64, 759 (1942)
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