Optimal Synthesis for the Minimum Time Control Problems of Fed-Batch Bioprocesses for Growth Functions with Two Maxima

We address the problem of finding an optimal feedback control for feeding a fed-batch bioreactor with one species and one substrate from a given initial condition to a given target value in a minimal amount of time. Recently, the optimal synthesis (optimal feeding strategy) has been obtained in systems in which the microorganisms involved are represented by increasing growth functions or growth functions with one maxima, with either Monod or Haldane functions, respectively (widely used in bioprocesses modeling). In the present work, we allow impulsive controls corresponding to instantaneous dilutions, and we assume that the growth function of the microorganism present in the process has exactly two local maxima. This problem has been tackled from a numerical point of view without impulsive controls. In this article, we introduce two singular arc feeding strategies, and we define explicit regions of initial conditions in which the optimal strategy is either the first singular arc strategy or the second strategy.

[1]  Pauline M. Doran,et al.  Bioprocess Engineering Principles , 1995 .

[2]  M. Guay,et al.  On-line optimization of fedbatch bioreactors by adaptive extremum seeking control , 2011 .

[3]  H. Robbins A generalized legendre-clebsch condition for the singular cases of optimal control , 1967 .

[4]  Jaime A. Moreno Optimal time control of bioreactors for the wastewater treatment , 1999 .

[5]  Sunwon Park,et al.  Control of fed-batch fermentations. , 1999, Biotechnology advances.

[6]  Denis Dochain,et al.  Minimal time control of fed-batch processes for growth functions with several maxima , 2010 .

[7]  J Hong,et al.  Optimal substrate feeding policy for a fed batch fermentation with substrate and product inhibition kinetics , 1986, Biotechnology and bioengineering.

[8]  J. Monod,et al.  Recherches sur la croissance des cultures bactériennes , 1942 .

[9]  Denis Dochain,et al.  Minimal Time Control of Fed-Batch Processes With Growth Functions Having Several Maxima , 2011, IEEE Transactions on Automatic Control.

[10]  G. Wolkowicz The theory of the chemostat: Dynamics of microbial competition , 1996 .

[11]  L. S. Pontryagin,et al.  Mathematical Theory of Optimal Processes , 1962 .

[12]  John F. Andrews,et al.  A mathematical model for the continuous culture of microorganisms utilizing inhibitory substrates , 1968 .

[13]  Alain Rapaport,et al.  Minimal Time Sequential Batch Reactors with Bounded and Impulse Controls for One or More Species , 2008, SIAM J. Control. Optim..

[14]  Angelo Miele APPLICATION OF GREEN'S THEOREM TO THE EXTREMIZATION OF LINEAR INTEGRALS , 1961 .

[15]  Emmanuel Trélat,et al.  Asymptotic approach on conjugate points for minimal time bang-bang controls , 2010, Syst. Control. Lett..

[16]  E O Powell,et al.  Theory of the chemostat. , 1965, Laboratory practice.

[17]  F. Mairet,et al.  Minimal time control of fed-batch bioreactor with product inhibition , 2013, 2012 20th Mediterranean Conference on Control & Automation (MED).

[18]  Lamberto Cesari,et al.  Optimization-Theory And Applications , 1983 .

[19]  Chongyang Liu,et al.  Optimal control for nonlinear dynamical system of microbial fed-batch culture , 2009, J. Comput. Appl. Math..

[20]  L. Bittner L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, E. F. Mishechenko, The Mathematical Theory of Optimal Processes. VIII + 360 S. New York/London 1962. John Wiley & Sons. Preis 90/– , 1963 .

[21]  J. Ball OPTIMIZATION—THEORY AND APPLICATIONS Problems with Ordinary Differential Equations (Applications of Mathematics, 17) , 1984 .

[22]  Raymond W. Rishel,et al.  An Extended Pontryagin Principle for Control Systems whose Control Laws Contain Measures , 1965 .

[23]  Manuel J. Betancur,et al.  Practical optimal control of fed‐batch bioreactors for the waste water treatment , 2006 .

[24]  M. L. Chambers The Mathematical Theory of Optimal Processes , 1965 .