Skolpap, W., Scharer, J.M., Douglas, P.L. and Moo-Young, M. Optimal feed rate profiles for fed-batch culture in penicillin production Songklanakarin J. Sci. Technol., 2005, 27(5) : 1057-1064 The fed-batch optimization of penicillin productivity was applied as an example of optimization algorithm verification. The objective function of this problem was to optimize penicillin productivity by determination of feed rate trajectory. This study compared the optimized results derived from the proposed algorithm and from the iterative dynamic programming. Three decision variables for the proposed algorithm comprised t s (switching time from exponential to linear feeding schedules), K (constant in feed rate equation), and e e e e e (a multiplier on substrate requirement). Estimation of this set of decision variables employed Markov chain Monte Carlo procedures (the Gibbs parameter sampling and the Metropolis-Hasting algorithm) using an originally given set of initial values. The optimization procedure was divided into two time periods as follows: i) the time period of exponential feeding policy, t t s . The calculation procedure of the first period of fermentation time had been proposed by integrating Pontryagin’s optimum principle and Luedeking-Piret equation. The feed rate profile during the later period was obtained from the direct substitution of desired substrate requirement derived from Monod equation. The optimal feed-rate profile corresponded to the values of decision variables as follows [t s K e] = [35.937 ORIGINAL ARTICLE
[1]
R. Luus,et al.
Optimal control by iterative dynamic programming with deterministic and random candidates for control
,
2000
.
[2]
H. Lim,et al.
Computational algorithms for optimal feed rates for a class of fed‐batch fermentation: Numerical results for penicillin and cell mass production
,
1986,
Biotechnology and bioengineering.
[3]
J. Monod.
The Growth of Bacterial Cultures
,
1949
.
[4]
D. Batens,et al.
Theory and Experiment
,
1988
.
[5]
Rein Luus,et al.
On solving optimal control problems with free initial condition using iterative dynamic programming
,
2001
.
[6]
M. Moo-young,et al.
Fed‐batch optimization of α‐amylase and protease‐producing Bacillus subtilis using Markov chain methods
,
2004,
Biotechnology and bioengineering.
[7]
Edgar L. Piret,et al.
Transient and steady states in continuous fermentaion. Theory and experiment
,
1959
.
[8]
J Stanissis,et al.
An adaptive control algorithm for fed‐batch culture
,
1984,
Biotechnology and bioengineering.
[9]
J Hong,et al.
Optimal substrate feeding policy for a fed batch fermentation with substrate and product inhibition kinetics
,
1986,
Biotechnology and bioengineering.
[10]
H C Lim,et al.
General characteristics of optimal feed rate profiles for various fed‐batch fermentation processes
,
1986,
Biotechnology and bioengineering.