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OPTIMAL CONTROL OF MICROBIAL FERMENTATION IN BATCH CULTURE USING PARTICLE SWARM ALGORITHM

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Indexed by:期刊论文

Date of Publication:2016-04-01

Journal:PACIFIC JOURNAL OF OPTIMIZATION

Included Journals:SCIE

Volume:12

Issue:2,SI

Page Number:437-449

ISSN No.:1348-9151

Key Words:batch culture; optimal control; multistage nonlinear dynamical system; swarm intelligence algorithm

Abstract:We propose an optimal control formulation of the batch culture of glycerol bio-dissimilation to 1,3-propanediol (1,3-PD) in industrial production, a gradient-based optimization algorithm is developed to solve the problem. Since the algorithm needs to solve state and costate differential equations simultaneously, and the solution may be trapped at a local one, in this paper, based on the theory of swarm intelligence algorithm, together with the time-scaling transformation and smoothing technique, we propose a modified particle swarm algorithm to solve the optimal control problem. Numerical results show that by employing the optimal control strategy, the concentration of 1,3-PD at the terminal time is higher compared with the previous results.

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