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- Title
Differential Evolution Algorithm Based Self-adaptive Control Strategy for Fed-batch Cultivation of Yeast.
- Authors
Aiyun Hu; Sunli Cong; Jian Ding; Yao Cheng; Mpofu, Enock
- Abstract
In the fed-batch cultivation of Saccharomyces cerevisiae, excessive glucose addition leads to increased ethanol accumulation, which will reduce the efficiency of glucose utilization and inhibit product synthesis. Insufficient glucose addition limits cell growth. To properly regulate glucose feed, a different evolution algorithm based on self-adaptive control strategy was proposed, consisting of three modules (PID, system identification and parameter optimization). Performance of the proposed and conventional PID controllers was validated and compared in simulated and experimental cultivations. In the simulation, cultivation with the self-adaptive control strategy had a more stable glucose feed rate and concentration, more stable ethanol concentration around the set-point (1.0 g•L-1), and final biomass concentration of 34.5 g-DCW•L-1, 29.2% higher than that with a conventional PID control strategy. In the experiment, the cultivation with the self-adaptive control strategy also had more stable glucose and ethanol concentrations, as well as a final biomass concentration that was 37.4% higher than that using the conventional strategy.
- Subjects
YEAST culture; SACCHAROMYCES cerevisiae; DIFFERENTIAL evolution; MATHEMATICAL optimization; FUNGAL cultures
- Publication
Computer Systems Science & Engineering, 2021, Vol 38, Issue 1, p65
- ISSN
0267-6192
- Publication type
Article
- DOI
10.32604/csse.2021.016404