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Differential Evolution Algorithm Based Self-adaptive Control Strategy for Fed-batch Cultivation of Yeast

Aiyun Hu1, Sunli Cong1,*, Jian Ding2, Yao Cheng1, Enock Mpofu3

1 Jiangsu Key Lab of IoT Application Technology, Wuxi Taihu University, Wuxi, 214064, China
2 The key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, 214122, China
3 Department of Food Processing Technology, Harare Institute of Technology, Harare, Zimbabwe

* Corresponding Author: Sunli Cong. Email: email

Computer Systems Science and Engineering 2021, 38(1), 65-77. https://doi.org/10.32604/csse.2021.016404

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.

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APA Style
Hu, A., Cong, S., Ding, J., Cheng, Y., Mpofu, E. (2021). Differential evolution algorithm based self-adaptive control strategy for fed-batch cultivation of yeast. Computer Systems Science and Engineering, 38(1), 65-77. https://doi.org/10.32604/csse.2021.016404
Vancouver Style
Hu A, Cong S, Ding J, Cheng Y, Mpofu E. Differential evolution algorithm based self-adaptive control strategy for fed-batch cultivation of yeast. Comput Syst Sci Eng. 2021;38(1):65-77 https://doi.org/10.32604/csse.2021.016404
IEEE Style
A. Hu, S. Cong, J. Ding, Y. Cheng, and E. Mpofu "Differential Evolution Algorithm Based Self-adaptive Control Strategy for Fed-batch Cultivation of Yeast," Comput. Syst. Sci. Eng., vol. 38, no. 1, pp. 65-77. 2021. https://doi.org/10.32604/csse.2021.016404



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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