LAPSE:2023.36586
Published Article
LAPSE:2023.36586
T-S Fuzzy Algorithm Optimized by Genetic Algorithm for Dry Fermentation pH Control
Pengjun Wang, Xing Shen, Ruirong Li, Haoli Qu, Jie Cao, Yongsheng Chen, Mingjiang Chen
September 20, 2023
Abstract
In the process of anaerobic dry fermentation to produce biogas, maintaining a suitable pH in the environment is more conducive to the degradation of crop straw. When the pH in the fermentation environment is too low, the process of anaerobic digestion by anaerobic bacteria is inhibited. Therefore, it is necessary to quickly adjust the pH. In this work, we studied the control technology of a pH regulation system and then constructed a T-S fuzzy controller. Upon simplifying the T-S fuzzy controller, the system delay time was reduced, and two genetic algorithms with different fitness performance indicators were used to optimize the T-S fuzzy control. The simulation experiment in this study was designed through simulation software, and the results show that the improved control method has a fast regulation ability. Finally, on-site experiments were conducted using the four control methods under the acidification conditions set in the experimental device. The results show that the control method used in this study to improve performance by integrating the error sum of squares has a short control time and small oscillation and overshoot, and it can better regulate the environmental pH to achieve appropriate conditions when acidification occurs during anaerobic dry fermentation.
Keywords
anaerobic dry fermentation, error sum of squares integration, GA-TS fuzzy control, pH control, T-S fuzzy control
Suggested Citation
Wang P, Shen X, Li R, Qu H, Cao J, Chen Y, Chen M. T-S Fuzzy Algorithm Optimized by Genetic Algorithm for Dry Fermentation pH Control. (2023). LAPSE:2023.36586
Author Affiliations
Wang P: State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014,
Shen X: State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China [ORCID]
Li R: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Qu H: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Cao J: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Chen Y: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Chen M: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Journal Name
Processes
Volume
11
Issue
8
First Page
2227
Year
2023
Publication Date
2023-07-25
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr11082227, Publication Type: Journal Article
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LAPSE:2023.36586
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https://doi.org/10.3390/pr11082227
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Sep 20, 2023
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CC BY 4.0
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Sep 20, 2023
 
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Calvin Tsay
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