T-S Fuzzy Algorithm Optimized by Genetic Algorithm for Dry Fermentation pH Control

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, i...

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Bibliographic Details
Published in:Processes 2023-08, Vol.11 (8), p.2227
Main Authors: Wang, Pengjun, Shen, Xing, Li, Ruirong, Qu, Haoli, Cao, Jie, Chen, Yongsheng, Chen, Mingjiang
Format: Article
Language:English
Subjects:
Acidification
Acids
Algorithms
Anaerobic bacteria
Anaerobic conditions
Anaerobic digestion
Anaerobic processes
Batch processing
Biogas
Biomass energy
Business metrics
Control algorithms
Control methods
Control systems
Controllers
Delay time
Fermentation
Fuzzy control
Fuzzy systems
Genetic algorithms
Linear equations
Liquor
Neural networks
Performance enhancement
pH effects
System theory
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Summary: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.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr11082227