{"title":"区间2型模糊PID控制的生物反应器pH控制系统。","authors":"Songyang An, Haotian Xu, Jizheng Zhong, Xiao Li","doi":"10.1002/bab.70027","DOIUrl":null,"url":null,"abstract":"<p><p>In cell culture, maintaining a stable and optimal pH level is critical for ensuring proper cellular growth. This study presents the design of a pH control system specifically tailored for this application, utilizing an algorithm that integrates interval type-2 fuzzy control with traditional PID control strategies. The hardware component of the control system employs an STM32 microcontroller, while the software is developed based on the process characteristics of the controlled system. The PID, type-1 fuzzy PID, and interval type-2 fuzzy PID algorithms are assessed through both simulations and experiments. The results demonstrate that the proposed interval type-2 fuzzy PID control algorithm shows reduced overshoot, enhanced control accuracy, and improved response time. Furthermore, it demonstrates a faster recovery rate when subjected to disturbances, rapidly reaching steady-state conditions and effectively fulfilling the requirements for pH regulation in cell culture.</p>","PeriodicalId":9274,"journal":{"name":"Biotechnology and applied biochemistry","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bioreactor pH Control System Using Interval Type-2 Fuzzy PID Controller.\",\"authors\":\"Songyang An, Haotian Xu, Jizheng Zhong, Xiao Li\",\"doi\":\"10.1002/bab.70027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In cell culture, maintaining a stable and optimal pH level is critical for ensuring proper cellular growth. This study presents the design of a pH control system specifically tailored for this application, utilizing an algorithm that integrates interval type-2 fuzzy control with traditional PID control strategies. The hardware component of the control system employs an STM32 microcontroller, while the software is developed based on the process characteristics of the controlled system. The PID, type-1 fuzzy PID, and interval type-2 fuzzy PID algorithms are assessed through both simulations and experiments. The results demonstrate that the proposed interval type-2 fuzzy PID control algorithm shows reduced overshoot, enhanced control accuracy, and improved response time. Furthermore, it demonstrates a faster recovery rate when subjected to disturbances, rapidly reaching steady-state conditions and effectively fulfilling the requirements for pH regulation in cell culture.</p>\",\"PeriodicalId\":9274,\"journal\":{\"name\":\"Biotechnology and applied biochemistry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biotechnology and applied biochemistry\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/bab.70027\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology and applied biochemistry","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/bab.70027","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Bioreactor pH Control System Using Interval Type-2 Fuzzy PID Controller.
In cell culture, maintaining a stable and optimal pH level is critical for ensuring proper cellular growth. This study presents the design of a pH control system specifically tailored for this application, utilizing an algorithm that integrates interval type-2 fuzzy control with traditional PID control strategies. The hardware component of the control system employs an STM32 microcontroller, while the software is developed based on the process characteristics of the controlled system. The PID, type-1 fuzzy PID, and interval type-2 fuzzy PID algorithms are assessed through both simulations and experiments. The results demonstrate that the proposed interval type-2 fuzzy PID control algorithm shows reduced overshoot, enhanced control accuracy, and improved response time. Furthermore, it demonstrates a faster recovery rate when subjected to disturbances, rapidly reaching steady-state conditions and effectively fulfilling the requirements for pH regulation in cell culture.
期刊介绍：
Published since 1979, Biotechnology and Applied Biochemistry is dedicated to the rapid publication of high quality, significant research at the interface between life sciences and their technological exploitation.
The Editors will consider papers for publication based on their novelty and impact as well as their contribution to the advancement of medical biotechnology and industrial biotechnology, covering cutting-edge research in synthetic biology, systems biology, metabolic engineering, bioengineering, biomaterials, biosensing, and nano-biotechnology.
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