title: Hybrid intelligent control of substrate feeding for industrial fed-batch chlortetracycline fermentation process.
abstract: The lack of accurate process models and reliable online sensors for substrate measurements poses significant challenges for controlling substrate feeding accurately, automatically and optimally in fed-batch fermentation industries. It is still a common practice to regulate the feeding rate based upon manual operations. To address this issue, a hybrid intelligent control method is proposed to enable automatic substrate feeding. The resulting control system consists of three modules: a presetting module for providing initial set-points; a predictive module for estimating substrate concentration online based on a new time interval-varying soft sensing algorithm; and a feedback compensator using expert rules. The effectiveness of the proposed approach is demonstrated through its successful applications to the industrial fed-batch chlortetracycline fermentation process.
authors.affiliation: Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People׳s Republic of China. Electronic address: jinhuaiping@gmail.com.
authors.forename: Huaiping
authors.initials: H
authors.lastname: Jin
authors.affiliation: Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People׳s Republic of China. Electronic address: xgc1@bit.edu.cn.
authors.forename: Xiangguang
authors.initials: X
authors.lastname: Chen
authors.affiliation: Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People׳s Republic of China. Electronic address: yangjianwen@bit.edu.cn.
authors.forename: Jianwen
authors.initials: J
authors.lastname: Yang
authors.affiliation: Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People׳s Republic of China. Electronic address: wulei@bit.edu.cn.
authors.forename: Lei
authors.initials: L
authors.lastname: Wu
authors.affiliation: Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People׳s Republic of China. Electronic address: wangli@bit.edu.cn.
authors.forename: Li
authors.initials: L
authors.lastname: Wang
mesh_terms: D018407:Bacterial Physiological Phenomena; D061249:Batch Cell Culture Techniques; D019149:Bioreactors / Q000382:microbiology*; D002751:Chlortetracycline / Q000096:biosynthesis* / Q000302:isolation & purification; D003198:Computer Simulation; D025461:Feedback, Physiological / Q000502:physiology; D007221:Industry / Q000379:methods; D008954:Models, Biological; D012371:Robotics / Q000379:methods*
chemical_list: D002751:Chlortetracycline
keywords: Fed-batch fermentation process; Hybrid intelligent control; Process control; Soft sensor; Substrate feeding