دورية أكاديمية
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An event triggered control scheme for enhanced production of Escherichia coli and biomass concentration during fed-batch cultivation.

التفاصيل البيبلوغرافية
العنوان: An event triggered control scheme for enhanced production of Escherichia coli and biomass concentration during fed-batch cultivation.
المؤلفون: Murugan C; Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research (Deemed to be University), Chennai, Tamil Nadu, India., Subbian S; Department of Instrumentation Engineering, Madras Institute of Technology Campus, Anna University Chennai, Tamil Nadu, India., Kaliyaperumal S; Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology (Deemed to be University), Kattankulathur, Chennai, Tamil Nadu, India., Sadasivuni KK; Centre for Advanced Materials, Qatar University, Qatar.; Department of Mechanical and Industrial Engineering, Qatar University, Qatar., Siddiqui MIH; Department of Mechanical Engineering, King Saud University, Riyadh, Kingdom of Saudi Arabia., Muthusamy S; Department of Electrical and Electronics Engineering, Kongu Engineering College (Autonomous), Perundurai, Erode, Tamil Nadu, India., Rosen MA; Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Applied Sciences, University of Ontario Institute of Technology, Oshawa, Canada.; Centre for Research Impact and Outcomes, Chitkara University, Rajpura, Punjab, India., Prakash C; Faculty of Engineering and Quantity Surveying, INTI International University, Putra Nilai, 71800, Nilai, Negeri Sembilan, Malaysia., Chan CK; Faculty of Engineering and Quantity Surveying, INTI International University, Putra Nilai, 71800, Nilai, Negeri Sembilan, Malaysia.
المصدر: Heliyon [Heliyon] 2024 May 31; Vol. 10 (12), pp. e32210. Date of Electronic Publication: 2024 May 31 (Print Publication: 2024).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101672560 Publication Model: eCollection Cited Medium: Print ISSN: 2405-8440 (Print) Linking ISSN: 24058440 NLM ISO Abbreviation: Heliyon Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: London : Elsevier Ltd, [2015]-
مستخلص: Control of a bioprocess is a challenging task mainly due to the nonlinearity of the process, the complex nature of microorganisms, and variations in critical parameters such as temperature, pH, and agitator speed. Generally, the optimum values chosen for critical parameters during Escherichia coli (E.coli) K-12fed-batch fermentation are37 ᵒ C for temperature, 7 for pH, and 35 % for Dissolved Oxygen (DO). The objective of this research is to enhance biomass concentration while minimizing energy consumption. To achieve this, an Event-Triggered Control (ETC) scheme based on feedback-feed forward control is proposed. The ETC system dynamically adjusts the substrate feed rate in response to variations in critical parameters. We compare the performance of classical Proportional Integral (PI) controllers and advanced Model Predictive Control (MPC) controllers in terms of bioprocess yield. Initially, the data are collected from a laboratory-scaled 3L bioreactor setup under fed-batch operating conditions, and data-driven models are developed using system identification techniques. Then, classical Proportional Integral (PI) and advanced Model Predictive Control (MPC) based feedback controllers are developed for controlling the yield of bioprocess by manipulating substrate flow rate, and their performances are compared. PI and MPC-based Event Triggered Feed Forward Controllers are designed to increase the yield and to suppress the effect of known disturbances due to critical parameters. Whenever there is a variation in the value of a critical parameter, it is considered an event, and ETC initiates a control action by manipulating the substrate feed rate. PI and MPC-based ETC controllers are developed in simulation, and their closed-loop performances are compared. It is observed that the Integral Square Error (ISE) is notably minimized to 4.668 for MPC with disturbance and 4.742 for MPC with Feed Forward Control. Similarly, the Integral Absolute Error (IAE) reduces to 2.453 for MPC with disturbance and 0.8124 for MPC with Feed Forward Control. The simulation results reveal that the MPC-based ETC control scheme enhances the biomass yield by 7 %, and this result is verified experimentally. This system dynamically adjusts the substrate feed rate in response to variations in critical parameters, which is a novel approach in the field of bioprocess control. Also, the proposed control schemes help reduce the frequency of communication between controller and actuator, which reduces power consumption.
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2024 The Authors. Published by Elsevier Ltd.)
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فهرسة مساهمة: Keywords: Biomass concentration; E.coli; Event- triggered control; Fed-batch; Model predictive control; PI controller
تواريخ الأحداث: Date Created: 20240708 Latest Revision: 20240709
رمز التحديث: 20240709
مُعرف محوري في PubMed: PMC11226784
DOI: 10.1016/j.heliyon.2024.e32210
PMID: 38975212
قاعدة البيانات: MEDLINE
الوصف
تدمد:2405-8440
DOI:10.1016/j.heliyon.2024.e32210