Development of Event triggered Feed forward Control Scheme for Fed-Batch E.coli Fermentation Process

Lufunyo Betania Lupenza, Sutha Subbian, C. Murugan
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Abstract

This paper presents development of Event Triggered Feed Forward Control (ET-FFC) scheme for K12 Escherichia coli (E.coli) fermentation process. Modeling and control of E.coli fermentation is a challenging task due to strong influence of the risk factors/disturbance like variations in pH, temperature, agitator speed, substrate concentration and air flow rate on biomass yield. The main idea is to develop event triggered Feed forward control scheme to reduce the influence of known disturbance on biomass by minimizing Control Energy(CE) and Integral Square Error (ISE). Real time data of Biomass concentration, substrate feed rate and temperature are collected from the 1.5 Liter laboratory experimental Bioreactor setup. Based on the data, data-driven model based Feedback Controllers (FBC) namely Proportional Integral (PI) controller and Model Predictive controller (MPC) are designed to control Biomass concentration by manipulating substrate feed rate. In addition, Feed-Forward controller is designed for known temperature disturbance. When the temperature disturbance event is detected, FF controller takes control action to suppress its effect on yield. Finally, the closed loop performances of the E.coli fermentation process with proposed controllers are evaluated and analyzed through simulation. Further, a comparative study is carried out for the closed loop system with PI based ET-FFC and proposed MPC based ET-FFC schemes qualitatively as well as quantitatively. The results show that MPC based ET-FFC scheme provides better performances with minimum ISE over PI based ET-FFC scheme.
投料批式大肠杆菌发酵过程事件触发前馈控制方案的研究
本文介绍了K12型大肠杆菌发酵过程事件触发前馈控制(ET-FFC)方案的发展。建模和控制大肠杆菌发酵是一项具有挑战性的任务,因为pH、温度、搅拌器速度、底物浓度和空气流速等风险因素/干扰对生物质产量的影响很大。主要思想是开发事件触发的前馈控制方案,通过最小化控制能量(CE)和积分平方误差(ISE)来减少已知扰动对生物量的影响。从1.5 l实验室实验生物反应器设置中收集生物质浓度、底物进料速率和温度的实时数据。基于数据,设计了基于数据驱动模型的反馈控制器(FBC),即比例积分(PI)控制器和模型预测控制器(MPC),通过操纵底物进料速率来控制生物质浓度。此外,针对已知的温度扰动,设计了前馈控制器。当检测到温度扰动事件时,FF控制器采取控制动作抑制其对产量的影响。最后,通过仿真对所设计控制器对大肠杆菌发酵过程的闭环性能进行了评价和分析。在此基础上,对基于PI的ET-FFC闭环系统与提出的基于MPC的ET-FFC方案进行了定性和定量对比研究。结果表明,基于MPC的ET-FFC方案比基于PI的ET-FFC方案具有更好的性能和最小的ISE。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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