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Data Driven Model based Event Triggered Feed Forward Control for E.coli Fed-Batch Fermentation
  • M. Chitra,
  • S. Sutha
M. Chitra
Bharath Institute of Higher Education and Research

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S. Sutha
Anna University Chennai - Regional Office Tiruchirappalli
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This paper aims at the development of advanced process control technique that aids for the accurate on-line measurement of biomass concentration. Control of bioprocess is a challenging task mainly due to the nonlinearity of the process, complex nature of microorganisms, variations in critical parameters such as temperature, pH and agitator speed. In this study, the Event Triggered Feed Forward Control (ET-FFC) scheme is proposed and developed in order to diminish the effects of temperature, pH and DO variations during Escherichia coli ( E.coli) K-12 fed-batch. Initially, the data are collected from the laboratory scaled 3L bioreactor setup under Fed-batch operating condition and data driven models are developed using system identification techniques. Then Proportional Integral (PI) and Model Predictive Controller (MPC) feedback controllers are designed to control biomass concentration by varying feed rate of substrate and their performances are compared. To suppress the effect of known disturbances due to critical parameters, an Event Triggered Feed Forward Control (ET-FFC) is designed to change the control action when the event is detected. The closed loop performance of PI and MPC based ET-FFC are obtained in simulation and compared. The results reveal that the proposed MPC based ET-FFC scheme enhances the biomass yield. Also, the proposed control scheme helps to reduce the frequency of communication between controller and actuator which leads to reduction in power consumption.