Design and monitoring of control system for Amylolytic Enzymes Production with Conventional Controller and Fuzzy Logic
Abstract
Amylolytic enzymes is a starch hydrolyzing enzyme that has been used in wide range industrial processing. The demand for amylolytic enzymes has been increase for the past year, thus, highly efficient processing for amylase production is required. In most bioprocessing, process control and monitoring are crucial since this process are highly sensitive. To date, the study on process control for amylase production has not been extensively explore. Since bioprocess involve a complex system and highly non-linear, the use of conventional controller is limited. With the advancement in process control by integrating Artificial Intelligence has open bigger area for process control study in bioprocessing field. In this study, process control and monitoring system for amylase production was designed to control pH and temperature by using PID and Fuzzy Logic controller. The methods of designing the control system involves several steps from choosing unit operation to performing controller simulation. Both PID and Fuzzy Logic controller are designed and simulated in MATLABs and compared using step response. The result show that bot controller able to achieve steady state and stable at desired set point. However, FL shows better response in term of shorter rise and settling time without overshoot.
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