Investigation of Gain Scheduling Algorithm for Controller Adaptation in Microbial Cultivation Process Control Systems.
CASE(2021)
摘要
An adaptive control algorithm for set-point tracking of bioreactor-scale microbial cultivation process parameters is presented, where adaptation of PI controller parameters is based on the controller input/output signals only and does not require additional measurements of process variables. A simple gain scheduling algorithm is developed using tendency model of the controlled process. Extreme operating conditions were selected and modeled to test the algorithms performance while controlling pH in fed-batch operating mode. The simulation results showed that the gain-scheduled controller demonstrated robust behavior and significantly improved the control performance compared to that of fixed-parameter controllers.
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关键词
controller adaptation,microbial cultivation process control systems,adaptive control algorithm,set-point tracking,bioreactor-scale microbial cultivation process parameters,PI controller parameters,process variables,simple gain scheduling algorithm,tendency model,fed-batch operating mode,gain-scheduled controller,fixed-parameter controllers,controller input-output signals
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