Performance Evaluation of PID and a Novel hybrid Data Driven based PID
Controller for High Temperature Short Time Milk Pasteurization Unit
Abstract
This research pertains to the design of a Machine Learning based PID
control is an optimal control strategy for high-temperature-short-time
(HTST) pasteurization process. Its performance is evaluated against the
classical Proportional Integral Derivative (PID) controller. Manual
tuning of the PID controller is a tedious task. To cut back the
aforesaid problem, Machine Learning based PIDs were simulated for
controlling the temperature in the HTST process. A novel hybrid Combined
Feedforward-Feedback control Data Driven control based PID control in
introducing to improve the process performance. (FF-FB-DDCPID)