An energy effective PID tuning method for the control of polybutadiene latex reactor based on closed-loop identification

Abstract

The PBL (Polybutadiene Latex) production process is a t ypical batch process. Changes of the reactor char- acteristics due to the accumulated scaling with the increase of batch cycles require adaptive tuning of the PID controller being used. In this work we propose a tuning method for PID controllers based on the closed-loop identification and the genetic algorithm (GA) and apply it to control the PBL process. An approximated process transfer function for the PBL reactor is obtained from the closed-loop data by using a suitable closed-loop identification method. Tuning is performed by GA optimization in which the objective function is given by ITAE for the setpoint change. The pro- posed tuning method showed good control performance in actual operations.