Tunning of PID Controller for Paper Machine Headbox using Hybrid PSOABC Algorithm

Abstract

In paper machine, critical sub-process is Headbox. There are two input and output process in headbox and there will be a noticeable amount of loop interaction. Based on its operation, paper quality is defined. In order to produce paper with good quality, precise control is needed. In this research, Artificial Bee Colony algorithm technique and particle swarm optimization (PSO) are combined to form a hybrid H-PSOABC method to design a head box’s proportional integral derivative (PID) controller. Conventional PID controllers are used to make a comparison of robustness and performance of H-PSOABC-PID controller. The comparison is made with respect to ITAE, ITSE, IAE, ISE, time and frequency response.