Mathematical Modeling and Performance Analysis of Various Tuning Methods for PID Controller of Web Guide in Cold Rolling Mill using Particle Swarm Optimization Techniques

Abstract

This work deals with design of controller for the intermediate web guide in a cold rolling mill using various tuning methods. Productivity in the web guide which relates the speed of the process and the position. Enhancing the productivity leads to a tangential misalignment of the web hence a tool for executive the position of the web is introduced.  To locate the web on the part-way position of roller, a PID controller has been designed using various tuning methods. The web and guides are intended to use the geometrical relations by avoiding the stiffness and mass of the web. The particle swarm optimization (PSO) is used in this work for tuning the controller. The simulator using the PSO tuning methods was ripened to unzip the desired position tenancy of the web and the efficiency of the proposed tenancy is analyzed by relating with other tuning methods. It is shown from the simulation results that the performance with respect to the tuning using PSO tenancy scheme of the web is profoundly improved.