A COMPREHENSIVE ANALYSIS IN PID TUNING WITH SOFT COMPUTATION IN PAPER INDUSTRY

In this paper, Particle Swarm Optimization algorithm (PSO) method has been applied on a moisture control system for auto tuning (PID) parameters. Proportional - Integral - Derivatives control scheme is used to provide efficient and quiet easier in control engineering applications. Most of the PID tuning methods are used in manually which is difficult and time consuming. PSO Algorithm which leads to improved efficiency of tuning of process. The proposed algorithm is used to tune the PID parameters and its performance has been compared with Fuzzy logic techniques. Compare to fuzzy logic technique dynamic performance specfications such as rise time, peak time and peak overshoot optimal values produced by PSO. The plant model represent by the transfer function is obtained by the system identification tool box.