TITLE:
Removal of Moisture Content in Paper Machine Using Soft Computing Techniques
AUTHORS:
M. Senthil Kumar, K. Mahadevan
KEYWORDS:
PID Controller, Particle Swarm Optimization, Industrial Application
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
27,
2016
ABSTRACT: The choice of this
investigation is to tune the proportional-integral-derivative (PID) parameters
separately for controlling the moisture content in paper industry by using
Particle Swarm Optimization (PSO). This paper boon a new algorithm for PID
controller tuning based particle swarm optimization. PSO algorithm has recently
developed as a very powerful method for real parameter optimization. This new
process is proposed to combine both the algorithms to get better optimization
values. The proposed algorithm
tuned the PID parameters and its performance has been compared with PID algorithm.
Compared to PID algorithm technique, dynamic performance requirements such as
rise time settling time and peak overshoot optimal values produced by PSO. The
plant model represented by the transfer function is obtained by the system
identification toolbox.