Table of Contents
Advances in Artificial Intelligence
Volume 2014, Article ID 791230, 8 pages
Research Article

Genetic Algorithm Based PID Controller Tuning Approach for Continuous Stirred Tank Reactor

1Department of Electronics and Communication Engineering, V.R.S College of Engineering & Technology, Villupuram 607 107, India
2Department of Electronics and Instrumentation Engineering, Annamalai University, Annamalai Nagar 608 002, India

Received 30 July 2014; Revised 26 October 2014; Accepted 5 December 2014; Published 23 December 2014

Academic Editor: Jun He

Copyright © 2014 A. Jayachitra and R. Vinodha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Genetic algorithm (GA) based PID (proportional integral derivative) controller has been proposed for tuning optimized PID parameters in a continuous stirred tank reactor (CSTR) process using a weighted combination of objective functions, namely, integral square error (ISE), integral absolute error (IAE), and integrated time absolute error (ITAE). Optimization of PID controller parameters is the key goal in chemical and biochemical industries. PID controllers have narrowed down the operating range of processes with dynamic nonlinearity. In our proposed work, globally optimized PID parameters tend to operate the CSTR process in its entire operating range to overcome the limitations of the linear PID controller. The simulation study reveals that the GA based PID controller tuned with fixed PID parameters provides satisfactory performance in terms of set point tracking and disturbance rejection.