Temperature Control of a Non-Linear Process using Genetic Algorithm
Pages : 585-589
Download PDF
Abstract
Even though traditional controllers are used in chemical industries, automatic soft computing based controllers provides efficient and fine tuning of non-linear process parameters. The main objective of this research work is to control and maintain the temperature of the reacting mixture in CSTR by providing optimum performance indices using GA based PI controller tuning approach. The theoretical case study was mathematically modeled and simulated using MATLAB. The simulated end result proves that GA based controller hand out the best tuning technique in terms of robustness and performance indices when compared to IMC and ZN method.
Keywords: CSTR, GA, IMC, PI tuning
Article published in International Journal of Current Engineering and Technology, Vol.7, No.2 (April-2017)