Optimal Tuning of PID Controller for a Continuous-Stirred Tank Reactor (CSTR) Using Genetic Algorithm

Abstract

In this paper, genetic algorithm (GA)-based proportional integral derivative (PID) controller has been introduced for tuning optimized PID parameters in a continuous-stirred tank reactor (CSTR) process. In our proposed work, we have found that the tuning should have minimum value for rise time, peak time, settling time, etc. to be effective to design a CSTR system by optimal PID tuning. The simulation results of the proposed work reveal that the GA-based PID tuning gives satisfactory performance in terms of minimum value of rise time, peak time, settling time, etc., and is the effective AI technique to design a CSTR system.

Keywords: CSTR, genetic algorithm (GA), optimal tuning, PID controller