Control of continuous stirred tank reactor (CSTR) using nature inspired algorithms

Abstract

In this paper optimization algorithms name as particle swarm optimization (PSO) and teacher learning based optimization (TLBO) has been implemented on continuous stirred tank reactor (CSTR). Conventional PID controller, PSO based PID control scheme and TLBO based PID control scheme are used to control the system concentration and temperature. Optimization algorithms are used to improve system performance by minimizing mean square error (MSE) and optimize the controller parameters like Kp, Ki, Kd. The Simulation results shows that TLBO based PID controller gives better performance, optimized values of controller parameters and minimum values of MSE in less iteration as compare to PSO based PID controller and Conventional PID controller.