Concentration control of CSTR through fractional order PID controller by using soft techniques

Abstract

Continuous Stirred Tank Reactor (CSTR) plays a significant role in chemical processes. The continued progress and growth of industry has increased the need for chemical and control integration with artificial intelligence. This paper presents the optimal design of PID & FOPID controller based on soft techniques i.e. Genetic Algorithm and Particle Swarm Optimization (PSO) approach for concentration control of isothermal continuous stirred tank reactor (CSTR) model, irrespective of the disturbances introduced in the system. The prelim step is introducing of the mathematical model which gives relations between state variables in the mathematical way (state space matrix). Mathematical model is obtained from mass and heat balances inside the chemical reactor. Time domain analysis will show the performance of different controllers and it is noticed that Fractional order PID controller with PSO approach gives better result than the other techniques.