Concentration Control of Continuous Stirred Tank Reactor Using Particle Swarm Optimization Algorithm

Continuous Stirred Tank Reactor (CSTR) is one of the common reactors in chemical process and all industrial process requires a solution of specific chemical strength of chemicals considered for analysis. In this paper, Particle Swarm Optimization (PSO) algorithm based PID controller tuning is attempted for the concentration control of Continuous Stirred tank reactor (CSTR). The Modeling can be done by the help of mass balance equation. After that Conventional tuning is implemented with the help of the ZN tuning rule. Based on the Performance indexes and criterion controller can be estimated. The Integral Square Error (ISE) criterion is used to guide PSO algorithm to search the controller parameters like Kp, Ki, Kd. A comprehensive simulation is carried out with PID and I-PD controller Structures. Model Design and Simulation are done in MATLAB SIMULINK.The simulation results shows that the PSO based PID controller tuning approach provides better performance compared to other conventional PID tuning methods.