Implementation of fuzzy PID controller for SO2 emission control process

This paper mainly contributes to reduce the environmental effects induced by the combustion of coal that results in the emission of toxic sulphur dioxide (SO₂). For the reduction of SO₂, Flue Gas Desulphurization (FGD) is the most commonly used method. In our work, mathematical modelling of hydrogen peroxide based FGD has been developed. A fuzzy based PID controller is developed for SO₂ emission control process using MATLAB/SIMULINK platform. By selecting appropriate fuzzy rules, the parameters K_p, K_i and K_d of the PID controller are tuned and the performance of the developed fuzzy based PID controller is compared with the conventional controllers such as ZN (Ziglar-Nichols) and IMC (Internal Model Control) PID controllers. The error indices such as ISE, IAE, ITAE and quality indices such as t_r, t_s, %Mp of the developed fuzzy PID controller produce better control actions than conventional ZN and IMC PID controllers.