Performance Optimization of PI Controller in Non Linear Process using Genetic Algorithm

Recently, through the use of soft computing techniques fine tuning of PID controller parameters are carried out for non linear process. In this paper the Genetic Algorithm (GA) optimization technique, is successfully applied for tuning PI controller used in conical tank level process and hence to minimize the integral time absolute error (ITAE). A conical tank level process is represented as first order plus dead time transfer function. It is obtained by deriving mathematical differential equation and implemented in MATLAB. The main objective is to obtain a minimum rise time, minimum setting time, stable and controlled system by tuning the PI controller using Genetic Algorithm optimization technique. The incurred value is compared with the adaptive tuning techniques like gain scheduling and is proved better. The obtained simulation results demonstrate that this GA-based PI tuning approach is really a potential method gives minimum rise time (Tr), minimum settling time (Ts) and reduces the ITAE.