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A Comparative Study of Tuning of PID Controller using Evolutionary Algorithms

This paper presents modern optimization methods for determining the optimal values of proportional- integral-derivative (PID) controller parameters for an unstable system. The main objective is to obtain a fast and stable system by tuning of the PID controller using Genetic Algorithm and Particle Swarm Optimization algorithm. The simulation is done using MATLAB. The result is compared in terms of system transient characteristics and performance index. The obtained results using Evolutionary algorithms are also compared with PID tuning using conventional method like Ziegler Nichols tuning method. The results shows that tuning the PID controller using Evolutionary tuning methods provides fast and stable system with low overshoot and reduces the performance index (ISE). Keywords—GA, ISE, PID, PSO, ZN