Abstract

In this study, a comparative analysis of PID controller parameter optimization methods for Automatic Voltage Regulator (AVR) system is presented. AVR model is created in MATLAB/Simulink environment and controlled with PID controller. In the first stage, Ziegler-Nichols (ZN) method is used to determine the initial controller parameters. Then, single-objective Genetic Algorithm (GA) is applied which minimizes Integral of Time-weighted Squared Error (ITSE) performance criterion. A multi-objective GA structure is developed which includes overshoot and settling time criteria. Similarly, Particle Swarm Optimization (PSO) algorithm is applied as both single-objective and multi-objective just like Genetic algorithm. Step responses obtained with each method are evaluated according to overshoot, settling time, rise time and ITSE criteria. The results show that multi-objective PSO algorithm provides the most successful performance compared to traditional methods in dynamic response and error minimization.

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