Application of intensified current search to optimum PID controller design in AVR system

Abstract

The intensified current search (ICS) is one of the newest metaheuristic optimization search techniques for solving the continuous optimization problems. It is the latest modified version of the original current search (CS). In this paper, the algorithms of the ICS is proposed and the performance evaluation of the ICS is investigated via five well-known surface optimization problems. The ICS is then applied to design an optimum PID controller for the AVR widely used in power systems. Based on the optimization context, the sum of absolute errors between reference input and output response of the system is performed as the objective function to be minimized. This paper demonstrates how to conduct the ICS to search efficiently the optimum PID controller parameters of the AVR system. As results, the optimum PID controller for the AVR system is successfully and rapidly obtained by the ICS. Moreover, the ICS-based design approach performs high robustness once parameter variations are occurred in the control loop.