An approach to optimize the proportional-integral-derivative controller system

This paper aims at using imperialist competitive algorithm based fuzzy logic (FICA), to control an automatic voltage regulator (AVR) in order to increase the stability and obtain more controllability of the system. For the stabilization of the automatic voltage regulator a proportional-integral-derivative controller (PID) was used. We applied the FICA, which is the combination of the imperialist competitive algorithm (ICA) and fuzzy logic to determine the optimal coefficients of the proportional-integral-derivative controller (PID). The new algorithm solves the main problems of the imperialist competitive algorithm (ICA), which are entrapped in local optimum points and low-speed convergence. This way, the control of the effective parameters of the (ICA) likes as the assimilation coefficient and the cost of colonies is performed with high accuracy and speed. We will show that the results obtained with the proposed intelligent algorithm (FICA), have higher convergence rate and more accuracy in comparison with the other algorithms.