Adaptive PID Controller Based on Real Base Function Network Identification, and Genetic Algorithm in Automatic Voltage Regulator System

Adaptive PID controller based on real base function (RBF) network identification by optimal tuning of proportional– integral–derivative (PID) controller parameter is necessary for thematic factory operation of an automatic voltage regulator (AVR) system. This study presents a combined genetic algorithm (GA) and real base function network (RBF) identification control approach to determine the optimal PID controller parameters and AVR system. The problem of obtaining the optimal AVR and PID controller parameters is formulated as an optimization problem and real base function network (RBF) identification tuning by genetic algorithm (GA) is applied to solve the optimization problem. The proposed approach has resulted in AVR and PID controller with a good shortterm response. The optimal PID gains obtained by the proposed RBF tuning by genetic for various operating conditions are used to improve the short-term response of AVR system. The suitability of the proposed approach for PID controller tuning has been demonstrated through computer simulations in an AVR system.