The adaptive PID controller based on neural network for the synchronous generator excitation system

A proportional-integer-differential (PID) controller based on a neural network and adaptive control theory for the synchronous generator system is presented in this paper. The PID parameters can be online improved through online training. The control algorithm is very simple. The simulation results provide promising results under parameter variations and load changes and prove the dynamic response is more quickly compared with the classical PID controller.