STUDY ON THE GENERATOR EXCITATION CONTROLLER BASED ON FUZZY NEURAL NETWORK
Xiaojun Tang · Power System Technology · 2005
Based on the analysis of generator excitation control system and combining the fuzzy control theory with neural network technology, an intelligent excitation control strategy based on fuzzy neural network (FNN) is proposed, and an excitation controller with a structure of double FNN models is built. In this FNN excitation control system not only the functions of fuzzy control are retained, but also the ability to incarnate the non-linear feature of excitation control is provided, the dynamic changing process of the excitation system can be reflected more precisely, therefore, the proposed system possesses better robustness and adaptability.