Neural network based adaptive fuzzy logic excitation controller

An artificial neural network based fuzzy logic excitation control system has been proposed to enhance the overall stability of electric power systems. The proposed controller consists of a single control loop for both the voltage and the damping control. The inputs to the controller are the terminal voltage signal and the real power output signal, and the output is the excitation control signal which is fed back to the thyristor excitation system. The proposed controller shows highly improved control performance for both the voltage regulation and the damping of oscillations. Further improvement has been achieved by the addition of the artificial neural network based real time tuning block to the associated fuzzy logic excitation control system.