Intelligent current controller for an HVDC transmission link

This paper describes an intelligent current controller for the fast and flexible control of an HVDC trans mission link using Artificial Neural Network (ANN) and Fuzzy Logic (FL) paradigms. A simple yet effective ANN architecture is present-ed with am-line adaptation of the activation function and learning parameters. Two methods of adapting the learning parameters are presented. In the first method, a heuristic approach to evaluate the learning rate as a polynomial of an energy function is considered. In the second method, a Fk based on-line adaption of the learning parameters is discussed. Performance of ANN, ANN-FL based and PI controllers are compared. A feasibility analysis is carried out to implement ease proposed neural controller algorithm in real-time.