Intelligent current controller for an HVDC transmission link

This paper describes an intelligent current controller for the fast and flexible control of an HVDC transmission link using artificial neural network (ANN) and fuzzy logic (FL) paradigms. A simple yet effective ANN architecture is presented with online 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 FL based online adaptation 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 the proposed neural controller algorithm in real-time.