HVDC control system based on fuzzified input perceptron

In this paper we propose a controller architecture for high voltage direct current (HVDC) based on our adaptive network called fuzzified input perceptron (FIP). In FIP, the THEN part membership function and defuzzification steps are combined together, as a result the overall structure becomes simple. Moreover the initial setting of FIP´s parameters can be selected based on expert knowledge. FIP´s parameters can be adjusted using a method based on steepest descent algorithm and Lyapunov stability criteria.