Design of fuzzy logic controller for HVDC using an adaptive evolutionary algorithm

This paper presents an optimal design method for a fuzzy logic controller (FLC) of HVDC using an adaptive evolutionary algorithm (AEA). We propose an AEA, which uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner to take merits of the two different evolutionary algorithms. We use AEA to tune fuzzy membership functions and scaling constants. Simulation result shows that disturbances are well damped and the dynamic performances of FLC have better responses than those of PD controller when the AC system load changes suddenly.