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

Jae-Gon Choi Jae-Gon Choi,June Ho Park June Ho Park,Gi-Hyun Hwang Gi-Hyun Hwang,Hyeon Tae Kang Hyeon Tae Kang

doi:10.1109/isie.2001.931986

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

Jae-Gon Choi Jae-Gon Choi, June Ho Park June Ho Park + Show 2 more

https://doi.org/10.1109/isie.2001.931986

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Publication Date: Jun 12, 2001

Citations: 10

Affiliation: Pusan National University

#Adaptive Evolutionary Algorithm #Design Of Fuzzy Logic Controller + Show 8 more

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Abstract

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.

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