Journal Article

·2004

Genetic Algorithm Based Optimal Self-Tuning Fuzzy Logic Controller for Power System Static VAR Stabiliser

K. Burak Dalci YTU , M. Uzunoglu YTU , İbrahim Beklan Küçükdemiral YTU

International Journal of Electrical Engineering Education

Abstract

In this study, a novel method is proposed for the compensation of loads that vary frequently in time. The proposed scheme is based on the fuzzy logic controller (FLC) that is widely used in control of nonlinear processes. FLC architecture is used for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. On the other hand, the constant gains of the basis: PI controller are optimised by a genetic algorithm. Experimental results demonstrate that the proposed method shows better performance than that of the conventional PI controller.

Keywords

Control theory (sociology) Fuzzy logic Controller (irrigation) PID controller Genetic algorithm Nonlinear system Computer science Basis (linear algebra) Compensation (psychology) Power (physics) Self-tuning Mathematics Control engineering Control (management) Engineering Artificial intelligence Temperature control

Subject Areas

Power System Optimization and Stability ·Electrical and Electronic Engineering ·Physical Sciences
Elevator Systems and Control ·Control and Systems Engineering ·Physical Sciences
Advanced Sensor and Control Systems ·Control and Systems Engineering ·Physical Sciences

Citations by Year

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Affordable and clean energy 60%