Meta-heuristic algorithm-based optimal PID controller design for Power Converters
Advances in Artificial Intelligence Research, 2021•dergipark.org.tr
The DC-DC converters are one of the important components of the renewable energy
systems. In this study, meta-heuristic-based intelligent control schemes are applied, such as,
proportional-integrator (PI), proportional-derivative (PD) and proportional-integrator-
derivative (PID) control. The gain parameters of the PID controlled DC-DC buck or step-
down converter is optimized with the artificial bee colony (ABC) algorithm. The obtained
results indicate that PID control is better than the others.
systems. In this study, meta-heuristic-based intelligent control schemes are applied, such as,
proportional-integrator (PI), proportional-derivative (PD) and proportional-integrator-
derivative (PID) control. The gain parameters of the PID controlled DC-DC buck or step-
down converter is optimized with the artificial bee colony (ABC) algorithm. The obtained
results indicate that PID control is better than the others.
The DC-DC converters are one of the important components of the renewable energy systems. In this study, meta-heuristic-based intelligent control schemes are applied, such as, proportional-integrator (PI), proportional-derivative (PD) and proportional-integrator-derivative (PID) control. The gain parameters of the PID controlled DC-DC buck or step-down converter is optimized with the artificial bee colony (ABC) algorithm. The obtained results indicate that PID control is better than the others.
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