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Journals / Advances in Artificial Intelligence Research / 2021 / Cilt: 1 Sayı: 2

Meta-heuristic algorithm-based optimal PID controller design for Power Converters

Cihan Demircan(SÜLEYMAN DEMİREL ÜNİVERSİTESİ)0000-0003-2094-0473
Onur Vahip Güler(MUĞLA SITKI KOÇMAN ÜNİVERSİTESİ)0000-0002-0910-1743
Ali Keçebaş(MUĞLA SITKI KOÇMAN ÜNİVERSİTESİ)0000-0003-4809-2461
Pages
67–72
Publication Date
2021-09-05
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The obtained results indicate that PID control is better than the others.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The DC-DC converters are one of the important components of the renewable energy systems.
📊
Key Findings & Data: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.
💡
Conclusion & Impact:The obtained results indicate that PID control is better than the others.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Buck Converter · PID Control · Artificial Bee Colony

Abstract

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.

🔖

Cite This Article

Demircan, C., Güler, O. V., Keçebaş, A. (2021). Meta-heuristic algorithm-based optimal PID controller design for Power Converters. Advances in Artificial Intelligence Research, Cilt: 1 Sayı: 2, 67–72. https://ajindex.com/articles/1440814

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