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Journals / Gazi Üniversitesi Fen Bilimleri Dergisi / 2005 / Cilt: 18 - Sayı: 3

Sinirsel bulanık denetleyici kullanarak bir anahtarlamalı güç kaynağında güç faktörü düzeltimi

Power factor correction of a switching mode power supply by using neuro-fuzzy controller

İsmail ATACAK
Ömer Faruk BAY
Pages
421–437
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

Simulations show that NF controlled SMPS offers faster dynamic response and achieves good power factor correction than PI controlled SMPS.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The operation of front-end power converters can cause many undesirable effects in the Alternative Current (AC) power system.
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Key Findings & Data:Performances of these two controllers are compared through the computer simulation.
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Conclusion & Impact:Simulations show that NF controlled SMPS offers faster dynamic response and achieves good power factor correction than PI controlled SMPS.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The operation of front-end power converters can cause many undesirable effects in the Alternative Current (AC) power system. To prevent these undesirable effects, high-quality rectifiers, also called Power Factor Correctors . (PFC) should be used. In this paper, power factor correction of switching mode power supply (SMPS) by using Neuro-Fuzzy (NF) controller is proposed. Average current control technique is used in PFC unit of the SMPS and current mode control technique is used in buck converter unit of the SMPS. To make comparison, the proposed SMPS is also controlled using traditional Proportional and Integral (PI) controller. Performances of these two controllers are compared through the computer simulation. Simulations show that NF controlled SMPS offers faster dynamic response and achieves good power factor correction than PI controlled SMPS.

Özet

Çeşitli cihazlarda kullanılan güç dönüştürücüleri, alternatif akım (AA) güç sistemlerinde bir çok istenmeyen etkilere sebep olabilmektedir. Bu istenmeyen etkileri önlemek için, Güç Faktörü Düzelticiler(GFD) olarak adlandırılan yüksek kaliteli doğrultucular kullanılmalıdır. Bu makalede, Sinirsel Bulanık Mantık (SBM) denetleyicisi kullanılarak anahtarlamah güç kaynağının (AGK) güç faktörü düzeltmesi sunulmaktadır. AGK' nın GFD biriminde ortalama akım denetim tekniği, gerilim düşüren dönüştürücü biriminde akım mod denetim tekniği kullanılmaktadır. Kıyaslama yapmak için, önerilen AGK aynı zamanda geleneksel oransal integral (PI) denetleyici kullanılarak da denetlenmektedir. Bu iki denetleyicinin başarımı bilgisayar benzetimleri ile karşılaştırılmaktadır. Benzetim çalışmaları, SBM denetleyicin' AGK' nın PI denetleyicili AGK' ya göre daha hızlı dinamik cevaba sahip olduğu ve daha iyi bir güç faktörü düzeltmesi yaptığını göstermektedir.

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Cite This Article

ATACAK, İ., BAY, Ö. F. (2022). Sinirsel bulanık denetleyici kullanarak bir anahtarlamalı güç kaynağında güç faktörü düzeltimi. Gazi Üniversitesi Fen Bilimleri Dergisi, Cilt: 18 - Sayı: 3, 421–437. https://ajindex.com/articles/521635

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References (1)

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