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Journals / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi / 2022 / Cilt: 11 - Sayı: 1

Metaheuristic optimization of predictive torque control for induction motor control

Asenkron motor kontrolü için öngörülü moment kontrolünün metasezgisel optimizasyonu

Emrah ZERDALİ
Aycan GÜREL
Pages
55–61
Publication Date
2022-10-21
DOI
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AI Summary & Key Takeaways

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

Finally, good control performance has been achieved.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Predictive torque control (PTC) is a high-performance control method of induction motors (IMs), which is still open to research.
📊
Key Findings & Data:It provides many advantages over mature control techniques, such as straightforward imple-mentation, the ability to handle nonlinearities, easy inclusion of additional control objectives, and modulator-free structure.
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Conclusion & Impact:Finally, good control performance has been achieved.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Asenkron motor · Öngörülü moment kontrolü · Metasezgisel optimizasyon

Abstract

Predictive torque control (PTC) is a high-performance control method of induction motors (IMs), which is still open to research. It provides many advantages over mature control techniques, such as straightforward imple-mentation, the ability to handle nonlinearities, easy inclusion of additional control objectives, and modulator-free structure. However, it has problems with the selection of weighting factors (WFs) involved in the cost function in PTC. In conventional PTC, these WFs are generally selected by the trial-and-error method. Also, a few studies optimize these WFs with a multi-objective optimization algorithm using both torque and flux errors. In this paper, the WF associated with the flux component is optimized by a genetic algorithm over the speed errors only. The optimized PTC is verified by simulation studies considering different operating conditions. Finally, good control performance has been achieved.

Özet

Öngörülü moment kontrolü (ÖMK), asenkron motorların (ASM’lerin) hala araştırmaya açık olan yüksek başarımlı kontrol yöntemlerinden biridir. Olgun kontrol tekniklerine kıyasla basit uygulama, doğrusal olmayan durumlarla başa çıkma yeteneği, ek kontrol hedeflerinin kolay dahil edilmesi ve modülatör içermeyen yapı vb. birçok üstünlük sağlamaktadır. Ancak, ÖMK maliyet fonksiyonunda yer alan ağırlıklandırma faktörlerinin (AF'lerin) seçimi ile ilgili sorunlara sahiptir. Geleneksel ÖMK’de bu AF’ler genellikle deneme-yanılma yöntemiyle seçilmektedir. Ayrıca, birkaç çalışma bu AF’leri hem moment hem de akı hatalarını kullanarak çok-amaçlı bir optimizasyon algoritması ile optimize eder. Bu çalışmada, akı bileşeniyle ilişkili AF, yalnızca hız hataları üzerinden bir genetik algoritma ile optimize edilmiştir. Optimize edilmiş ÖMK, farklı çalışma koşulları dikkate alınarak benzetim çalışmaları ile doğrulanmıştır. Son olarak, iyi bir kontrol performansı elde edilmiştir.

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Cite This Article

ZERDALİ, E., GÜREL, A. (2022). Metaheuristic optimization of predictive torque control for induction motor control. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 11 - Sayı: 1, 55–61. https://ajindex.com/articles/584384

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