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Journals / Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi / 2019 / Cilt: 19 Sayı: 3

Performing Speed Control of a DC Motor with Auto-Tuning PID

DC Motorun Otomatik Ayarlamalı PID ile Hız Kontrolünün Gerçekleştirilmesi

Said Mahmut Çınar(AFYON KOCATEPE UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF ELECTRICAL ENGINEERING)0000-0002-8683-3884
Zekeriya Balcı(VAN YÜZÜNCÜ YIL ÜNİVERSİTESİ, ÇALDIRAN MESLEK YÜKSEKOKULU)0000-0002-1825-0097
İsmail Yabanova(AFYON KOCATEPE UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF MECHATRONICS ENGINEERING)0000-0002-1825-0097
Pages
690–696
Publication Date
2019-12-31
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AI Summary & Key Takeaways

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

The results showed that performance of the PID controller tuned with LAbVIEW auto-tuning method is better than others.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Although advanced controllers are used in control applications, proportional-integral-derivative (PID) controllers are preferred in industry due to their simple structure and ease of application.
📊
Key Findings & Data:However, it can difficult to set these controller parameters for the controlled platform.
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Conclusion & Impact:The results showed that performance of the PID controller tuned with LAbVIEW auto-tuning method is better than others.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Kendinden ayarlamalı PID · DC motor · LabVIEW

Abstract

Although advanced controllers are used in control applications, proportional-integral-derivative (PID) controllers are preferred in industry due to their simple structure and ease of application. However, it can difficult to set these controller parameters for the controlled platform. These parameters tuning with trial-error method leads to time and job loss, and the parameters determined in this way cannot provide a sufficiently efficient operating characteristic. In order to overcome this problem related to PID parameter tuning many automatic tuning methods have been developed. In this paper, the automatic tuning method proposed by Aström and Hagglund was applied to a DC motor speed control system. The DC motor speed control system was implemented in an interface designed on Laboratory Virtual Instrument Electronic Workbench (LabVIEW) environment and CompactRIO unit. The PID parameters obtained with trial-error and two types auto-tuning methods were tested in the DC motor control system and achieved results were compered. The results showed that performance of the PID controller tuned with LAbVIEW auto-tuning method is better than others.

Özet

Kontrol uygulamalarında gelişmiş kontrolörler kullanılsa da PID (Proportional-Integral-Derivative) kontrolörler basit yapısından ve kolay uygulanabildiğinden dolayı endüstride tercih edilmektedir. Ancak kontrol edilecek platforma uygun PID parametrelerinin ayarlanması oldukça güç olabilmektedir. Bu parametrelerin deneme yanılma yöntemiyle ayarlanması zaman ve iş kaybına sebep olmakla birlikte bu yolla tespit edilen parametrelerle ayarlanan kontrolörler yeterince verimli bir çalışma karakteristiği sunmayabilmektedir. PID parametrelerinin ayarıyla ilgili bu sorunların üstesinden gelebilmek için çok sayıda otomatik ayar yöntemi geliştirilmiştir. Bu makalede Åström ve Hägglund tarafından önerilen otomatik ayar yöntemi bir DC motoru hız kontrol sistemine uygulanmıştır. Bu DC motor hız kontrol sistemi LabVIEW (Laboratory Virtual Instrument Electronic Workbench) ortamında geliştirilen ara yüz ve CompactRIO ünitesi üzerinde gerçekleştirilmiştir. Deneme yanılma ve iki farklı otomatik ayarlama yöntemiyle elde edilen PID parametreleri DC motor kontrol sistemi üzerinde denenmiş ve elde edilen sonuçlar karşılaştırılmıştır. Sonuçlar, LabVIEW otomatik ayarlama yöntemiyle elde edilen parametrelerle işletilen PID kontrolörün daha iyi performans gösterdiğini göstermiştir.

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Cite This Article

Çınar, S. M., Balcı, Z., Yabanova, İ. (2019). Performing Speed Control of a DC Motor with Auto-Tuning PID. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 19 Sayı: 3, 690–696. https://doi.org/10.35414/akufemubid.593609

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