Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor

beller, serkan

doi:10.21605/cukurovaumfd.1230790

Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor

Serkan BELLER (Çukurova Üniversitesi, İmamoğlu Meslek Yüksekokulu Doğalgaz ve Tesisat Teknolojileri Bölümü, Adana, Türkiye)

Çukurova Üniversitesi Mühendislik Fakültesi dergisi

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Yıl: 2022 Cilt: 37 Sayı: 4 Sayfa Aralığı: 885 - 898 Metin Dili: İngilizce DOI: 10.21605/cukurovaumfd.1230790 İndeks Tarihi: 16-01-2023

Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor

Öz:

Today, with the advances in electricity-electronics, the usage areas of DC motors have increased considerably. DC motors have high starting torques and speed can be adjusted over a wide range. In the present experimental study, different weights connected to the motor shaft were rotated at different speeds, at variable distances, in the angle range of 0º-345º degrees. Thus, different torque values produced by the DC motor were observed. In some cases, the amount of torque produced at low rotational speeds may have non-linear values. This allows the use of artificial intelligence methods for accurate torque estimation. In the present study, different uses of Elman Backpropagation Neural Network (EBNN) and General Regression Neural Network (GRNN) are given for the estimation of the best torque values. Performance comparisons were made according to mean square error (MSE), regression coefficient (R2), root square error (RSE), and mean absolute error (MAE) values.

Anahtar Kelime: DC motor Torque estimation Artificial intelligence EBNN GRNN

Bir Fırçalı Redüktörlü Dc Motorda Yapay Zeka Yöntemleriyle Tork

Öz:

Günümüzde elektrik-elektronikteki ilerlemelerle birlikte DC motorların kullanım alanları oldukça artmıştır. DC motorlar yüksek başlangıç torklarına sahiptir ve hızları geniş bir aralıkta ayarlanabilir. Mevcut deneysel çalışmada motor miline bağlı olan farklı ağırlıklar, farklı hızlarda, değişken uzaklıklarda, 0º-345º derece açı aralığında döndürülmüştür. Böylece DC motorun ürettiği farklı tork değerleri gözlemlenmiştir. Bazı durumlarda düşük dönme hızlarında üretilen tork miktarı doğrusal olmayan değerlere sahip olabilmektedir. Bu durum doğru tork tahmini için yapay zeka metotlarının kullanılmasına imkan sağlamaktadır. Mevcut çalışmada en iyi tork değerlerinin tahmini için Elman Backpropagation Neural Network (EBNN) ve General Regression Neural Network (GRNN) ağlarının farklı kullanımlarına yer verilmiştir. Performans kıyaslamaları ortalama karesel hata (MSE), regresyon katsayısı (R2), kök karesel hata (RSE), ve ortalama mutlak hata (MAE) değerlerine göre yapılmıştır.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	beller s (2022). Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. , 885 - 898. 10.21605/cukurovaumfd.1230790
Chicago	beller serkan Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. (2022): 885 - 898. 10.21605/cukurovaumfd.1230790
MLA	beller serkan Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. , 2022, ss.885 - 898. 10.21605/cukurovaumfd.1230790
AMA	beller s Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. . 2022; 885 - 898. 10.21605/cukurovaumfd.1230790
Vancouver	beller s Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. . 2022; 885 - 898. 10.21605/cukurovaumfd.1230790
IEEE	beller s "Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor." , ss.885 - 898, 2022. 10.21605/cukurovaumfd.1230790
ISNAD	beller, serkan. "Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor". (2022), 885-898. https://doi.org/10.21605/cukurovaumfd.1230790

APA	beller s (2022). Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. Çukurova Üniversitesi Mühendislik Fakültesi dergisi, 37(4), 885 - 898. 10.21605/cukurovaumfd.1230790
Chicago	beller serkan Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. Çukurova Üniversitesi Mühendislik Fakültesi dergisi 37, no.4 (2022): 885 - 898. 10.21605/cukurovaumfd.1230790
MLA	beller serkan Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. Çukurova Üniversitesi Mühendislik Fakültesi dergisi, vol.37, no.4, 2022, ss.885 - 898. 10.21605/cukurovaumfd.1230790
AMA	beller s Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. Çukurova Üniversitesi Mühendislik Fakültesi dergisi. 2022; 37(4): 885 - 898. 10.21605/cukurovaumfd.1230790
Vancouver	beller s Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. Çukurova Üniversitesi Mühendislik Fakültesi dergisi. 2022; 37(4): 885 - 898. 10.21605/cukurovaumfd.1230790
IEEE	beller s "Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor." Çukurova Üniversitesi Mühendislik Fakültesi dergisi, 37, ss.885 - 898, 2022. 10.21605/cukurovaumfd.1230790
ISNAD	beller, serkan. "Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor". Çukurova Üniversitesi Mühendislik Fakültesi dergisi 37/4 (2022), 885-898. https://doi.org/10.21605/cukurovaumfd.1230790