Araştırma Makalesi

HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM

Cilt: 28 Sayı: 2 31 Ağustos 2023
PDF İndir
EN TR

HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM

Öz

Due to its high computational complexity, fractional order (FO) derivative operators have been widely implemented by using rational transfer function approximation methods. Since these methods commonly utilize frequency domain approximation techniques, their time responses may not be prominent for time-domain solutions. Therefore, time response improvements for the approximate FO derivative models can contribute to real-world performance of FO applications. Recent works address the hybrid use of popular frequency-domain approximation methods and time-domain approximation methods to deal with time response performance problems. In this context, this study presents a hybrid approach that implements Continued Fraction Expansion (CFE) method as frequency domain approximation and applies the gradient descent optimization (GDO) for step response improvement of the CFE-based approximate model of FO derivative operators. It was observed that GDO can fine-tune coefficients of CFE-based rational transfer function models, and this hybrid use can significantly improve step and impulse responses of CFE-based approximate models of derivative operators. Besides, we demonstrate analog circuit realization of this optimized transfer function model of the FO derivative element according to the sum of low pass active filters in Multisim and Matlab simulation environments. Performance improvements of hybrid CFE-GDO approximation method were demonstrated in comparison with the stand-alone CFE method.

Anahtar Kelimeler

Kaynakça

  1. 1. Bertsias, P., Psychalinos, C., Maundy, B. J., Elwakil, A. S. & Radwan, A. G. (2019) Partial fraction expansion–based realizations of fractional‐order differentiators and integrators using active filters, International Journal of Circuit Theory and Applications, 47(4), 513–531. https://doi.org/10.1002/cta.2598
  2. 2. Bingi, K., Ibrahim, R., Karsiti, M. N., Hassam, S. M. & Harindran, V. R. (2019) Frequency Response Based Curve Fitting Approximation of Fractional–Order PID Controllers, International Journal of Applied Mathematics and Computer Science, 29(2), 311–326. https://doi.org/10.2478/amcs-2019-0023
  3. 3. Caponetto, R., Dongola, G., Fortuna, L. & Petráš, I. (2010). Fractional Order Systems. In Advances in Industrial Control (Vol. 72, Issue 9781849963343). WORLD SCIENTIFIC. https://doi.org/10.1142/7709
  4. 4. Chen, Y., Petráš, I. & Xue, D. (2009) Fractional order control-a tutorial, 2009 American Control Conference, 1397–1411. https://doi.org/10.1109/ACC.2009.5160719
  5. 5. Colín-Cervantes, J. D., Sánchez-López, C., Ochoa-Montiel, R., Torres-Muñoz, D., Hernández-Mejía, C. M., Sánchez-Gaspariano, L. A. & González-Hernández, H. G. (2021) Rational Approximations of Arbitrary Order: A Survey, Fractal and Fractional, 5(4), 267. https://doi.org/10.3390/fractalfract5040267
  6. 6. Delghavi, M. B., Shoja-Majidabad, S. & Yazdani, A. (2016) Fractional-Order Sliding-Mode Control of Islanded Distributed Energy Resource Systems, IEEE Transactions on Sustainable Energy, 7(4), 1482–1491. https://doi.org/10.1109/TSTE.2016.2564105
  7. 7. Deniz, F. N., Alagoz, B. B., Tan, N. & Atherton, D. P. (2016) An integer order approximation method based on stability boundary locus for fractional order derivative/integrator operators, ISA Transactions, 62, 154–163. https://doi.org/10.1016/j.isatra.2016.01.020
  8. 8. Deniz, F. N., Alagoz, B. B., Tan, N. & Koseoglu, M. (2020) Revisiting four approximation methods for fractional order transfer function implementations: Stability preservation, time and frequency response matching analyses, Annual Reviews in Control, 49, 239–257. https://doi.org/10.1016/j.arcontrol.2020.03.003

Ayrıntılar

Birincil Dil

İngilizce

Konular

Elektrik Mühendisliği

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

18 Ağustos 2023

Yayımlanma Tarihi

31 Ağustos 2023

Gönderilme Tarihi

26 Temmuz 2022

Kabul Tarihi

17 Nisan 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 28 Sayı: 2

Kaynak Göster

APA
Köseoğlu, M., Deniz, F. N., & Alagöz, B. B. (2023). HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 28(2), 403-416. https://doi.org/10.17482/uumfd.1148882
AMA
1.Köseoğlu M, Deniz FN, Alagöz BB. HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM. UUJFE. 2023;28(2):403-416. doi:10.17482/uumfd.1148882
Chicago
Köseoğlu, Murat, Furkan Nur Deniz, ve Barış Baykant Alagöz. 2023. “HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 28 (2): 403-16. https://doi.org/10.17482/uumfd.1148882.
EndNote
Köseoğlu M, Deniz FN, Alagöz BB (01 Ağustos 2023) HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 28 2 403–416.
IEEE
[1]M. Köseoğlu, F. N. Deniz, ve B. B. Alagöz, “HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM”, UUJFE, c. 28, sy 2, ss. 403–416, Ağu. 2023, doi: 10.17482/uumfd.1148882.
ISNAD
Köseoğlu, Murat - Deniz, Furkan Nur - Alagöz, Barış Baykant. “HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 28/2 (01 Ağustos 2023): 403-416. https://doi.org/10.17482/uumfd.1148882.
JAMA
1.Köseoğlu M, Deniz FN, Alagöz BB. HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM. UUJFE. 2023;28:403–416.
MLA
Köseoğlu, Murat, vd. “HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, c. 28, sy 2, Ağustos 2023, ss. 403-16, doi:10.17482/uumfd.1148882.
Vancouver
1.Murat Köseoğlu, Furkan Nur Deniz, Barış Baykant Alagöz. HYBRID APPROXIMATION METHOD FOR TIME RESPONSE IMPROVEMENT OF CFE BASED APPROXIMATE FRACTIONAL ORDER DERIVATIVE MODELS BY USING GRADIENT DESCENT ALGORITHM. UUJFE. 01 Ağustos 2023;28(2):403-16. doi:10.17482/uumfd.1148882

DUYURU:

30.03.2021- Nisan 2021 (26/1) sayımızdan itibaren TR-Dizin yeni kuralları gereği, dergimizde basılacak makalelerde, ilk gönderim aşamasında Telif Hakkı Formu yanısıra, Çıkar Çatışması Bildirim Formu ve Yazar Katkısı Bildirim Formu da tüm yazarlarca imzalanarak gönderilmelidir. Yayınlanacak makalelerde de makale metni içinde "Çıkar Çatışması" ve "Yazar Katkısı" bölümleri yer alacaktır. İlk gönderim aşamasında doldurulması gereken yeni formlara "Yazım Kuralları" ve "Makale Gönderim Süreci" sayfalarımızdan ulaşılabilir. (Değerlendirme süreci bu tarihten önce tamamlanıp basımı bekleyen makalelerin yanısıra değerlendirme süreci devam eden makaleler için, yazarlar tarafından ilgili formlar doldurularak sisteme yüklenmelidir).  Makale şablonları da, bu değişiklik doğrultusunda güncellenmiştir. Tüm yazarlarımıza önemle duyurulur.

Bursa Uludağ Üniversitesi, Mühendislik Fakültesi Dekanlığı, Görükle Kampüsü, Nilüfer, 16059 Bursa. Tel: (224) 294 1907, Faks: (224) 294 1903, e-posta: mmfd@uludag.edu.tr