An Adaptive Filter-Based Online Parameter Identification Method for Permanent Magnet Synchronous Motors
Yazarlar (2)
Dr. Öğr. Üyesi Faruk ERKEN Kastamonu Üniversitesi, Türkiye
Salahddin Ramadan Omran Albedwi
General Electricity Company Of Libya, Libya
General Electricity Company Of Libya, Libya
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Arabian Journal for Science and Engineering (Q2) | ||
| Dergi ISSN | 2193-567X Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2026 |
| Cilt / Sayı / Sayfa | 51 / 6 / 8285–8297 | DOI | 10.1007/s13369-025-10644-6 |
| Makale Linki | https://doi.org/10.1007/s13369-025-10644-6 | ||
| UAK Araştırma Alanları |
Elektrik Makineleri ve Enerji Dönüşümü
Makine Öğrenmesi
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| Özet |
| The reliable and high-performance operation of permanent magnet synchronous motors (PMSMs) fundamentally depends on the accurate estimation of their electrical parameters. These parameters are affected by various operational factors like temperature and current, and their precise estimation is key to optimizing motor performance. In particular, the winding resistance and rotor flux in PMSMs vary with temperature, whereas stator inductances exhibit nonlinear behavior due to magnetic saturation influenced by the operating current. In this study, a novel online parameter estimation method is introduced, which leverages an adaptive filter based on the normalized least mean square (N-LMS) algorithm. The approach utilizes the voltage equations expressed in the d-q reference frame, which is commonly used for modeling PMSM dynamics. To facilitate the convergence of the parameter values, a low-value ... |
| Anahtar Kelimeler |
| Adaptive filters | Parameter identification | Permanent magnet synchronous motor (PMSM) |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 1 |