Precise torque control for interior mounted permanent magnet synchronous motors with recursive least squares algorithm based parameter estimations
Yazarlar (2)
Doç. Dr. Mikail KOÇ Kırşehir Ahi Evran Üniversitesi, Türkiye
Dr. Öğr. Üyesi Osman Emre ÖZÇİFLİKÇİ Kırşehir Ahi Evran Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Engineering Science and Technology an International Journal (Q1) | ||
| Dergi ISSN | 2215-0986 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2022 |
| Cilt / Sayı / Sayfa | 34 / 1 / 101087–0 | DOI | 10.1016/j.jestch.2021.101087 |
| Makale Linki | http://dx.doi.org/10.1016/j.jestch.2021.101087 | ||
| Özet |
| Interior mounted permanent magnet (IPM) machines have superior features comparing to their counterparts for electric vehicle traction applications. Having relatively higher efficiency, high torque and power densities, low torque ripple and not requirement of regular maintenance are among their superior features. It is widely known that the precise torque control in practical IPM drives highly relies on accurate knowledge of machine parameters viz, inductance values and magnetic flux linkage. These machine parameters vary significantly in real time operation depending on manufacturing tolerance, operating temperature, inductance saturation, load torque and so on. It is known that d- and q- axis inductances and magnetic flux linkage at the full load operation may be approximately 20%, 35% and 20%, respectively, lower than their actual values at no-load operation. It is also commonly known in the literature for … |
| Anahtar Kelimeler |
| Electric vehicles | IPM drives | MTPA | Parameter estimation | RLS |
Science Direct
Precise torque control for interior mounted permanent magnet synchronous motors with recursive least squares algorithm based parameter estimations
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 22 |
| Scopus | 22 |
| Web of Science | 12 |