Self-Learning Direct Flux Vector Control of Interior Permanent-Magnet Machine Drives
Yazarlar (3)
Tianfu Sun
The University Of Sheffield, İngiltere
Jiabin Wang
The University Of Sheffield, İngiltere
Doç. Dr. Mikail KOÇ
Kırşehir Ahi Evran Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | IEEE Transactions on Power Electronics (Q1) | ||
| Dergi ISSN | 0885-8993 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2017 |
| Cilt / Sayı / Sayfa | 32 / 6 / 4652–4662 | DOI | 10.1109/TPEL.2016.2602243 |
| Makale Linki | http://ieeexplore.ieee.org/document/7549098/ | ||
| Özet |
| This paper proposes a novel self-learning control scheme for interior permanent-magnet synchronous machine (IPMSM) drives to achieve the maximum-torque-per-ampere (MTPA) operation in the constant-torque region and voltage-constraint MTPA (VCMTPA) operation in the field-weakening region. The proposed self-learning control (SLC) scheme is based on the newly reported virtual-signal-injection-aided direct flux vector control. However, other searching-based optimal control schemes in the flux-torque (f-t) reference frame are also possible. Initially, the reference flux amplitudes for MTPA operations are tracked by virtual signal injection and the data are used by the proposed SLC scheme to train the reference flux map online. After training, the proposed control scheme generates the optimal reference flux amplitude with fast dynamic response. The proposed control scheme can achieve MTPA or VCMTPA control fast and accurately without accurate prior knowledge of machine parameters and can adapt to machine parameter changes during operation. The proposed control scheme is verified by experiments under various operation conditions on a prototype 10 kWIPMSM drive. |
| Anahtar Kelimeler |
| Interior permanent-magnet synchronous machine (IPMSM) | maximum-torque-per-ampere (MTPA) operation | self-learning control (SLC) | signal injection |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 22 |
| SCOPUS | 24 |