| Yazarlar |
Tianfu Sun
|
|
Jiabin Wang
|
|
Mikail KOÇ
Türkiye |
|
Xiao Chen
|
| Özet |
| This paper describes a simple but effective novel self-learning maximum torque per ampere (MTPA) control scheme for interior permanent-magnet synchronous machine (IPMSM) drives to achieve fast dynamic response in tracking the MTPA points without accurate prior knowledge of machine parameters. The proposed self-learning control (SLC) scheme generates the optimal d-axis current command for MTPA operation after training. Virtual signal injection control (VSIC), which has been recently developed as a novel parameter-independent MTPA points tracking scheme, is utilized to train the SLC and compensate the error of the SLC during its operation. In this way, the proposed SLC can achieve the MTPA operation accurately with fast response and the online training of the SLC will not affect MTPA operation of IPMSM drives. The proposed control scheme is verified by simulations and experiments under various operation conditions on a prototype IPMSM drive system. |
| Anahtar Kelimeler |
| Interior permanent-magnet synchronous machine (IPMSM) | maximum torque per ampere (MTPA) control | self-learning control (SLC) | signal injection | signal processing | torque control | virtual signal injection control (VSIC) |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayımlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Web of Science Kapsamındaki Kongre/Sempozyum |
| Bildiri Dili | İngilizce |
| Kongre Adı | 2015 IEEE International Electric Machines Drives Conference (IEMDC) |
| Kongre Tarihi | 10-05-2015 / 13-05-2015 |
| Basıldığı Ülke | Amerika Birleşik Devletleri |
| Basıldığı Şehir | Coeur D’Xxalene, Id, Usa |
| Atıf Sayıları | |
| WoS | 41 |
