TY - GEN
T1 - Winding Temperature Perception of High-speed PMSM Based on Model and Data Dual Drive
AU - Wang, Hao
AU - Liang, Deliang
AU - Jia, Shaofeng
AU - Liang, Yang
AU - Chu, Shuaijun
AU - Liang, Yongtao
N1 - Publisher Copyright:
© 2021 KIEE & EMECS.
PY - 2021
Y1 - 2021
N2 - The winding temperature rise of high-speed permanent magnet synchronization motor (HSPMSM) will lead to serious problems such as insulation failure, therefore it is extremely meaningful for real-time perception of winding temperature. According to the idea of model and data dual drive, this paper proposes a kind of improved recursive least square (IRLS) method based on the coordination of recursive least square (RLS) and artificial neural network (ANN). In the case of no additional signal injection, this method can effectively solve the failure problem of RLS under the condition of constant load torque. The winding temperature perception of a 20kW, 100krpm 2 pole 6 slot HSPMSM is simulated, and the simulation results demonstrate that the IRLS can correctly converge and track the temperature change of motor stator winding, and the absolute value of relative error is controlled within 1% after stability.
AB - The winding temperature rise of high-speed permanent magnet synchronization motor (HSPMSM) will lead to serious problems such as insulation failure, therefore it is extremely meaningful for real-time perception of winding temperature. According to the idea of model and data dual drive, this paper proposes a kind of improved recursive least square (IRLS) method based on the coordination of recursive least square (RLS) and artificial neural network (ANN). In the case of no additional signal injection, this method can effectively solve the failure problem of RLS under the condition of constant load torque. The winding temperature perception of a 20kW, 100krpm 2 pole 6 slot HSPMSM is simulated, and the simulation results demonstrate that the IRLS can correctly converge and track the temperature change of motor stator winding, and the absolute value of relative error is controlled within 1% after stability.
KW - High-speed motor
KW - improved recursive least square method
KW - Winding temperature perception
UR - https://www.scopus.com/pages/publications/85123916652
U2 - 10.23919/ICEMS52562.2021.9634406
DO - 10.23919/ICEMS52562.2021.9634406
M3 - 会议稿件
AN - SCOPUS:85123916652
T3 - ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems
SP - 2626
EP - 2629
BT - ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Conference on Electrical Machines and Systems, ICEMS 2021
Y2 - 31 October 2021 through 3 November 2021
ER -