TY - GEN
T1 - A MRAS Based Identification Method of Stator Resistance Considering Iron Loss for Main Machine in Wound-Rotor Synchronous Starter-Generator
AU - Han, Xu
AU - Liu, Weiguo
AU - Jiao, Ningfei
AU - Yao, Pu
AU - Li, Zijie
AU - Mao, Shuai
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The brushless wound-field synchronous machine is an important candidate for the integrated stator-generator of more-electric aircraft. The stator resistance of the main machine is an important parameter for the optimization control of the brushless wound-rotor synchronous starter-generator. Due to the large armature currents of the main machine, the stator resistance will change with the heating of armature windings. This paper proposes an online estimation method based on model reference adaptive system considering iron loss for the stator resistance of main machine. The adjustable model is derived and the adaptive law is designed based on the Popov's hyperstability theory. Experiment results of the starting process show that this online estimation method can effectively identify the stator resistance.
AB - The brushless wound-field synchronous machine is an important candidate for the integrated stator-generator of more-electric aircraft. The stator resistance of the main machine is an important parameter for the optimization control of the brushless wound-rotor synchronous starter-generator. Due to the large armature currents of the main machine, the stator resistance will change with the heating of armature windings. This paper proposes an online estimation method based on model reference adaptive system considering iron loss for the stator resistance of main machine. The adjustable model is derived and the adaptive law is designed based on the Popov's hyperstability theory. Experiment results of the starting process show that this online estimation method can effectively identify the stator resistance.
KW - model reference adaptive system
KW - resistance online estimation
KW - wound-rotor synchronous starter-generator
UR - http://www.scopus.com/inward/record.url?scp=85182335123&partnerID=8YFLogxK
U2 - 10.1109/ICEMS59686.2023.10345183
DO - 10.1109/ICEMS59686.2023.10345183
M3 - 会议稿件
AN - SCOPUS:85182335123
T3 - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
SP - 1880
EP - 1884
BT - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th International Conference on Electrical Machines and Systems, ICEMS 2023
Y2 - 5 November 2023 through 8 November 2023
ER -