TY - GEN
T1 - An Improved Control Strategy of PM-Assisted Synchronous Reluctance Machines Based on an Extended State Observer
AU - Li, Dongyang
AU - Gu, Chunyang
AU - Wang, Shuo
AU - Zhang, He
AU - Gerada, Christopher
AU - Camilleri, Robert
AU - Zhang, Yue
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - PM-Assisted synchronous reluctance machines (PMSynRM) show large speed fluctuations and poor dynamic response when encountering a large disturbance. Additionally, the PI controller is not capable of eliminating steady-state errors when disturbances are encountered. An extended state observer (ESO) based control method is proposed in this paper to resolve these problems. Thanks to the proposed control strategy, the ESO can detect and provide feedback to the controller in a short period of time, which allows it to respond in a timely manner. Speed Control accuracy is increased, and response time is reduced simultaneously as a result. Meanwhile, stability analysis is implemented to determine the stability condition of the observer, so that optimized observer parameters could be obtained. The ESO-based control strategy is effective at reducing dynamic response time and increasing control accuracy, according to simulations.
AB - PM-Assisted synchronous reluctance machines (PMSynRM) show large speed fluctuations and poor dynamic response when encountering a large disturbance. Additionally, the PI controller is not capable of eliminating steady-state errors when disturbances are encountered. An extended state observer (ESO) based control method is proposed in this paper to resolve these problems. Thanks to the proposed control strategy, the ESO can detect and provide feedback to the controller in a short period of time, which allows it to respond in a timely manner. Speed Control accuracy is increased, and response time is reduced simultaneously as a result. Meanwhile, stability analysis is implemented to determine the stability condition of the observer, so that optimized observer parameters could be obtained. The ESO-based control strategy is effective at reducing dynamic response time and increasing control accuracy, according to simulations.
KW - PM-assisted synchronous reluctance machines
KW - extended state observer
UR - http://www.scopus.com/inward/record.url?scp=85142828453&partnerID=8YFLogxK
U2 - 10.1109/ITECAsia-Pacific56316.2022.9941931
DO - 10.1109/ITECAsia-Pacific56316.2022.9941931
M3 - Conference contribution
AN - SCOPUS:85142828453
T3 - 2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022
BT - 2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022
Y2 - 28 October 2022 through 31 October 2022
ER -