DocumentCode :
2875145
Title :
Dynamic performance improvement based on a new parameter estimation method for IPMSM used for HEVs
Author :
Wang, Aimeng ; Zhang, Li ; Dong, Shuhui
Author_Institution :
Sch. of Electr. Eng., North China Electr. Power Univ., Baoding, China
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
1825
Lastpage :
1829
Abstract :
In view of the inductance parameter variation caused by magnetic saturation in the interior permanent magnet synchronous motor (IPMSM), a new on-line parameter estimation method is proposed, which can compensate the magnetic saturation effect on the IPMSM control system used for hybrid electric vehicles (HEVs). The on-line parameter estimation method including a closed-loop observer that can improve the parameter estimation accuracy and robustness, and hence the system dynamic performance can be improved. The simulation results demonstrate that the system with the proposed method can obtain the precise inductance estimation with simpler and easier implementation, consequently better robustness and accuracy control performance than those without the proposed model can be achieved.
Keywords :
closed loop systems; hybrid electric vehicles; machine control; observers; parameter estimation; permanent magnet motors; synchronous motors; HEV; IPMSM; IPMSM control system; closed-loop observer; control performance; dynamic performance improvement; hybrid electric vehicle; inductance estimation; inductance parameter variation; interior permanent magnet synchronous motor; magnetic saturation effect; online parameter estimation method; system dynamic performance; Adaptation models; Control systems; Estimation; Inductance; Parameter estimation; Saturation magnetization; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6119583
Filename :
6119583
Link To Document :
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