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
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;
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-61284-969-0
DOI :
10.1109/IECON.2011.6119583