DocumentCode
2179098
Title
Torque ripple minimization for PMSM using online estimation of the stator resistances
Author
Xu, Y. ; Parspour, N. ; Vollmer, U.
Author_Institution
AE/ENS, Robert Bosch GmbH, Schwieberdingen, Germany
fYear
2012
fDate
2-5 Sept. 2012
Firstpage
1107
Lastpage
1113
Abstract
The tolerances and limitations in design and manufacturing of both motors and inverters lead to parasitic resistances in the phases. Therefore, the phase resistances are asymmetric, which causes an asymmetry among the phase currents which in turn leads to torque ripples. This paper proposes a novel scheme for torque ripple minimization using online estimation of unbalanced stator resistances. The stator resistances of a permanent magnet synchronous motor are estimated by recursive least squares in rotational reference frame in real time. Torque ripple reduction is achieved by a compensation scheme in stationary reference frame. Because the proposed estimation method requires relatively little additional computing time in a field-oriented control, it could also be applied in online fault diagnosis. The effectiveness of the proposed scheme is proven in simulations and test-bench experiments.
Keywords
fault diagnosis; invertors; least squares approximations; machine vector control; permanent magnet motors; recursive estimation; stators; synchronous motors; PMSM; compensation scheme; field-oriented control; inverters; online estimation; online fault diagnosis; parasitic resistances; permanent magnet synchronous motor; phase resistances; recursive least squares; rotational reference frame; stationary reference frame; test-bench experiments; torque ripple minimization; unbalanced stator resistances; Electrical resistance measurement; Estimation; Inverters; Mathematical model; Resistance; Stators; Torque; permanent magnet motors; recursive estimation; resistance; stators; torque control;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines (ICEM), 2012 XXth International Conference on
Conference_Location
Marseille
Print_ISBN
978-1-4673-0143-5
Electronic_ISBN
978-1-4673-0141-1
Type
conf
DOI
10.1109/ICElMach.2012.6350014
Filename
6350014
Link To Document