DocumentCode
2871863
Title
PMSM identification for automotive applications: Cancellation of position sensor errors
Author
Henwood, Nicolas ; Malaizé, Jérémy ; Praly, Laurent
Author_Institution
Signal & Syst. Dept., IFP New Energy, Rueil-Malmaison, France
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
687
Lastpage
692
Abstract
The rotor position plays a significant role in identification of motor parameters in Permanent Magnet Synchronous Machines (PMSMs). This paper presents a new model, taking into account errors in measurement of rotor position, for PMSM. A Least Squares (LS) algorithm, based on this new model, is also presented. The proposed algorithm relies on currents, voltages and speed measurements, and identifies both motor parameters and the value of the position error. The method is experimentally implemented and the results demonstrate that the new proposed model and LS algorithm improve the identified resistance and dq-axis inductances, while the rotor flux is hardly affected by the position error. Moreover, a study of measurement uncertainties is conducted to establish confidence intervals on the identified parameters.
Keywords
automotive electrics; least squares approximations; machine theory; measurement errors; measurement uncertainty; parameter estimation; permanent magnet machines; synchronous machines; PMSM identification; dq-axis inductances; least square algorithm; measurement uncertainty; motor parameter identification; permanent magnet synchronous machines; position sensor error cancellation; rotor flux; rotor position measurement errors; speed measurements; Equations; Mathematical model; Noise; Permanent magnet motors; Resistance; Rotors; Synchronous motors;
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.2011.6119393
Filename
6119393
Link To Document