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 :
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