Title :
Improved accuracy of sensorless position estimation by combining resistance- and inductance-based saliency tracking
Author :
Johannes Graus;Ingo Hahn
Author_Institution :
Chair of Electrical Drives and Machines, University Erlangen-Nuremberg, Cauerstrasse 9, 91058 Erlangen, Germany
Abstract :
At standstill and low-speed, signal-injection methods are required to estimate the rotor position of a permanent magnet synchronous machine (PMSM). Therefore, usually either the resistance- or inductance-based saliency is examined. Although the latter case can be found most in literature, it is possible that the sensorless performance can be improved by exploiting the position information of both saliencies at the same time instead of evaluating only one of both. Therefore, this paper proposes a modified position estimation method which combines both the resistance- and inductance-based saliency. Based on measurement results of a PMSM, the new method is compared to the sole resistance- and inductance-based saliency tracking.
Keywords :
"Rotors","Windings","Impedance","Estimation error","Resistance","Stators"
Conference_Titel :
Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
DOI :
10.1109/IECON.2015.7392540