DocumentCode :
1473068
Title :
Comparison of resistance-based and inductance-based self-sensing controls for surface permanent-magnet machines using high-frequency signal injection
Author :
Yang, Shih-Chin ; Lorenz, Robert D.
Author_Institution :
Texas Instrum. Motor Lab., Dallas, TX, USA
Volume :
48
Issue :
3
fYear :
2012
Firstpage :
977
Lastpage :
986
Abstract :
This paper presents injection-based self-sensing (position sensorless) control methods for surface permanent magnet (SPM) machines with concentrated windings (CWs) and distributed windings (DWs). Two position-dependent spatial saliency signals are compared. The two signals relate to resistance variation due to high-frequency eddy current losses and to inductance variation due to stator tooth saturation. Finite-element analysis is performed to investigate the properties of two saliency signals in different SPM machines. Implementation methods, as well as advantages for closed-loop control, are discussed. This paper includes experimental evaluation of resistance-based versus inductance-based self-sensing control performance in SPM machines with CWs and DWs.
Keywords :
closed loop systems; finite element analysis; machine windings; permanent magnet motors; position control; sensorless machine control; closed loop control; concentrated winding; distributed winding; finite element analysis; high frequency signal injection; inductance based self-sensing control; inductance variation; position dependent spatial saliency signals; position sensorless control method; resistance based self-sensing control; stator tooth saturation; surface permanent magnet machine; surface permanent magnet machines; Eddy currents; Magnetic hysteresis; Rotors; Saturation magnetization; Stator windings; Eddy current; high-frequency (HF) injection; self-sensing; sensorless control; surface permanent-magnet (SPM) machine;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2012.2191254
Filename :
6171847
Link To Document :
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