DocumentCode :
3679619
Title :
Stand-still self identification of flux characteristics for SynRM using novel saturation approximating function and multiple linear regression
Author :
Nicola Bedetti;Sandro Calligaro;Roberto Petrella
Author_Institution :
Drive and Motion Control Unit Gefran, s.p.a. Gerenzano, Varese (Italy)
fYear :
2015
Firstpage :
2995
Lastpage :
3002
Abstract :
Accuracy of motor characterization has a fundamental role in dynamics, torque accuracy and efficiency of vector controlled Synchronous Reluctance Motor (SynRM) drives. Control performances and robustness in the whole speed/torque range, including the flux-weakening region, and in sensorless operation strongly rely on the knowledge of machine flux vs. current characteristics. A convenient flux saturation approximating function is proposed in this paper, together with an efficient parameters self-identification procedure. The adopted strategy is very simple and can be performed at standstill by injecting a proper voltage stimulus (current control is not involved), and does not require any additional hardware (motor can be either connected or disconnected from mechanical load). Nevertheless an excellent fitting for the flux curves on both axes is obtained, using reasonable memory and computational resources. These features make the technique very suitable to motor identification in industrial drives. Experimental results based on a commercial drive and two SynRM machines are reported to demonstrate the effectiveness of the proposal. Extensions of the method to the evaluation of the whole flux map (including cross-saturation effects) or to interior permanent magnet machines is also investigated and verified.
Keywords :
"Permanent magnet motors","Reluctance motors","Rotors","Hysteresis motors","Inductance","Torque"
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2015 IEEE
ISSN :
2329-3721
Electronic_ISBN :
2329-3748
Type :
conf
DOI :
10.1109/ECCE.2015.7310079
Filename :
7310079
Link To Document :
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