DocumentCode :
3034453
Title :
Speed and position estimation technique for PMSM based on modified machine model
Author :
Ilioudis, Vasilios C. ; Margaris, Nikolaos I.
Author_Institution :
Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fYear :
2010
fDate :
20-22 May 2010
Firstpage :
407
Lastpage :
415
Abstract :
This paper presents a new sensorless speed and position estimation method for salient-pole Permanent Magnet Synchronous Motor (PMSM) based on a new mathematical model. All the system variables are expressed in a γδ estimated rotating reference frame. The modified back Electromotive Force (EMF) observer estimates the rotor speed and position utilizing the equivalent control signals of a sliding mode observer (SMO). PMSM parameter changes including stator resistance and permanent magnet flux are compensated by means of SMO. Additionally the initial rotor position is not needed for the overall observer implementation. Simulation results demonstrate the effectiveness of the proposed estimation method using Matlab/Simulink facility.
Keywords :
estimation theory; observers; permanent magnet motors; synchronous motors; variable structure systems; Matlab-Simulink facility; PMSM; equivalent control signals; mathematical model; modified back electromotive force observer; modified machine model; permanent magnet flux; position estimation technique; rotating reference frame estimation; salient-pole permanent magnet synchronous motor; sensorless speed estimation technique; sliding mode observer; stator resistance; Electric variables control; Force control; Force sensors; Magnetic variables control; Mathematical model; Permanent magnet motors; Rotors; Sensorless control; Sliding mode control; Stators; Modified PMSM Model; Modified back-EMF; Permanent Magnet; Sensorless Control; Sliding Mode Observer (SMO); Synchronous Motor (PMSM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th International Conference on
Conference_Location :
Basov
ISSN :
1842-0133
Print_ISBN :
978-1-4244-7019-8
Type :
conf
DOI :
10.1109/OPTIM.2010.5510497
Filename :
5510497
Link To Document :
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