DocumentCode :
2425161
Title :
Speed estimation of induction motor using modified voltage model flux estimation
Author :
Zhao, Kun ; You, Xiaojie
Author_Institution :
Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2009
fDate :
17-20 May 2009
Firstpage :
1979
Lastpage :
1982
Abstract :
Speed estimation in field-oriented vector control of induction motor depends on effective estimation of rotor flux. This paper proposes speed estimator using improved rotor flux estimator based on modified voltage model with a high orders low-pass filter (LPF) and a low-pass filter in series and an error compensator by rotor flux oriented current model. In the flux estimation based on voltage model, a high orders LPF can remove the DC offset input of back EMF, a LPF is normally used to replace the pure integrator to avoid integration drift and saturation problems and the flux estimation error is compensated according to rotor flux oriented current model. The proposed the speed estimator realizes errorless speed estimation in steady state and makes the error of speed estimation smaller in dynamic state. The speed estimation is verified by speed sensorless field-oriented vector controlled 2.2 kW induction motor. Experimental results demonstrate high performance of the speed estimator.
Keywords :
induction motors; machine vector control; DC offset input; back EMF; error compensator; field-oriented vector control; high orders low-pass filter; induction motor; low-pass filter; modified voltage model flux estimation; power 2.2 kW; rotor flux estimation error; rotor flux oriented current model; speed estimation; AC motors; Equations; Estimation error; Induction motors; Low pass filters; Machine vector control; Observers; Rotors; State estimation; Voltage; flux estimation; induction motor; modified voltage model; speed estimator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3556-2
Electronic_ISBN :
978-1-4244-3557-9
Type :
conf
DOI :
10.1109/IPEMC.2009.5157719
Filename :
5157719
Link To Document :
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