DocumentCode :
2450600
Title :
MRAS-based speed estimation techniques for vector controlled double inverter-fed slipring induction motor drive
Author :
Maiti, Suman ; Chakraborty, Chandan
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur
fYear :
2008
fDate :
10-13 Nov. 2008
Firstpage :
1275
Lastpage :
1280
Abstract :
Two different speed estimation techniques for the doubly fed induction machines (DFIM) are reported here. One of the methods is based on reactive power and the other is based on the computation of flux. Model reference adaptive systems (MRAS) are formulated for speed estimation. The uniqueness of the reactive power based MRAS is that the instantaneous reactive power (IRP) is used in the reference model, whereas, steady state reactive power (SRP) is considered for the adjustable model. This type of estimator does not require calculation of the flux and hence reduces computational burden. Also, the scheme is independent of stator and rotor resistance variation. Simulation and experimental results are presented for the validation of the proposed algorithm. The flux based MRAS, independent of stator resistance variation, is also developed for the speed senseless operation of DFIM drive. It is noted that the available flux based MRAS are dependent on the change of stator resistance.
Keywords :
induction motor drives; invertors; machine vector control; model reference adaptive control systems; reactive power; MRAS-based speed estimation techniques; model reference adaptive systems; steady state reactive power; vector controlled double inverter-fed slipring induction motor drive; Adaptive systems; Frequency; Induction motor drives; Induction motors; Inverters; Power system modeling; Reactive power; Rotors; Stators; Steady-state; Doubly-fed; MRAS; Model Reference Adaptive System; induction motor; reactive power; sensorless; vector control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
ISSN :
1553-572X
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2008.4758138
Filename :
4758138
Link To Document :
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