DocumentCode :
2593210
Title :
A RMRAC parameter identification algorithm for induction motors
Author :
Azzolin, R.Z. ; Gründling, H.A.
Author_Institution :
Power Electron. & Control Res. Group - GEPOC, Fed. Univ. of Santa Maria - UFSM, Santa Maria, Brazil
fYear :
2009
fDate :
Sept. 27 2009-Oct. 1 2009
Firstpage :
1171
Lastpage :
1176
Abstract :
This paper presents a discrete time algorithm able to identify all electrical parameters of three phase induction motors. This technique can be also applied to identification of other machines such as permanent magnet synchronous motor (PMSM), single-phase induction motors (SPIM), and others systems, that will be described opportunely. The identification algorithm is based on robust model reference adaptive controller (RMRAC) applied to electric machine model. The identification uses only measurements of stator currents with standstill rotor. From the correct parameters it is possible to design high performance controllers and sensorless drives for the induction motor. Furthermore, the correct parameters of induction motor allow a better representation of dynamic simulation behavior of machine. Experimental results are presented to provide the effectiveness of the method.
Keywords :
induction motors; machine control; model reference adaptive control systems; parameter estimation; permanent magnet motors; robust control; electric machine model; parameter identification algorithm; permanent magnet synchronous motor; robust model reference adaptive controller; single-phase induction motors; standstill rotor; stator currents; Adaptive control; Current measurement; Electric machines; Induction motors; Parameter estimation; Permanent magnet motors; Programmable control; Robust control; Sensorless control; Stators; Induction motor; RMRAC algorithm; parameters identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Conference, 2009. COBEP '09. Brazilian
Conference_Location :
Bonito-Mato Grosso do Sul
ISSN :
2175-8603
Print_ISBN :
978-1-4244-3369-8
Electronic_ISBN :
2175-8603
Type :
conf
DOI :
10.1109/COBEP.2009.5347686
Filename :
5347686
Link To Document :
بازگشت