DocumentCode :
2649720
Title :
Electrical parameters identification of hermetic Refrigeration compressors with Single-Phase Induction Machines using RLS algorithm
Author :
Vieira, Rodrigo Padilha ; Azzolin, Rodrigo Zelir ; Gastaldini, Cristiane Cauduro ; Gründling, Hilton Abílio
Author_Institution :
Power Electron. Res. Group, Fed. Univ. of Santa Maria-UFSM, Santa Maria, Brazil
fYear :
2010
fDate :
6-8 Sept. 2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a methodology for parameter identification of a Single-Phase Induction Machine (SPIM) of an air conditioning compressor. From the machine model two classical Recursive Least Square (RLS) algorithms are applied at qd axes based on current measurements with standstill rotor. The identification is achieved with standstill rotor due the fact that this methodology allow to be implemented in hermetic refrigeration compressor driven by SPIM. Then, the identified parameters can improve the performance of the Field Oriented Control (FOC) and sensorless techniques used in these systems. Furthermore, the correct parameters of Single-Phase Induction Machine allow a better representation of dynamic simulation behavior of compressor driven by SPIM. Experimental results are presented to provide the effectiveness of the method.
Keywords :
air conditioning; asynchronous machines; compressors; least squares approximations; machine vector control; parameter estimation; refrigeration; rotors; air conditioning compressor; electrical parameters identification; field oriented control; hermetic refrigeration compressors; qd axes; recursive least square algorithm; single-phase induction machines; standstill rotor; Compressors; Current measurement; Induction machines; Mathematical model; Parameter estimation; Rotors; Stators; Induction Machine; Parameter Estimation; Recursive Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines (ICEM), 2010 XIX International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4174-7
Electronic_ISBN :
978-1-4244-4175-4
Type :
conf
DOI :
10.1109/ICELMACH.2010.5607994
Filename :
5607994
Link To Document :
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