DocumentCode
2194705
Title
On-line identification of induction motors through discrete models for sinusoidal signals
Author
Prado, Alcindo Do, Jr. ; De Sousa, Antonio H. ; Ferrari, Sandro M.
Author_Institution
Santa Catarina State Univ.
fYear
2006
fDate
23-26 May 2006
Firstpage
1287
Lastpage
1292
Abstract
This work presents a method for on-line identification of induction motors based on discrete model of the linear relationship existent among the stator flux and current in the rotor frame. The modeling arises by considering the sinusoidal nature of these signals, and their sampling without zero order holder. The method presupposes the estimate of these signals from their measurements in the stator frame, the estimate of the stator resistance with DC excitation, the measurements of the rotor angular velocity and the knowledge of the motor class, in order to one obtain the other electric parameters through classic methods of least squares. Simulation and experimental results illustrate the methodology
Keywords
angular velocity measurement; induction motors; least squares approximations; magnetic flux; parameter estimation; rotors; stators; DC excitation; discrete models; induction motors; least squares methods; online identification; rotor angular velocity measurements; rotor frame current; sinusoidal signals; stator flux; stator resistance estimation; Angular velocity; Electric resistance; Electric variables measurement; Electrical resistance measurement; Induction motors; Rotors; Sampling methods; Signal processing; Stators; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
Conference_Location
Taormina
Print_ISBN
1-4244-0193-3
Type
conf
DOI
10.1109/SPEEDAM.2006.1649966
Filename
1649966
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