DocumentCode :
1767573
Title :
Identification of induction motor parameters for self-commissioning procedure: A new algorithm and experimental verification
Author :
Peresada, Sergei ; Kovbasa, Sergey ; Prystupa, Dmitriy ; Lyshevski, Sergey E.
Author_Institution :
Dept. of Electr. Eng., Nat. Tech. Univ. of Ukraine “KPI”, Kiev, Ukraine
fYear :
2014
fDate :
1-4 June 2014
Firstpage :
818
Lastpage :
823
Abstract :
A new identification procedure to identify unknown parameters of induction motors for self-commissioning of vector controlled electrical drives is developed, substantiated and experimentally verified. Our algorithm uses a full-order adaptive observer to estimate stator fluxes and motor parameters: rotor resistance, stator (rotor) inductances, and, magnetizing inductance. Experiments demonstrate that the adaptive observer provides accuracy of identified parameters, asymptotic convergence of estimation errors to zero, and, fast convergence. The proposed solution is of a particular importance in high-performance electromechanical systems with speed measurements as well as sensorless vector controls.
Keywords :
inductance; induction motor drives; machine vector control; magnetic flux; observers; rotors; stators; electromechanical systems; full-order adaptive observer; induction motor parameter identification; magnetizing inductance; rotor inductance; rotor resistance; self-commissioning process; sensorless vector control; speed measurements; stator flux estimation; stator inductance; vector controlled electrical drives; Estimation error; Induction motors; Observers; Parameter estimation; Rotors; Stators; estimation; identification; induction motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/ISIE.2014.6864717
Filename :
6864717
Link To Document :
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