Title :
Parameter identification of induction motor model by means of state space-vector model output error minimization
Author :
Accetta, A. ; Alonge, F. ; Cirrincione, M. ; Pucci, M. ; Sferlazza, A.
Author_Institution :
ISSIA, Palermo, Italy
Abstract :
This paper proposes a technique for the off-line estimation of the electrical parameters of the equivalent circuit of an Induction Machines (IM), and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences between the measured stator current direct (sD) and quadrature (sQ) components and the corresponding estimated by the IM state model. This method exploits an entire start-up transient of the IM to estimate all of the 4 electrical parameters of the machine (Rs, Ls, σLs, Tr). It proposes also a set of tests to be made in order to estimate the variation of the magnetic parameters of the IM versus the rotor magnetizing current as well as the magnetizing curve of the machine. The proposed methodology has been verified experimentally on a suitably developed test set-up.
Keywords :
cost reduction; equivalent circuits; estimation theory; induction motors; machine theory; magnetisation; minimisation; parameter estimation; rotors; stators; vectors; IM state model; cost minimization; electrical parameter estimation; equivalent circuit; induction machine; induction motor model; magnetic parameter estimation; offline estimation technique; parameter identification; rotor magnetizing current; state space-vector model output error minimization; stator current measurement; Estimation; Induction motors; Magnetic flux; Parameter estimation; Rotors; Stators; Steady-state;
Conference_Titel :
Electrical Machines (ICEM), 2014 International Conference on
Conference_Location :
Berlin
DOI :
10.1109/ICELMACH.2014.6960279