@inproceedings{c0e3fa932efc4ffa9e6bb0e4766d7ec3,
title = "Parameters estimation of induction motor using subspace methods",
abstract = "Parameter and speed estimation in induction motors is a research topic of wide interest. Good estimates of electrical parameters and motor speed are required for designing and tuning controllers of motor drive systems. This paper compares the efficiency of different parameter estimation techniques for characterizing an induction motor supplied by a voltage source inverter. Two of the techniques belong to the so called subspace identification method to estimate linear state space models and the other, is a standard prediction error method. The comparison is based on the experimental data acquired from a laboratory prototype microcomputer-based induction motor drive system.",
keywords = "Control systems, Induction motors, Inverters, Laboratories, Motor drives, Parameter estimation, Predictive models, State estimation, State-space methods, Voltage",
author = "R. Corteletti and Barros, {P. R.} and Lima, {A. M.N.}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE International Symposium on Industrial Electronics, ISIE 2003 ; Conference date: 09-06-2003 Through 11-06-2003",
year = "2003",
doi = "10.1109/ISIE.2003.1267899",
language = "English",
series = "IEEE International Symposium on Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "667--671",
booktitle = "2003 IEEE International Symposium on Industrial Electronics, ISIE 2003",
}