DocumentCode :
1342088
Title :
Real-time estimation of the electric parameters of an induction machine using sinusoidal PWM voltage waveforms
Author :
De Souza Ribeiro, Luiz Antonio ; Jacobina, Cursino Brandão ; Lima, Antonio Marcus Nogueira ; Oliveira, Alexandre Cunha
Author_Institution :
Dept. de Engenharia Eletrica, Centro Fed. de Educacao Tecnologica do Maranhao, Sao Luis, Brazil
Volume :
36
Issue :
3
fYear :
2000
Firstpage :
743
Lastpage :
754
Abstract :
This paper studies the parameter estimation of induction machines. The problems associated with the parameter estimation of induction machines are analyzed through sensitivity functions. Then, models and a procedure to estimate a set of four basic parameters (rs, σls, ls, and τr) are proposed. The discrete-time parameter estimation models are written in the δ operator specifically because it provides good numerical properties at high sampling rates, where the discrete-time model approaches its continuous-time equivalent. This feature permits the direct estimation of the continuous-time parameters. The main feature of the proposed procedure is the possibility to estimate the parameters by using sinusoidal signals, and without the measurement of the machine speed. The experimental results obtained with the proposed estimation procedure are presented and demonstrate that it is possible to map the parameters in terms of the operating conditions of the induction machine
Keywords :
asynchronous machines; control system analysis; machine control; machine theory; parameter estimation; sensitivity analysis; δ operator; continuous-time equivalent; continuous-time parameters; control simulation; discrete-time parameter estimation models; induction machine; real-time electrical parameters estimation; sampling rate; sensitivity functions; sinusoidal PWM voltage waveforms; Costs; Induction machines; Industry Applications Society; Jacobian matrices; Parameter estimation; Pulse width modulation; Sampling methods; Sensor phenomena and characterization; Velocity measurement; Voltage;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/28.845049
Filename :
845049
Link To Document :
بازگشت