DocumentCode :
330414
Title :
Parameter identification of a mathematical model of induction motors via least squares techniques
Author :
Alonge, F. ; Ippolito, F.D. ; La Barbera, S. ; Raimondi, F.M.
Author_Institution :
Ist. di Autom. e Sistemistica, Palermo Univ., Italy
Volume :
1
fYear :
1998
fDate :
1-4 Sep 1998
Firstpage :
491
Abstract :
This paper deals with off-line identification of electrical and mechanical parameters of induction motors, using least square techniques. Two stator currents, three stator voltages and speed are acquired during an experimental test consisting of a start transient up to steady state and a stop transient from steady state to standstill. For identification, the acquired signals and their derivatives are filtered by means of digital anti-causal filters. The input-output behaviour obtained by means of simulation using the mathematical model with estimated parameters is compared with that detected experimentally with the aim of showing the validity of the approach described
Keywords :
digital filters; filtering theory; induction motors; least squares approximations; machine theory; parameter estimation; stators; digital filters; filtering; identification; induction motors; least squares method; mathematical model; parameter estimation; stator currents; stator voltages; transients; Digital filters; Induction motors; Least squares methods; Mathematical model; Parameter estimation; Signal processing; Stators; Steady-state; Testing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
Type :
conf
DOI :
10.1109/CCA.1998.728497
Filename :
728497
Link To Document :
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