DocumentCode :
1495542
Title :
Parameter identification of induction motor model using genetic algorithms
Author :
Alonge, F. ; D´Ippolito, Filippo ; Ferrante, G. ; Raimondi, F.M.
Author_Institution :
Inst. di Autom. e Sistemistica, Palermo Univ., Italy
Volume :
145
Issue :
6
fYear :
1998
fDate :
11/1/1998 12:00:00 AM
Firstpage :
587
Lastpage :
593
Abstract :
The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms. It is supposed that the inverter supplying the motor is directly accessible for control of the conduction sequences of its power switches. This makes it possible to carry out a test consisting of a transient from standstill to steady-state operation at a given frequency and successive free motion to standstill. During this test, data are acquired referring to stator voltage, current and rotor speed. Then, a genetic algorithm is employed with the aim of determining the mechanical and electrical parameters of the model, so as to reproduce the input-output behaviour of a real open-loop system
Keywords :
genetic algorithms; induction motors; machine theory; parameter estimation; genetic algorithms; induction motor; inverter; machine model; open-loop system; parameter identification; rotor speed; stator current; stator voltage;
fLanguage :
English
Journal_Title :
Control Theory and Applications, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2379
Type :
jour
DOI :
10.1049/ip-cta:19982408
Filename :
756371
Link To Document :
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