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
fDate :
11/1/1998 12:00:00 AM
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;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:19982408