6533b86dfe1ef96bd12c95c4
RESEARCH PRODUCT
Parameter identification of induction motor model using genetic algorithms
Francesco AlongeFrancesco RaimondiFilippo D'ippolitoG. Ferrantesubject
EngineeringEstimation theorybusiness.industryOpen-loop controllerSystem identificationControl engineeringPower (physics)Genetic algorithmInduction motorsSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryGenetic algorithmInverterTransient (oscillation)Electrical and Electronic EngineeringbusinessInstrumentationInduction motordescription
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 voltages, and currents and 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. © IEE, 1998.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1998-11-01 | IEE Proceedings - Control Theory and Applications |