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Author: search.filters.author.Phumiphak, T.Subject: search.filters.subject.Genetic algorithms

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    Estimation of induction motor parameters based on field test coupled with genetic algorithm
    (2002-01-01)
    Phumiphak, T.
    ;
    Chat-Uthai, C.
    This paper proposed a technique for estimating the parameters of three-phase induction motor in order to conduct on-site energy audits of existing motors, which are then used to project a cost savings. This proposed technique uses only a few sets of data (voltage, current, speed, power factor or torque if possible) from the field test of motor (on-site), instead of the no-load and blocked rotor tests, coupled with the genetic algorithm for evaluating the equivalent circuit parameters. Once these parameters are known it is possible to obtain the operating performances (50-100%) of the motor such as efficiency, current, torque. This technique could be suitable for the general purpose drive applications when the motor cannot operate at no-load since its shaft is permanently connected to its load. To illustrate how well the performances of the estimated model matches that of the actual motor obtained from load test, the results of 3 HP and 5 HP induction motors will be presented and compared.