Identifying induction machine parameters using a genetic optimization algorithm

A method using a genetic optimization algorithm is applied to identifying the parameters of an induction motor from load test data. Induction motor parameter estimation and a simulation test are described. The algorithm was tested using data from a laboratory 0.5 hp three-phase induction motor. The results indicate that genetic algorithms can be used for identifying induction motor parameters from machine test data. Experience with the algorithm indicated that it is robust and may find results under conditions of noisy and inconsistent test data.<
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