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Abstract
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In this research work, two optimization methods based on Imperialistic Competitive Algorithm (ICA) and Harmony Search Algorithm (HAS) are presented for offline parameter estimation of double-cage asynchronous machines. The methods utilize the manufacturer's name plate data to obtain the steady-state equivalent circuit parameters of the motor. The feasibility and accuracy of the proposed methods are evaluated for two different 5hp and 40hp motors, through the comparison of the simulation results whit those obtained from the previously developed methods results. Simulation outcomes and performance curves prove the accuracy of the methods in estimating of the motor parameters.
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