Abstract
Induction motors represent the main component in most of the industries. They use the biggest energy percentages in industrial facilities. This consume depends on the operation conditions of the induction motor imposed by its internal parameters. In this approach, the parameter estimation process is transformed into a multidimensional optimization problem where the internal parameters of the induction motor are considered as decision variables. Thus, the complexity of the optimization problem tends to produce multimodal error surfaces in which their cost functions are significantly difficult to minimize.
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Cuevas, E., Barocio Espejo, E., Conde Enríquez, A. (2019). Metaheuristic Schemes for Parameter Estimation in Induction Motors. In: Metaheuristics Algorithms in Power Systems. Studies in Computational Intelligence, vol 822. Springer, Cham. https://doi.org/10.1007/978-3-030-11593-7_2
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DOI: https://doi.org/10.1007/978-3-030-11593-7_2
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