Stochastic Search Technique with Variable Deterministic Constraints for the Estimation of Induction Motor Parameters

Stochastic Search Technique with Variable Deterministic Constraints for the Estimation of Induction Motor Parameters

This paper deals with the implementation of a new technique of stochastic search to find the best set of parameters in a mathematical model, applied to the single cage (SC) model of the induction motor (IM). The technique includes a new strategy to generate variable constraints of the domain, seven...

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Bibliographic Details
Main Authors: Carmenza Moreno Roa, Adolfo Andrés Jaramillo Matta, Juan David Bastidas Rodríguez
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Energies
Subjects:
induction motor
optimization
parameter determination
single cage model
stochastic search
variable domain constraints
Online Access:https://www.mdpi.com/1996-1073/13/1/273

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