The problem of estimating the parameters of induction motor models is considered, using the data measured by a circuit breaker equipped with industrial sensors. The breaker acquires three-phase stator voltage and current derivative, which are used to formulate an optimization-based identification problem. This setup is novel with respect to the literature, where voltage and current are used. Several algorithmic aspects and improvements are discussed. The presented experimental results indicate that the circuit breaker is able to accurately estimate the machine parameters. The identified motor models can then be used for several applications within a smart grid scenario.

Identification of Induction Motors Using Smart Circuit Breakers

Fagiano, Lorenzo;Lauricella, Marco;Ragaini, Enrico
2019-01-01

Abstract

The problem of estimating the parameters of induction motor models is considered, using the data measured by a circuit breaker equipped with industrial sensors. The breaker acquires three-phase stator voltage and current derivative, which are used to formulate an optimization-based identification problem. This setup is novel with respect to the literature, where voltage and current are used. Several algorithmic aspects and improvements are discussed. The presented experimental results indicate that the circuit breaker is able to accurately estimate the machine parameters. The identified motor models can then be used for several applications within a smart grid scenario.
2019
Circuit breakers; Current measurement; Induction motor identification; Induction motors; Integrated circuit modeling; nonlinear identification; parameter estimation; Sensors; smart circuit breakers; smart grid; smart switchgear; Stators; Voltage measurement; Control and Systems Engineering; Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1077616
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