In order to predict the lateral rotordynamics of a high-speed induction motor, an optimization procedure is used for identifying the dynamic behavior of the magnetic core made of a lamination stack, tie rods, and short-circuit rods. Modal parameters predicted by a finite-element model based on beam elements and measured on induction motors are included in modal error functions contained in a functional. The minimization of this functional by using the Levenberg-Marquardt algorithm permits extracting the equivalent constitutive properties of the lamination stack for several rotors of different sizes. Finally, the size effect on the constitutive properties identified is discussed.

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Predicting the dynamic behavior of laminated rotors in bending requires the identification of the bending rigidity of the laminated core. An identification of constitutive properties is proposed on the rotor at rest, which is a first step for rotordynamics prediction. Modal parameters predicted and measured are included in a functional based on a hybrid Rayleigh quotient and combined with the Guyan method, the master degrees of freedom corresponding to the measurement points. The laminated core rigidity is extracted through a Levenberg-Marquardt minimization.

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In order to predict the lateral rotordynamics of a high speed induction motor, an optimization procedure is proposed for identifying the equivalent constitutive properties especially those of the magnetic core: an assembly of lamination stack, tie rods and short-circuit rods. Modal parameters predicted by a finite element (FE) branched model based mainly on beam elements, and measured on an induction motor are included in an original energy functional. The minimization of this functional by using the Levenberg-Marquardt algorithm permits extracting the equivalent constitutive properties of the lamination stack.