A new finite-element technique for squirrel cage Induction Motor features analysis is presented in this paper. Motor performances are directly predicted performing on-load test simulations, in several working points. The finite-element analyses are carried out imposing both stator and rotor currents. Thus, only magnetostatic simulations are needed to get the electromagnetic quantities, such as torque and slip. Saturation phenomena can be considered in any operating conditions under load, with short computational time. In each motor working point, a very fast finite-element procedure, closely linked with the analytical machine model, is used to catch the proper current distribution in stator and rotor slots. It allows the motor performances to be predicted without the preliminary knowledge of the machine equivalent circuit parameters. Experimental tests are carried out and reported in order to verify analysis results.

A fast and direct analysis of three-phase induction motors using finite element

Matteo Carbonieri;
In corso di stampa

Abstract

A new finite-element technique for squirrel cage Induction Motor features analysis is presented in this paper. Motor performances are directly predicted performing on-load test simulations, in several working points. The finite-element analyses are carried out imposing both stator and rotor currents. Thus, only magnetostatic simulations are needed to get the electromagnetic quantities, such as torque and slip. Saturation phenomena can be considered in any operating conditions under load, with short computational time. In each motor working point, a very fast finite-element procedure, closely linked with the analytical machine model, is used to catch the proper current distribution in stator and rotor slots. It allows the motor performances to be predicted without the preliminary knowledge of the machine equivalent circuit parameters. Experimental tests are carried out and reported in order to verify analysis results.
In corso di stampa
23rd International Conference on Electrical Machines
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3277430
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