A Robust Neural Method to Estimate Torque in Three-Phase Induction Motor

Induction motors are the key elements of electromechanical energy conversion in a variety of productive sectors. Torque is one of the major variables involved in the mechanical behavior of these motors. It can be used to diagnose fault and to monitor the energy efficiency of machine design by determining the load coupled to the shaft. However, the unbalanced voltage applied in stator winding provides electromagnetic torque oscillations in different operating modes. This paper presents a neural estimator applied to torque in induction motors which operate with unbalanced voltages in steady state. Simulation and experimental results are presented to demonstrate the behavior of the developed system and to validate the proposal.

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