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This wo rk presents an approach to estimate speed in induction motors based on artificial neural networks and using measurement of primary variables like voltage and current. The use of induction motors is very common in many industrial sec- tors and plays an important role in the national energetic scene. The methodologies used in machine diagnoses, energy effi- ciency, start up and dimensioning of these motors are based on measures of the speed variable. However, the direct measure of this variable compromises the control system and start up of the machine, reducing its robustness and increasing the implemen- tation costs. Simulation results and experimental data are presented to validate the proposed approach.

Estimador neural de velocidade para motores de indução trifásicos