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Resumen

 

ARTIFICIAL INTELLIGENCE TECHNIQUE BASED ON ARTIFICIAL NEURONAL NETWORKS APPLY TO A VECTOR CONTROLLED INDUCTION MOTOR

TECNICA DE INTELIGENCIA ARTIFICIAL BASADA EN REDES NEURONALES APLICADA AL CONTROL VECTORIAL DE MOTOR DE INDUCCION
PhD. Aldo Pardo García.
MSc. Jorge Luis Díaz Rodríguez.
Ing. Carolina Martínez Quintero.

Abstract: One of the main things needed in electrical conventional drive controllers is the capacity to capture the unknown load characteristics around a wide range of the operation point; this hinders the controller's parameters’ selection and tuning. In this work we used an Artificial Neural Network (ANN) for the identification of a field oriented controlled (FOC) induction motor. The neural network training results and the system identification simulation, both, are exposed in this paper.

Resumen: Una de las principales deficiencias de los controladores convencionales de los accionamientos eléctricos es la incapacidad de capturar las características desconocidas de una carga alrededor de un amplio rango del punto de operación, lo cual dificulta la selección y ajuste de los parámetros del controlador. En este trabajo se propone la utilización de las Redes Neuronales Artificiales (RNA) para la identificación de un motor de inducción por campo orientado. También se exponen los resultados obtenidos luego de realizar el entrenamiento de la red y la simulación de la identificación del sistema.

Keywords: Induction motor, field oriented control, artificial neural networks, identification.