Control directo del par de un motor de inducción utilizando redes neuronales

Published in: Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 24-26, 2019
Location of Conference: Montego Bay, Jamaica
Authors: Libardo Gamboa Araque (Universidad de Pamplona, CO)
Jorge Luis Diaz Rodriguez (Universidad de Pamplona, CO)
Aldo Pardo García (Universidad de Pamplona, CO)
(Universidad de Pamplona)
Full Paper: #290


This paper deals with the speed control of a squirrel cage induction motor with direct torque control (DTC) using Matlab/Simulink program for simulation with the aim of later implementation. The DTC control keeps the magnetic flux and torque of the motor constant, for which it estimates the magnetic flux and the torque in the stator, measuring the voltages and currents in the stator, in addition, it selects the suitable voltage according to the angle of the flow and if it is desired to increase or decrease the torque or the magnetic flux. In this work, the selection of the appropriate voltage is made with an artificial neural network, in order to determine if this contributes to decrease the torque and flux ripple because the DTC is characterized by having a very fast dynamic response but a high ripple in the torque and electromagnetic flux response.