Contribuciones en el campo de la detección de la posición y velocidad de motores "Brushed DC" y "Brushless DC" mediante técnicas sensorless

Real, Gamazo; Carlos, José

doi:10.35376/10324/18771

Cited by 1 publication

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Por esa razón en las pruebas del controlador adaptativo se utilizará un modelo con una plataforma de motor DC, para realizar las pruebas y obtener resultados experimentales [10]. Con el desarrollo del algoritmo por interacción adaptativa se busca mejorar el tiempo computacional y la performance para el control de la velocidad angular del motor DC, haciendo que la acción de control sea capaz de lograr un error en estado estacionario nulo, con mínimo sobre impulso y de respuesta rápida en un mínimo tiempo de establecimiento.…”

Section: Introduccionunclassified

Estimation of the IDGREY model and by adaptive interaction applied to an EMG30 dc motor

Rodriguez-Bustinza,

Rubiños-Jimenez,

Mendoza-Nolorbe

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

View full text Add to dashboard Cite

This research carried out the development of the experimental model through the acquisition of data from a direct current motor, through the identification of a gray box model for speed control under the LabVIEW platform. The precision of the experimental model was validated by solving the speed control problem of the DC motor, in this case the adaptive interaction control technique was applied to a multilayer perceptron network, obtaining as a result an error prediction of 97%. With which it is concluded that the system adapts quite well to the precision of the model.

show abstract

Section: Introduccionunclassified