Estimation of the IDGREY model and by adaptive interaction applied to an EMG30 dc motor (#1231)
Read ArticleDate of Conference
July 19-21, 2023
Published In
"Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development"
Location of Conference
Buenos Aires
Authors
Rodriguez-Bustinza, Ricardo
Rubiños-Jimenez, Santiago
Mendoza-Nolorbe, Juan
Santos-Mejia, Cesar
Mendoza-Apaza, Fernando
Leva-Apaza, Antenor
Tejada-Cabanillas, Adan
Abstract
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.