Development of a Methodology for Dynamic Motor Control with Machine Learning

Authors

  • David Aguilar Robles Benemérita Universidad Autónoma de Puebla
  • Ma. del Carmen Santiago Díaz Benemérita Universidad Autónoma de Puebla
  • Ana Claudia Zenteno Vázquez Benemérita Universidad Autónoma de Puebla
  • Yeiny Romero Hernández Benemérita Universidad Autónoma de Puebla
  • Judith Pérez Marcial Benemérita Universidad Autónoma de Puebla
  • Gustavo T. Rubín Linares Benemérita Universidad Autónoma de Puebla

DOI:

https://doi.org/10.61467/2007.1558.2023.v14i3.406

Keywords:

Machine learning, dynamic control, intelligent assistants

Abstract

In robotics, the problem of precision in position control of the different motor systems requires the evaluation of multiple variables in real time in order not to cause instability in the robot due to processing time. In this work, a methodology based on automatic learning of motor systems is proposed in order to be able to generate control actions in advance of their measurement and processing, for which a second-order system and its response to disturbances such as step signals are proposed.

Downloads

Published

2023-12-31

How to Cite

Aguilar Robles, D., Santiago Díaz, M. del C., Zenteno Vázquez, A. C., Romero Hernández, Y., Pérez Marcial, J., & Rubín Linares, G. T. (2023). Development of a Methodology for Dynamic Motor Control with Machine Learning. International Journal of Combinatorial Optimization Problems and Informatics, 14(3), 42–52. https://doi.org/10.61467/2007.1558.2023.v14i3.406

Issue

Vol. 14 No. 3 (2023)

Section

Articles

License

Copyright (c) 2023 International Journal of Combinatorial Optimization Problems and Informatics

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Most read articles by the same author(s)