Hacia la puesta en marcha virtual de células robotizadas basada en gemelo digital

  1. Darío Orive 1
  2. Nagore Iriondo 1
  3. Oskar Casquero 1
  4. Marga Marcos 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

Libro:
XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019
  1. Jose Luis Calvo Rolle (coord.)
  2. Jose Luis Casteleiro Roca (coord.)
  3. María Isabel Fernández Ibáñez (coord.)
  4. Óscar Fontenla Romero (coord.)
  5. Esteban Jove Pérez (coord.)
  6. Alberto José Leira Rejas (coord.)
  7. José Antonio López Vázquez (coord.)
  8. Vanesa Loureiro Vázquez (coord.)
  9. María Carmen Meizoso López (coord.)
  10. Francisco Javier Pérez Castelo (coord.)
  11. Andrés José Piñón Pazos (coord.)
  12. Héctor Quintián Pardo (coord.)
  13. Juan Manuel Rivas Rodríguez (coord.)
  14. Benigno Rodríguez Gómez (coord.)
  15. Rafael Alejandro Vega Vega (coord.)

Editorial: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Año de publicación: 2019

Páginas: 147-154

Congreso: Jornadas de Automática (40. 2019. Ferrol)

Tipo: Aportación congreso

Resumen

One of the challenges of Industry 4.0 is to have more flexible systems, which allow to manufacture more personalized products, adapted to customer demand, as well as reducing development and production times. In this sense, the optimization of the design, development and validation phases of the process control system is crucial. Currently, there are software tools to develop virtual models of machines and production lines, called "Digital Twin", as well as software tools to perform the "Virtual Commissioning", which allow simulation testing of the process control program against a digital twin instead of the real process. This paper presents, on the one hand, the steps to follow in order to develop digital twins of robotic cells, and on the other hand, how it can be simulated with both SiL and HiL using tools from Siemens PLM platform.