Diseño basado en modelos de la estrategia iMO-NMPCImplementación en dispositivos industriales
- Zabaljauregi, Asier 1
- Larrea, Mikel 1
- Irigoyen, Eloy 1
- Artaza Fano, Fernando 1
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1
Universidad del País Vasco/Euskal Herriko Unibertsitatea
info
Universidad del País Vasco/Euskal Herriko Unibertsitatea
Lejona, España
- Ramón Costa Castelló (coord.)
- Manuel Gil Ortega (coord.)
- Óscar Reinoso García (coord.)
- Luis Enrique Montano Gella (coord.)
- Carlos Vilas Fernández (coord.)
- Elisabet Estévez Estévez (coord.)
- Eduardo Rocón de Lima (coord.)
- David Muñoz de la Peña Sequedo (coord.)
- José Manuel Andújar Márquez (coord.)
- Luis Payá Castelló (coord.)
- Alejandro Mosteo Chagoyen (coord.)
- Raúl Marín Prades (coord.)
- Vanesa Loureiro-Vázquez (coord.)
- Pedro Jesús Cabrera Santana (coord.)
Publisher: Servizo de Publicacións ; Universidade da Coruña
ISBN: 9788497498609
Year of publication: 2023
Pages: 192-197
Congress: Jornadas de Automática (44. 2023. Zaragoza)
Type: Conference paper
Abstract
This paper presents the methodology being used within the Intelligent Control Research Group (GICI) of the UPV/EHU for the development of intelligent control strategies and their subsequent implementation in real-time platforms. Previous works have shown the implementation of the methodology up to the simulation phase. This work shows one of the last steps, in which, after validating the simulation of the code, it is transferred to an industrial hardware platform. In this way, the methodology is consolidated and the real capacity of the iMO-NMPC control strategy in restricted environments is demonstrated. The Baseline model from Speedgoat has been used as the hardware platform, as it is de facto the only hardware supported by the Mathworks Simulink real-time environment.