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Model-Based Design of the IMO-NMPC Strategy: Real-Time Implementation

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18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) (SOCO 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 749))

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Abstract

This paper presents the methodology employed by the Intelligent Control Research Group (GICI) of the UPV/EHU for developing intelligent control strategies and implementing them on real-time platforms. Previous works have focused on the simulation phase of the methodology. However, this work represents one of the final steps where the code, after simulation validation, is transferred to an industrial hardware platform. This strengthens the methodology and demonstrates the actual capability of the iMO-NMPC control strategy in constrained settings. The Speedgoat baseline model was used as the hardware platform.

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Acknowledgments

This work comes under the framework of the projects PID2020-120087GB-C22 and PID2020-120087GB-C21 granted by the Ministry of Science and Innovation of the Government of Spain. (AEI/ https://dx.doi.org/10.13039/501100011033).

Author information

Authors and Affiliations

  1. UPV/EHU, Escuela de Ingeniería de Gipuzkoa, Plaza Europa, 1, 20018, Donostia, Spain

    Mikel Larrea

  2. UPV/EHU, Escuela de Ingeniería de Bilbao, Plaza Ingeniero Torres Quevedo, 1, 48013, Bilbao, Spain

    Eloy Irigoyen, Fernando Artaza & Vicente Gómez-Garay

Authors
  1. Mikel Larrea
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  2. Eloy Irigoyen
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  3. Fernando Artaza
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  4. Vicente Gómez-Garay
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Corresponding author

Correspondence to Mikel Larrea .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. School of Industrial, Computer, University of Leon, León, Spain

    Hilde Pérez García

  3. Department of Mechanical Engineering, University of La Rioja, Logroño, Spain

    Francisco Javier Martínez de Pisón

  4. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  5. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  6. Applied Computational Intelligence, University of Burgos, Burgos, Spain

    Álvaro Herrero

  7. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    José Luis Calvo Rolle

  8. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  9. Faculty of Science, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Larrea, M., Irigoyen, E., Artaza, F., Gómez-Garay, V. (2023). Model-Based Design of the IMO-NMPC Strategy: Real-Time Implementation. In: García Bringas, P., et al. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). SOCO 2023. Lecture Notes in Networks and Systems, vol 749. Springer, Cham. https://doi.org/10.1007/978-3-031-42529-5_7

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