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Control of MIMO Systems with iMO-NMPC Strategy

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17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) (SOCO 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 531))

Abstract

This work presents the development of the intelligent Multi-objective non-linear MPC (iMO-NMPC) strategy applied to MIMO nonlinear systems. This strategy has been validated with nonlinear SISO and MISO systems, and its natural evolution is to be validated with MIMO systems. In this work, the MIMO system consists of two nonlinear SISO systems stacked and without any coupling. Since iMO-NMPC is a predictive controller, Neural Networks will be used to predict the dynamics of the MIMO system. A step by step validation procedure is presented, starting with an analysis of the quality of the predictions. Finally, parameter influence of the proposed iMO-NMPC on the control performance is studied.

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

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Authors and Affiliations

  1. University of the Basque Country (UPV/EHU), Leioa, Spain

    Asier Zabaljauregi, Aimar Alonso, Mikel Larrea, Eloy Irigoyen & Javier Sanchis

  2. Universitat Politècnica de València (UPV), Leioa, Spain

    Asier Zabaljauregi, Aimar Alonso, Mikel Larrea, Eloy Irigoyen & Javier Sanchis

Authors
  1. Asier Zabaljauregi
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  2. Aimar Alonso
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  3. Mikel Larrea
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  4. Eloy Irigoyen
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  5. Javier Sanchis
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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. University of León, León, Spain

    Hilde Pérez García

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

    Francisco Javier Martinez-de-Pison

  4. Inteligencia Artificial, University of Oviedo, A Coruña, La Coruña, Spain

    José Ramón Villar Flecha

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

    Alicia Troncoso Lora

  6. University of Oviedo, Oviedo, Spain

    Enrique A. de la Cal

  7. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  8. School of engineering, Pablo Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  9. DIGIP, University of Bergamo, Dalmine, Bergamo, Italy

    Giuseppe Psaila

  10. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  11. Department of Computing Science, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado Rodriguez

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Zabaljauregi, A., Alonso, A., Larrea, M., Irigoyen, E., Sanchis, J. (2023). Control of MIMO Systems with iMO-NMPC Strategy. In: García Bringas, P., et al. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). SOCO 2022. Lecture Notes in Networks and Systems, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-031-18050-7_46

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