IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2018i1p3-d191990.html
   My bibliography  Save this article

Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field

Author

Listed:
  • Eduardo F. Camacho

    (Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n., 41092 Sevilla, Spain)

  • Antonio J. Gallego

    (Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n., 41092 Sevilla, Spain)

  • Adolfo J. Sanchez

    (Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n., 41092 Sevilla, Spain)

  • Manuel Berenguel

    (Centro Mixto CIESOL, ceiA3, Departamento de Informática, Universidad de Almería, Ctra. Sacramento s/n, 04120 Almería, Spain)

Abstract

Model predictive control has been demonstrated to be one of the most efficient control techniques for solar power systems. An incremental offset-free state-space Model Predictive Controller (MPC) is developed for the Fresnel collector field located at the solar cooling plant installed on the roof of the Engineering School of Sevilla. A robust Luenberger observer is used for estimating the states of the plant which cannot be measured. The proposed strategy is tested on a nonlinear distributed parameter model of the Fresnel collector field. Its performance is compared to that obtained with a gain-scheduling generalized predictive controller. A real test carried out at the real plant is presented, showing that the proposed strategy achieves a very good performance.

Suggested Citation

  • Eduardo F. Camacho & Antonio J. Gallego & Adolfo J. Sanchez & Manuel Berenguel, 2018. "Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field," Energies, MDPI, vol. 12(1), pages 1-23, December.
    • Handle: RePEc:gam:jeners:v:12:y:2018:i:1:p:3-:d:191990
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/1/3/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/1/3/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eduardo F. Camacho & Antonio J. Gallego & Juan M. Escaño & Adolfo J. Sánchez, 2019. "Hybrid Nonlinear MPC of a Solar Cooling Plant," Energies, MDPI, vol. 12(14), pages 1-22, July.
    2. Gholaminejad, Tahereh & Khaki-Sedigh, Ali, 2022. "Stable deep Koopman model predictive control for solar parabolic-trough collector field," Renewable Energy, Elsevier, vol. 198(C), pages 492-504.
    3. Song, Yuhui & Wang, Jiaxing & Zhang, Junli & Li, Yiguo, 2024. "Temperature homogenization control of parabolic trough solar collector field based on hydraulic calculation and extended Kalman filter," Renewable Energy, Elsevier, vol. 226(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2018:i:1:p:3-:d:191990. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.