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Application of Predictive Feedforward Compensator to Microalgae Production in a Raceway Reactor: A Simulation Study

Author

Listed:
  • Andrzej Pawłowski

    (Departamento de Informática y Automática, ETSII, UNED, 28040 Madrid, Spain)

  • José Luis Guzmán

    (Departamento de Informática, University of Almería, CIESOL-ceiA3, 04120 Almería, Spain)

  • Manuel Berenguel

    (Departamento de Informática, University of Almería, CIESOL-ceiA3, 04120 Almería, Spain)

  • Francisco G. Acíen

    (Departamento de Ingeniería, University of Almería, CIESOL-ceiA3, 04120 Almería, Spain)

  • Sebastián Dormido

    (Departamento de Informática y Automática, ETSII, UNED, 28040 Madrid, Spain)

Abstract

In this work, the evaluation of a predictive feedforward compensator is provided in order to highlight its most important advantages and drawbacks. The analyzed technique has been applied to microalgae production process in a raceway photobioreactor. The evaluation of the analyzed disturbance rejection schemes were performed through simulation, considering a nonlinear process model, whereas all controllers were designed using linear model approximations resulting in a realistic evaluation scenario. The predictive feedforward disturbance compensator was coupled with two feedback control techniques, PID (Proportional-Integral-Derivative) and MPC (Model Predictive Control) that are widely used in industrial practice. Moreover, the classical feedforward approach has been used for the purpose of comparison. The performance of the tested technique is evaluated with different indexes that include control performance measurements as well as biomass production performance. The application of the analyzed compensator to microalgae production process allows us to improve the average photosynthesis rate about 6% simultaneously reducing the energy usage about 4%.

Suggested Citation

  • Andrzej Pawłowski & José Luis Guzmán & Manuel Berenguel & Francisco G. Acíen & Sebastián Dormido, 2018. "Application of Predictive Feedforward Compensator to Microalgae Production in a Raceway Reactor: A Simulation Study," Energies, MDPI, vol. 11(1), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:123-:d:125458
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    References listed on IDEAS

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    1. César Hernández-Hernández & Francisco Rodríguez & José Carlos Moreno & Paulo Renato Da Costa Mendes & Julio Elias Normey-Rico & José Luis Guzmán, 2017. "The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management," Energies, MDPI, vol. 10(7), pages 1-24, June.
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