Nonlinear Fuzzy Model Predictive Control of the TCP-100 Parabolic Trough Plant

DOI

10.2991/asum.k.210827.032How to use a DOI?

Keywords

Control, Model Predictive Controller, Fuzzy model, solar trough, Nonlinear MPC

Abstract

Advanced control strategies can play an important role in improving the efficiency of solar plants. In particular, linear model predictive control strategies have been applied successfully when controlling solar trough plants. However, if the control algorithm uses a linear model associated only with one operating point, when the plant is working far from the design conditions, the performance of the controller may deteriorate. In this paper, a fuzzy model-based nonlinear model predictive controller is applied to the new TCP-100 solar facility. The control strategy uses a fuzzy model of the plant for predicting the future evolution of the outlet temperature. This approach reduces the computational time of the nonlinear model predictive control strategy and allows to solve it much faster than using the full nonlinear model.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Juan Manuel Escaño
AU  - Antonio J. Gallego
AU  - Adolfo J. Sánchez
AU  - Luis J. Yebra
AU  - Eduardo F. Camacho
PY  - 2021
DA  - 2021/08/30
TI  - Nonlinear Fuzzy Model Predictive Control of the TCP-100 Parabolic Trough Plant
BT  - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)
PB  - Atlantis Press
SP  - 235
EP  - 241
SN  - 2589-6644
UR  - https://doi.org/10.2991/asum.k.210827.032
DO  - 10.2991/asum.k.210827.032
ID  - Escaño2021
ER  -