Journal
IFAC PAPERSONLINE
Volume 51, Issue 2, Pages 475-480Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ifacol.2018.03.080
Keywords
Control; Model Predictive Controller; Gain Scheduling; solar trough
Categories
Funding
- Junta de Andalucia, the Spanish Ministerio de Educacion
- Spanish Ministerio de Economia, Industria y Competitividad
- Gestion Optima de Edificios de Energia Cero [P11-TEP-8129]
- Control Predictivo de Microrredes Re-configurables con Almacenamiento Hibrido y Movil [DPI2016-78338-R]
- National R+D+i Plan Project [DPI2014-56364-C2-2-R]
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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 to one operating point, when the plant is working far from the design conditions, the performance of the controller may deteriorate. In this paper, a gain scheduling model predictive control strategy is designed for the new PTC TCP-100 research facility at the PSA, currently under construction, is presented. Simulation results are provided using a mathematical model of the solar field, showing the good performance of the proposed strategy. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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