Improving Efficiency of Greenhouse Heating Systems using Model Predictive Control
| Authors: | Ramírez-Arias Armando, Universidad Autónoma de Chapingo, Mexico
Rodríguez Francisco, Universidad de Almería, Spain
Guzmán José Luis, Universidad de Almería, Spain
Arahal Manuel R., Universidad de Sevilla, Spain
Berenguel Manuel, Universidad de Almería, Spain
Carlos López Juan, Cajamar-Estación Experimental Las Palmerillas, Spain |
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| Topic: | 8.1 Control in Agriculture |
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| Session: | Control in Agricultural and Horticultural Environments |
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| Keywords: | Temperature control, Agriculture, Generalized predictive control, Cascade control, feedforward control |
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Abstract
This article presents a comparison of commercial and model based predictive control strategies aimed at optimizing efficiency of classical heating systems used in greenhouse temperature control. Two kind of heating systems are considered: aerial pipes with hot water and air-fan heaters. By using simple linearized models of the system around the predefined setpoints and a generalized predictive control strategy, the performance is improved without requiring modifications in the heating systems. The main strength of this paper lies in the fact that the MPC algorithm has been tested in a greenhouse.
