Abstract
This paper shows the development of a heuristic predictive logic controller (HPLoC) applied to a solar air conditioning plant. The plant uses two energy sources, solar and gas, in order to warm up the water. The hot water feeds a single-effect absorption chiller. A hybrid controller using Model based Predictive Control (MPC) and heuristic logic conditions have been implemented in the real plant, the controller allows configuring the plant with the minimizing of the gas consumption.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zambrano, D., et al.: A solar cooling plant: a benchmark for hybrid systems control. In: 2nd IFAC Conference on Analysis and Design of Hybrid Systems (2006)
Camacho, E.F., Berenguel, M., Rubio, F.R.: Advanced Control of Solar Plants. Springer, London (1997)
Lemos, J.M., et al.: Industrial applications of predictive adaptive control based on multiple identifiers. In: 15th IFAC World Congress (2002)
Silva, R.N., Rato, L.M., Lemos, J.M.: Observer based non uniform sampling predictive controller for a solar plant. In: 15th IFAC World Congress (2002)
Saaty, R.W.: The analytic hierarchy process - what it is and how it is used. Mathematical Modelling 9(3-5), 161–176 (1987)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Zambrano, D., García-Gabín, W., Camacho, E.F. (2007). A Heuristic Predictive Logic Controller Applied to Hybrid Solar Air Conditioning Plant. In: Bemporad, A., Bicchi, A., Buttazzo, G. (eds) Hybrid Systems: Computation and Control. HSCC 2007. Lecture Notes in Computer Science, vol 4416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71493-4_84
Download citation
DOI: https://doi.org/10.1007/978-3-540-71493-4_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71492-7
Online ISBN: 978-3-540-71493-4
eBook Packages: Computer ScienceComputer Science (R0)