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Authors: José Dias 1 ; João Paulo Coelho 2 and José Alexandre Gonçalves 2

Affiliations: 1 Instituto Politécnico de Bragança and Escola Superior de Tecnologia e Gestão, Portugal ; 2 Instituto Politécnico de Bragança, Escola Superior de Tecnologia e Gestão and INESC TEC Technology and Science, Portugal

Keyword(s): Renewable Energy, Fuzzy Controller, Agriculture.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer-Supported Education ; Domain Applications and Case Studies ; Fuzzy Control ; Fuzzy Systems ; Fuzzy Systems Design, Modeling and Control ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial, Financial and Medical Applications ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: At the present time there is a high pressure toward the improvement of all the production processes. Those improvements can be sensed in several directions in particular those that involve energy efficiency. The definition of tight energy efficiency improvement policies is transversal to several operational areas ranging from industry to public services. As can be expected, agricultural processes are not immune to this tendency. This statement takes more severe contours when dealing with indoor productions where it is required to artificially control the climate inside the building or a partial growing zone. Regarding the latter, this paper presents an innovative system that improves energy efficiency of a trees growing platform. This new system requires the control of both a water pump and a gas heating system based on information provided by an array of sensors. In order to do this, a multi-input, multi-output regulator was implemented by means of a Fuzzy logic control str ategy. Presented results show that it is possible to simultaneously keep track of the desired growing temperature set-point while maintaining actuators stress within an acceptable range. (More)

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Paper citation in several formats:
Dias, J.; Coelho, J. and Gonçalves, J. (2015). Fuzzy Control of a Water Pump for an Agricultural Plant Growth System. In Proceedings of the 7th International Joint Conference on Computational Intelligence (ECTA 2015) - FCTA; ISBN 978-989-758-157-1, SciTePress, pages 156-161. DOI: 10.5220/0005598601560161

@conference{fcta15,
author={José Dias. and João Paulo Coelho. and José Alexandre Gon\c{C}alves.},
title={Fuzzy Control of a Water Pump for an Agricultural Plant Growth System},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence (ECTA 2015) - FCTA},
year={2015},
pages={156-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005598601560161},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence (ECTA 2015) - FCTA
TI - Fuzzy Control of a Water Pump for an Agricultural Plant Growth System
SN - 978-989-758-157-1
AU - Dias, J.
AU - Coelho, J.
AU - Gonçalves, J.
PY - 2015
SP - 156
EP - 161
DO - 10.5220/0005598601560161
PB - SciTePress