Fuzzy Control of a Water Pump for an Agricultural Plant Growth System

José Dias, João Paulo Coelho, José Alexandre Gonçalves

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 strategy. 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.

References

  1. Armstrong, F. and Blundell, K. (2007). Energy - beyond oil. Oxford University Press.
  2. Dhamakale, D. and Patil, S. (2011). Fuzzy logic approach with microcontroller for climate controlling in green house. International Journal on Emerging Technologies, 2:17-19.
  3. Huiling, Z. and Xiangzhao, F. (2012). An experimental research on the application of ground source heat pump and floor-heating system in the greenhouse. Power and Energy Engineering Conference, pages 1-4.
  4. Jacobs, D. F., Landis, T. D., and Luna, T. (2009). Nursery manual for native plants. R. Dumroese et al.
  5. Kia, P. J., Far, A. T., Omid, M., Alimardani, R., and Naderloo, L. (2009). Intelligent control based fuzzy logic for automation of greenhouse irrigation system and evaluation in relation to conventional systems. World Applied Sciences Journal, 6(1):16-23.
  6. Mamdani, E. and Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy controller. nternational Journal of Man-Machine studies, 7:1-13.
  7. Sakti, I. (2014). Methodology of fuzzy logic with mamdani fuzzy models applied to the microcontroller. Information Technology, Computer and Electrical Engineering.
  8. Yang, Z., Pedersen, G., Larsen, L., and Thybo, H. (2007). Modeling and control of indoor climate using a heat pump based floor heating system. IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, page 29852990.
Download


Paper Citation


in Harvard Style

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 - Volume 1: FCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 156-161. DOI: 10.5220/0005598601560161


in Bibtex Style

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


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (ECTA 2015)
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