A Takagi-Sugeno Fuzzy Model for Greenhouse Climate

Authors

  • I. Haj Hamad Laboratory of Automatic Research, National Engineering School of Carthage, University of Carthage, Tunisia
  • A. Chouchaine Laboratory of Application for Energy Efficiency and Renewable Energies, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunisia
  • H. Bouzaouache Laboratory of Application for Energy Efficiency and Renewable Energies (LAPER), National Engineering School of Tunis, University of Tunis El Manar, Tunisia https://orcid.org/0000-0003-3505-5127
Volume: 11 | Issue: 4 | Pages: 7424-7429 | August 2021 | https://doi.org/10.48084/etasr.4291

Abstract

This paper investigates the identification and modeling of a greenhouse's climate using real climate data from a greenhouse installed in the LAPER laboratory in Tunisia. The objective of this paper is to propose a solution to the problem of nonlinear time-variant inputs and outputs of greenhouse internal climate. Combining fuzzy logic technique with Least Mean Squares (LMS), a robust greenhouse climate model for internal temperature prediction is proposed. The simulation results demonstrate the effectiveness of the identification approach and the power of the implemented Takagi-Sugeno Fuzzy model-based algorithm.

Keywords:

TS fuzzy modeling, climate greenhouse, fuzzy clustering, identification

Downloads

Download data is not yet available.

References

H. H. Imen and B. Hajer, "Gestion et Instrumentation d’une Serre Agricole: Realisation Experimentale," in 5me Confrence Internationale des Energies Renouvelables, Sousse, Tunisie, Dec. 2017, pp. 31–36.

J. B. Cunha, "Greenhouse Climate Models: An Overview," in EFITA Conference, Debrecen, Hungary, Jul. 2003, pp. 823–829.

I. H. Hamad, A. Chouchaine, and H. Bouzaouache, "Experimental validation of a dynamic analysis and fuzzy logic controller of greenhouse air temperature," International Journal of Computer Science and Network Security, vol. 21, no. 5, pp. 175–182, May 2021.

I. H. Hamad, A. Chouchaine, and H. Bouzaouache, "On Modeling Greenhouse Air-Temperature: an Experimental Validation," in 18th International Multi-Conference on Systems, Signals Devices, Monastir, Tunisia, Mar. 2021, pp. 353–358.

M. Jomaa, M. Abbes, F. Tadeo, and A. Mami, "Greenhouse Modeling, Validation and Climate Control based on Fuzzy Logic," Engineering, Technology & Applied Science Research, vol. 9, no. 4, pp. 4405–4410, Aug. 2019.

J. Yau, J. J. Wei, H. Wang, O. Eniola, and F. P. Ibitoye, "Modeling of the Internal Temperature for an Energy Saving Chinese Solar Greenhouse," Engineering, Technology & Applied Science Research, vol. 10, no. 5, pp. 6276–6281, Oct. 2020.

G. P. A. Bot, "Greenhouse climate : from physical processes to a dynamic model," Ph.D. dissertation, Wageningen, Netherlands, 1983.

J. G. Pieters and J. M. Deltour, "Performances of Greenhouses with the Presence of Condensation on Cladding Materials," Journal of Agricultural Engineering Research, vol. 68, no. 2, pp. 125–137, Oct. 1997.

L. Shuhai, M. Chengwei, Z. Junfang, and B. Shunshu, "Thermal model of multi-span greenhouses with multi-layer covers," Transactions of The Chinese Society of Agricultural Engineering, vol. 20, no. 3, pp. 217–220, 2004.

H. U. Frausto, J. G. Pieters, and J. M. Deltour, "Modelling Greenhouse Temperature by means of Auto Regressive Models," Biosystems Engineering, vol. 84, no. 2, pp. 147–157, Feb. 2003.

L. L. Qin, C. Shi, G. Wu, M. S. Xue, and Z. H. Hu, "Modeling of ventilation window air temperature system in greenhouse based on hybrid system," Journal of System Simulation, vol. 22, no. 4, pp. 833-836–2010.

A. Trabelsi, F. Lafont, M. Kamoun, and G. Enea, "Fuzzy identification of a greenhouse," Applied Soft Computing, vol. 7, no. 3, pp. 1092–1101, Jun. 2007.

E. Gorrostieta-Hurtado, A. Sotomayor-Olmedo, J. C. Pedraza-Ortega, M. A. Aceves-Fernandez, and U. G. Villasenor-Carillo, "Modeling Key Parameters for Greenhouse Using Fuzzy Clustering Techniques," in Ninth Mexican International Conference on Artificial Intelligence, Pachuca, Mexico, Nov. 2010, pp. 103–106.

P. Salgado and J. B. Cunha, "Greenhouse climate hierarchical fuzzy modelling," Control Engineering Practice, vol. 13, no. 5, pp. 613–628, May 2005.

D. Dubois and H. Prade, Fuzzy Sets and Systems: Theory and Applications. New York, NY, USA: Academic Press, 1980.

L. X. Wang, A course in fuzzy systems and control. Hoboken, NJ, New Jersey: Prentice-Hall, 1997.

E. M. Abdel-Rahman, O. Mutanga, J. Odindi, E. Adam, A. Odindo, and R. Ismail, "A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data," Computers and Electronics in Agriculture, vol. 106, pp. 11–19, Aug. 2014.

R. Babuska, Fuzzy Modeling for Control. Boston, MA, USA: Springer, 1998.

H. Bouzaouache, "Calculus of Variations and Nonlinear Optimization Based Algorithm for Optimal Control of Hybrid Systems with Controlled Switching," Complexity, vol. 2017, Aug. 2017, Art. no. e5308013.

T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-15, no. 1, pp. 116–132, Jan. 1985.

J. C. Bakker, G. P. A. Bot, H. Challa, and N. J. van de Braak, Greenhouse climate control: an integrated approach. Wageningen, Netherlands: Wageningen Academic Publishers, 1995.

A. Fink, M. Fischer, O. Nelles, and R. Isermann, "Supervision of nonlinear adaptive controllers based on fuzzy models," Control Engineering Practice, vol. 8, no. 10, pp. 1093–1105, Oct. 2000.

E. H. Mamdani, "Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis," IEEE Transactions on Computers, vol. C–26, no. 12, pp. 1182–1191, Dec. 1977.

F. Lafont and J.-F. Balmat, "Optimized fuzzy control of a greenhouse," Fuzzy Sets and Systems, vol. 128, no. 1, pp. 47–59, May 2002.

J. C. Bezdek, R. Ehrlich, and W. Full, "FCM: The fuzzy c-means clustering algorithm," Computers & Geosciences, vol. 10, no. 2, pp. 191–203, Jan. 1984.

R. L. Cannon, J. V. Dave, and J. C. Bezdek, "Efficient Implementation of the Fuzzy c-Means Clustering Algorithms," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 2, pp. 248–255, Mar. 1986.

J. C. Gomez, A. Jutan, and E. Baeyens, "Wiener model identification and predictive control of a pH neutralisation process," IEE Proceedings - Control Theory and Applications, vol. 151, no. 3, pp. 329–338, May 2004.

Downloads

How to Cite

[1]
I. Haj Hamad, A. Chouchaine, and H. Bouzaouache, “A Takagi-Sugeno Fuzzy Model for Greenhouse Climate”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 4, pp. 7424–7429, Aug. 2021.

Metrics

Abstract Views: 84
PDF Downloads: 53

Metrics Information
Bookmark and Share