Sugʻorish ishlarida suv ta’minotini optimallashtirish uchun noqat’iy kontroller ishlab chiqish

Authors

Keywords: MATLAB/Simulink, fuzzy logic, water supply optimization, fuzzy controller, irrigation control, Mamdani algorithm, agriculture

Abstract

This paper proposes a fuzzy logic-based irrigation control system for optimizing water supply in water-scarce agricultural areas of Central Asia, including Uzbekistan. The proposed system integrates five key agrometeorological parameters, namely, air temperature, soil moisture, solar radiation, wind speed, and water evaporation, into irrigation control. The proposed approach is adaptive to the environment and provides optimal irrigation control, making it suitable for use under conditions of uncertainty and variability of climatic parameters.

References

1. FAO (2020). The State of Food and Agriculture 2020. FAO, Rome. DOI: 10.4060/cb1447en

2. Abdullaev I., Molden D. Spatial and temporal variability of water productivity in the Syr Darya Basin, Central Asia. // Water Resources Research, 40(8), 2004.

3. Pereira L.S., Oweis T., Zairi A. Irrigation management under water scarcity. // Agricultural Water Management, 57(3), 2002. – P. 175-206.

4. Gleick P.H. Global freshwater resources: soft-path solutions for the 21st century. // Science, 302(5650), 2003. – P. 1524-1528.

5. Zadeh L.A. Fuzzy sets. // Information and Control, 8(3), 1965. – P. 338-353.

6. Ross T.J. Fuzzy Logic with Engineering Applications (3rd ed.). – Wiley, Chichester, 2010

7. Mamdani E.H., Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. // International Journal of Man-Machine Studies, 7(1), 1975. – P. 1-13.