INTELLIGENT CONTROL OF REDUCING ENERGY CONSUMPTION AND WATER LOSS IN SMART HOME SYSTEMS

Authors

Hakimjon Nasriddinovich Zaynidinov, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent city, Republic of Uzbekistan, DSc, professor, https://orcid.org/0000-0002-8098-5246
Damira Farxodovna Hodjaeva, Samarkand State University named after Sharof Rashidov, Samarkand city, Republic of Uzbekistan, PhD Student, https://orcid.org/0000-0002-5081-1149Follow
Dhananjay Singh, Hankuk University of Foreign Studies (Global Campus), Yongin city, Republic of Korea,Professor, https://orcid.org/0000-0003-3822-9348

Abstract

The article presents an innovative approach to developing an intelligent control system for managing temperature and water level in smart home systems. The proposed method integrates an adaptive PID controller with fuzzy logic algorithms, enabling dynamic adjustment of the PID controller coefficients in real time. The mathematical model of the system incorporates heat balance equations, differential heat transfer relations, and nonlinear models of fluid loss. The adaptive control algorithms developed within the study allow the system to effectively respond to changes in input data.

A comprehensive analysis of the membership functions is conducted, along with adaptive tuning of the PID coefficients based on fuzzy logic principles. This approach significantly enhances control accuracy and overall system efficiency. The study also identifies and addresses key limitations of classical PID controllers-such as inertia, overshoot, oscillations, and high sensitivity to external disturbances-by proposing robust algorithmic solutions.

First Page

31

Last Page

36

References

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Erratum

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Recommended Citation

Zaynidinov, Hakimjon Nasriddinovich; Hodjaeva, Damira Farxodovna; and Singh, Dhananjay (2025) "INTELLIGENT CONTROL OF REDUCING ENERGY CONSUMPTION AND WATER LOSS IN SMART HOME SYSTEMS," Technical science and innovation: Vol. 2025: Iss. 2, Article 6.
DOI: https://doi.org/10.59048/2181-1180.1702
Available at: https://btstu.researchcommons.org/journal/vol2025/iss2/6