Optimizing Energy Efficiency in Agricultural Mulchers: A Review of Fuzzy Control System

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 149-152)

АУТОР(И) / AUTHOR(S): Lazar Stojanović , Miloš Simonović , Damjan Rangelov , Marko Perić , Natalija Miljković , Ivan Radojković

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DOI:  10.46793/SAUM24.149S

САЖЕТАК / ABSTRACT:

This paper explores the use of fuzzy controller to enhance energy efficiency and reduce the likelihood of overloading in agricultural tools, specifically focusing on mulchers. By integrating fuzzy logic techniques, the study aims to outline how optimizing the operational parameters of the mulcher could lead to smoother performance and minimized energy consumption. MATLAB is proposed as a suitable platform for future simulations and analyses to evaluate the effectiveness of the fuzzy control strategy. The AgAR robotic platform is highlighted as a potential power source for the agricultural tool, enabling real-time adjustments and monitoring. The review discusses the possible benefits and challenges of implementing fuzzy control systems in modern agriculture, contributing to ongoing efforts to improve the performance of agricultural machinery and promote more sustainable farming practices.

КЉУЧНЕ РЕЧИ / KEYWORDS:

fuzzy control, energy efficiency, agricultural tools, mulchers, robotic platforms

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

This research work was supported by the Innovation Fund of Republic of Serbia (IF 50471) and co-funded by Coming Computer Engineering and is part of a project AgAR at the University of Niš, Faculty of Mechanical Engineering.

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