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Energy Management Strategy Based on Fuzzy Logic and State Machine for Spraying UAV Hybrid Power System

International Journal of Electrical and Electronics Engineering
© 2024 by SSRG - IJEEE Journal
Volume 11 Issue 1
Year of Publication : 2024
Authors : Lizbeth Leonor Paredes Aguilar, Renato Patricio Cruz Cruz, Ruth Jeaneth Sullca Mamani, Jean Marcos Justo Justo, Juan Carlos Zúñiga Torres
10.14445/23488379/IJEEE-V11I1P107
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How to Cite?

Lizbeth Leonor Paredes Aguilar, Renato Patricio Cruz Cruz, Ruth Jeaneth Sullca Mamani, Jean Marcos Justo Justo, Juan Carlos Zúñiga Torres, "Energy Management Strategy Based on Fuzzy Logic and State Machine for Spraying UAV Hybrid Power System," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 1, pp. 68-77, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I1P107

Abstract:

Hybrid power systems increase the autonomy of electric vehicles, including UAVs, for agricultural spraying tasks. However, their implementation requires incorporating an Energy Management Strategy (EMS) to distribute energy from various sources efficiently. This research addresses the design of an EMS for a hybrid UAV composed of a Fuel Cell and a battery. The power control aspects of each energy source are examined in detail, considering the power profile associated with the typical flight of a spraying UAV. A State Machine and Fuzzy Logic approach accomplishes power control management. The EMS is implemented at the simulation level using the MATLAB-Simulink® tool. The results consider a specific mission scenario where the takeoff requires more power, stabilizing the consumption in the cruise mode flight operated in the spraying activities. Finally, the simulation results indicate that the state machine facilitates transitions between power sources and, in convergence with fuzzy logic techniques, can adequately control the energy of the UAV and thereby increase the autonomy of operation.

Keywords:

Battery, Energy Management Strategy, Fuzzy Logic, Hybrid power system, Spraying UAV.

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