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

Aguilar L.L.P.; Cruz R.P.C.; Mamani R.J.S.; Justo J.M.J.; Torres J.C.Z. · SSRG International Journal of Electrical and Electronics Engineering (2024) · DOI: 10.14445/23488379/ijeee-v11i1p107

Resumen

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.

Instituciones: Universidad Nacional de San Agustín de Arequipa; Universidad Tecnológica del Perú