학술논문

Prediction of the Final Discharge of the UAV Battery Based on Fuzzy Logic Estimation of Information and Influencing Parameters
Document Type
Conference
Source
2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek) Advanced Technology (KhPIWeek), 2022 IEEE 3rd KhPI Week on. :1-6 Oct, 2022
Subject
Bioengineering
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Power, Energy and Industry Applications
Signal Processing and Analysis
Fuzzy logic
Surface discharges
Battery management systems
Linguistics
Discharges (electric)
Software
Batteries
UAV
battery
discharge control
information parameters
influencing parameters
fuzzy rules
Language
Abstract
The article, based on the analysis of existing battery management systems, developed a method for determining the critical battery discharge time based on fuzzy logic apparatus that uses data on informative and influential parameters, comparing the defined critical time with the planned and, if necessary, maintaining the required level of flight safety.