Unmanned aerial vehicles (UAVs) will be used in many commercial applications nowadays. On certain occasions like sports coverage, distance delivery’s that the UAVs needs covers a huge distance in such instance it having certain issues related to wind, power and connectivity. And for small sized or short range entertainment UAVs, mostly been used only about 5 to 15 minutes as aflight time thus there is no issues with energy consumption and maintenance but for long mission times which may require relativelypower-saving way,therefore it is important to make UAVs in an efficient and power-saving wayto complete the mission.
The estimation of Energy Consumption in Unmanned Aerial Vehicles with its self-weight was defined through the various implementation calculations beyond its various service environments.The major factor that affects energy consumption is extreme windbecause it changes the direction and it also may affects the flying status of UAV either positively or negatively. Air densityinfluences the proper lifting capacity of aircraft with variant changes of temperature. Appropriate equations and testing techniques have been used to estimate the power consumption of the essential parts of the UAV. Here to reduce the energy consumption in a hard environment, we implying a proper routing system to withstand extreme winds. And by the self-load estimation calculation that the Energy Consumption in Unmanned Aerial Vehicles were processed based on temperature, air density, and the battery system
ALGORITHM AND ITS FUNCTION: