Abstract

The practically applicable endurance estimation method for multirotor unmanned aerial vehicles (UAVs) using a battery as a power source is proposed. The method considers both hovering and steady-level flights. The endurance, thrust, efficiency, and battery discharge are determined with generally available data from the manufacturer. The effects of the drag coefficient related to vehicle shape and payload weight are examined at various forward flight speeds. As the drag coefficient increases, the optimum speed at the minimum required power and the maximum endurance are reduced. However, the payload weight causes an opposite effect, and the optimal flying speed increases with an increase in the payload weight. For more practical applications for common users, the value of S × Cd is determined from a preliminary flight test. Given this value, the endurance is numerically estimated and validated with the measured flight time. The proposed method can successfully estimate the flight time with an average error of 2.3%. This method would be useful for designers who plan various missions and select UAVs.

Highlights

  • Drones are autonomous flying machines and range from large unmanned aerial vehicles (UAVs) flying thousands of kilometers to small vehicles flying in confined spaces [1]

  • The endurance is an important issue in commercial applications, multirotor UAVs can fly at various speeds and perform vertical take-off, landing, and hovering due to the advances in their control

  • The endurance depends on the power consumption of the propulsion system, and the flight time is limited due to the limited energy storage capacity

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Summary

Introduction

Drones are autonomous flying machines and range from large UAVs flying thousands of kilometers to small vehicles flying in confined spaces [1]. The endurance is an important issue in commercial applications, multirotor UAVs can fly at various speeds and perform vertical take-off, landing, and hovering due to the advances in their control. Endurance is typically estimated using the ratio of an available energy and power consumption based on the flight velocity, lift, and drag forces [8,9,10,11,12]. These works study aircrafts with fixed or one-rotary wings with quite different dynamics than UAVs based on multirotor platforms

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