Towards a Long Endurance MAV

Bronz, Murat; Moschetta, Jean‐Marc; Brisset, Pascal; Gorraz, Michel

doi:10.1260/175682909790291483

Cited by 29 publications

(22 citation statements)

References 5 publications

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“…To calculate the required power for propulsion, the efficiencies (η) of all elements including the propeller and electric motors are considered. Then, the required power is expressed as The drag force can be written as [7]…”

Section: Required Power Calculationmentioning

confidence: 99%

“…In addition to the propulsion system, the drag and weight of the craft strongly affect the flight time. The drag is related to geometrical and physical parameters such as the body shape, the wing shape, and the flight speed [7]. In most previous studies, 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].…”

Section: Introductionmentioning

confidence: 99%

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Practical Endurance Estimation for Minimizing Energy Consumption of Multirotor Unmanned Aerial Vehicles

2018

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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.

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Section: Required Power Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Practical Endurance Estimation for Minimizing Energy Consumption of Multirotor Unmanned Aerial Vehicles

2018

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“…However, current SUAVs have two main technology limitations, firstly, SUAVs have limited capacity to cope with the high levels of turbulence and complex flows created by wind interactions within the urban landscape [6][7][8]. Secondly, due to the power-weight constraints in battery technology, SUAVs have a limited range and endurance [9,10]. This research takes a novel approach to finding ways of overcoming these limitations by looking at the ways birds make use of wind flows in the urban environment to reduce their energetic cost of flight.…”

Section: Introductionmentioning

confidence: 99%

Bird-inspired Velocity Optimization for UAVs in the Urban Environment

Williamson

Spelt²,

Windsor³

2020

AIAA Scitech 2020 Forum

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“…They have application in many different fields 1 such as border control, search and rescue, surveillance, [2][3][4][5] medical supply or parcel delivery 6,7 and natural disaster response. 8,9 Limited on-board energy 10,11 and the effect of the atmospheric turbulence at low altitudes [12][13][14][15] are two challenges that have a major effect on the flight performance of SUAVs.…”

Section: Introductionmentioning

confidence: 99%

Unmanned aerial vehicle control costs mirror bird behaviour when soaring close to buildings

Guerra-Langan

Araujo-Estrada

Windsor

2020

International Journal of Micro Air Vehicles

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Small unmanned aerial vehicles (SUAVs) are suitable for many low-altitude operations in urban environments due to their manoeuvrability; however, their flight performance is limited by their on-board energy storage and their ability to cope with high levels of turbulence. Birds exploit the atmospheric boundary layer in urban environments, reducing their energetic flight costs by using orographic lift generated by buildings. This behaviour could be mimicked by fixed-wing SUAVs to overcome their energy limitations if flight control can be maintained in the increased turbulence present in these conditions. Here, the control effort required and energetic benefits for a SUAV flying parallel to buildings whilst using orographic lift was investigated. A flight dynamics and control model was developed for a powered SUAV and used to simulate flight control performance in different turbulent wind conditions. It was found that the control effort required decreased with increasing altitude and that the mean throttle required increased with greater radial distance to the buildings. However, the simulations showed that flying close to the buildings in strong wind speeds increased the risk of collision. Overall, the results suggested that a strategy of flying directly over the front corner of the buildings appears to minimise the control effort required for a given level of orographic lift, a strategy that mirrors the behaviour of gulls in high wind speeds.

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Towards a Long Endurance MAV

Cited by 29 publications

References 5 publications

Practical Endurance Estimation for Minimizing Energy Consumption of Multirotor Unmanned Aerial Vehicles

Practical Endurance Estimation for Minimizing Energy Consumption of Multirotor Unmanned Aerial Vehicles

Bird-inspired Velocity Optimization for UAVs in the Urban Environment

Unmanned aerial vehicle control costs mirror bird behaviour when soaring close to buildings

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