Impact of atmospheric icing on UAV aerodynamic performance

Hann, Richard; Wenz, Andreas; Gryte, Kristoffer; Johansen, Tor Arne

doi:10.1109/red-uas.2017.8101645

Cited by 28 publications

(15 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However there are few research works including investigations into the UAV performance in those conditions, which are essential to ensure safe operations [95]. At low temperature, the main factor affecting UAV performance is ice accumulation on propellers [95,96]. However, the UAV performance is also dependent on the Reynolds number derived from air temperature and pressure conditions [95].…”

Section: Ground Testmentioning

confidence: 99%

Sensors and Measurements for UAV Safety: An Overview

Balestrieri

Daponte

Vito

et al. 2021

Sensors

View full text Add to dashboard Cite

Unmanned aerial vehicles’ (UAVs) safety has gained great research interest due to the increase in the number of UAVs in circulation and their applications, which has inevitably also led to an increase in the number of accidents in which these vehicles are involved. The paper presents a classification of UAV safety solutions that can be found in the scientific literature, putting in evidence the fundamental and critical role of sensors and measurements in the field. Proposals from research on each proposed class concerning flight test procedures, in-flight solutions including soft propeller use, fault and damage detection, collision avoidance and safe landing, as well as ground solution including testing and injury and damage quantification measurements are discussed.

show abstract

Section: Ground Testmentioning

confidence: 99%

Sensors and Measurements for UAV Safety: An Overview

Balestrieri

Daponte

Vito

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The availability of wind velocity and aerodynamic coefficient estimates during a flight is desirable as this provides a basis for a variety of different use cases. One would be the possibility to monitor the aerodynamic coefficients for changes as they can appear in icing scenarios [17] allowing the precise use of de-icing methods [38]. Another area of application could be path planning were the availability of wind velocity estimates allow on the one side more efficient flight trajectories and on the other side less conservative flight trajectories when flying close to mountains or buildings.…”

Section: Introductionmentioning

confidence: 99%

Moving Horizon Estimation of Air Data Parameters for UAVs

Wenz

Johansen

2020

IEEE Trans. Aerosp. Electron. Syst.

Self Cite

View full text Add to dashboard Cite

Local wind velocities, angle of attack and lift coefficients of a fixed-wing unmanned aerial vehicle (UAV) are estimated by fusing kinematic, aerodynamic and stochastic wind models with data from an inertial measurement unit, a global navigation satellite system receiver and a pitot-static tube in a Moving Horizon Estimator. Experimental validation with two different UAVs and two sensor sets of different quality, show promising results for both wind velocity and angle of attack estimation.

show abstract

“…While there is a good understanding of icing for general aviation [2], few studies focus on UAV icing. The existing studies indicate that icing on a UAV degrades the aerodynamic performance by reducing lift, increasing drag and negatively affecting the stall behavior [3][4][5][6][7]. All these factors constrain the flight envelope and significantly increase the risk of losing the aircraft.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigations of an Icing Protection System for UAVs

Hann

Borup

Zolich

et al. 2019

SAE Technical Paper Series

Self Cite

View full text Add to dashboard Cite

UAV icing is a severe challenge that has only recently shifted into the focus of research. Today, there are no mature icing mitigation technologies for UAVs, except for the largest fixed-wing drones. We are working on the development of an electro-thermal icing protection technology called D•ICE for medium-sized fixed-wing UAVs. As part of the design process, an experimental test campaign at the Cranfield icing wind tunnel has been conducted. This paper describes the icing protection system and shares experimental results on its capability for icing detection and anti-icing. Icing detection is based on an algorithm evaluating temperature signals that are induced on the leading-edge of the wing. A baseline signal is generated during dry (icing cloud off) conditions and compared to a signal during wet (icing cloud on) conditions. Due to significant differences in the heat transfer regime, the system can differentiate between these two states. The experiments show that our system can reliably detect icing conditions based on this principle. Furthermore, the anti-icing capability of the system is proven for two icing cases. The minimal required heat flux to keep the surface ice-free was obtained by gradually reducing power supply to the heating zones until icing could be detected. These experimental results were compared to FENSAP-ICE simulations. The test campaign includes a successful fully-autonomous run, where the system automatically detected icing and initiated suitable anti-icing measures.

show abstract

Impact of atmospheric icing on UAV aerodynamic performance

Cited by 28 publications

References 5 publications

Sensors and Measurements for UAV Safety: An Overview

Sensors and Measurements for UAV Safety: An Overview

Moving Horizon Estimation of Air Data Parameters for UAVs

Experimental Investigations of an Icing Protection System for UAVs

Contact Info

Product

Resources

About