A flight-testing campaign to examine inflight icing characteristics and its effects on the flight performance of an Unmanned-Aerial-Vehicle

Han, Nianhong; Siddique, Muhammad; Zhang, Zichen; Tian, Linchuan; Hu, Haiyang; Hu, Hui

doi:10.1016/j.coldregions.2023.103775

Cited by 6 publications

(3 citation statements)

References 41 publications

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“…In comparison to calm wind conditions, the UAV experienced a significant increase in power consumption by approximately 240% during icy weather, resulting in a higher demand on battery power. In 2023, Han et al [20] conducted a flight test to examine the characteristics of in-flight icing and its impact on fixed-wing UAV flight performance. During the flight, extensive ice structures were observed on almost all exposed surfaces of the UAV, such as the wings, body, stabilizers, pitot tubes, and propellers, with water backflow observed on the wing surface, as shown in Figure 2.…”

Section: Flight Testsmentioning

confidence: 99%

A Review of Icing Research and Development of Icing Mitigation Techniques for Fixed-Wing UAVs

Zhou,

Yi,

Liu

2023

Drones

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With the continuous expansion of Unmanned Aerial Vehicle (UAV) applications, the threat of icing on UAV flights has garnered increased attention. Understanding the icing principles and developing anti-icing technologies for unmanned aircraft is a crucial step in mitigating the icing threat. However, existing research indicates that changes in Reynolds numbers have a significant impact on the physics of ice accretion. Icing studies on aircraft operating at high Reynolds numbers cannot be directly applied to unmanned aircraft, and mature anti-icing/deicing techniques for manned aircraft cannot be directly utilized for UAVs. This paper firstly provides a comprehensive overview of research on icing for fixed-wing UAVs, including various methods to study unmanned aircraft icing and the identified characteristics of icing on unmanned aircraft. Secondly, this paper focuses on discussing UAV anti-icing/deicing techniques, including those currently applied and under development, and examines the advantages and disadvantages of these techniques. Finally, the paper presents some recommendations regarding UAV icing research and the development of anti-icing/deicing techniques.

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Section: Flight Testsmentioning

confidence: 99%

A Review of Icing Research and Development of Icing Mitigation Techniques for Fixed-Wing UAVs

Zhou,

Yi,

Liu

2023

Drones

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“…For example, American Eagle Flight 4184 crashed because of icing, resulting in 68 fatalities; and in 2004, China Eastern Airlines Flight MU5210 crashed due to wing icing (or frost), resulting in the loss of 55 lives. Data disclosed by FAA show that icing incidents led to 46 flight safety accidents between 2008 and 2016 [3]. The development of unmanned aerial vehicles (UAV) has indeed seen rapid growth in recent years, which is attributed to the increasing demand in the civil and military applications.…”

Section: Introductionmentioning

confidence: 99%

Perspective Chapter: Challenges in the Durability of Superhydrophobic Coatings Pertinent to Unmanned Aerial Vehicle (UAV) Icing Mitigation

Zhang,

Ou,

2024

Superhydrophobic Coating - Recent Advances in Theory and Applications

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Icing is a severe hazard to the flight safety of unmanned aerial vehicles (UAV) in cold climates. Great efforts have been put into developing a reliable and practical anti-/de-icing system for icing mitigation. Compared to the conventional thermal-based deicing systems, applying superhydrophobic coatings with excellent ice-repellent performance is a promising anti-icing technique with low weight and low energy input. However, the application of superhydrophobic coatings on UAV is hindered by the substandard durability. This chapter comprehensively reviews advances in durability tests of superhydrophobic coatings pertinent to UAV anti-/de-icing. This chapter specifically introduces the mechanism of degrading superhydrophobic coatings by droplet erosion, which is rarely discussed in previous studies but can cause severe damage to the surface topology by applying “water hammer pressure.” Consequently, recommendations are provided to facilitate a more systematic approach to conducting durability tests for superhydrophobic coatings.

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“…Nowadays, small-sized unmanned aerial vehicles (UAVs) are becoming popular solutions for expanding military and civilian applications. Application of UAVs emerged in scenarios like military and defense, 1,2 post-disaster assessment, 3 infrastructure inspection, 4 precision agriculture, 5 flight testing, 6 and so on. To navigate autonomously, UAVs in these applications depend highly on the Global Navigation Satellite System (GNSS), such as GPS and Beidou, to acquire their locations.…”

Section: Introductionmentioning

confidence: 99%

Visual localization with a monocular camera for unmanned aerial vehicle based on landmark detection and tracking using YOLOv5 and DeepSORT

Dong²,

Zhao

et al. 2023

International Journal of Advanced Robotic Systems

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Absolute visual localization is of significant importance for unmanned aerial vehicles when the satellite-based localization system is not available. With the rapid evolution in the field of deep learning, the real-time visual detection and tracking of landmarks by an unmanned aerial vehicle could be implemented onboard. This study demonstrates a landmark-based visual localization framework for unmanned aerial vehicles flying at low altitudes. YOLOv5 and DeepSORT are used for multi-object detection and tracking, respectively. The unmanned aerial vehicle localization is achieved according to the geometric similarity between the geotagged transmission towers and the annotated images captured by a monocular camera. The validation is accomplished both in the Rflysim-based simulation and the quadrotor-based real flight. The localization precision is about 10 m, and the location update frequency reaches 5 Hz with a commercially available entry-level edge artificial intelligence platform. The proposed visual localization strategy needs no satellite image as a reference map, which saves a significant amount of the GPU memory and makes possible the end-to-end implementation on small unmanned aerial vehicles.

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A flight-testing campaign to examine inflight icing characteristics and its effects on the flight performance of an Unmanned-Aerial-Vehicle

Cited by 6 publications

References 41 publications

A Review of Icing Research and Development of Icing Mitigation Techniques for Fixed-Wing UAVs

A Review of Icing Research and Development of Icing Mitigation Techniques for Fixed-Wing UAVs

Perspective Chapter: Challenges in the Durability of Superhydrophobic Coatings Pertinent to Unmanned Aerial Vehicle (UAV) Icing Mitigation

Visual localization with a monocular camera for unmanned aerial vehicle based on landmark detection and tracking using YOLOv5 and DeepSORT

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