Self-Powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs

Khoshnoud, Farbod; Esat, I.I.; Silva, Clarence W. de; Rhodes, Jason; Kiessling, Alina; Quadrelli, Marco B.

doi:10.1142/s2301385020500077

Cited by 12 publications

(6 citation statements)

References 23 publications

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“…Providing that RPAS could land safely with a dead battery, it is worth designing a built-in selfrecharging system so that it could maintain a GPS signal or even fly back home. For instance, a small solar panel [109], [110] on top of RPAS can help it recharge itself, possibly to the extent of preventing an accident.…”

Section: Future Challenges and Trendsmentioning

confidence: 99%

Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

Aibin¹,

Aldiab

Bhavsar³

et al. 2021

IEEE Access

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In this survey, we look at the overall idea of Remotely Piloted Aircraft Systems (RPAS) and autonomous control, as well as RPAS infrastructure, levels of autonomy, and current benefits and difficulties in the field when utilizing Artificial Intelligence. While current remotely piloted aircraft systems have a manual pilot operator to provide double-layer security and safety, studies show that having RPAS with a fully autonomous vehicle at its centre could significantly improve decision-making and overall mission precision, accuracy, safety, and efficiency.

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Section: Future Challenges and Trendsmentioning

confidence: 99%

Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

Aibin¹,

Aldiab

Bhavsar³

et al. 2021

IEEE Access

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“…As for the decoding, in addition to communication positions and UAV headings, the collection sequence is also needed, and all of them form a solution, as (5) shows. Take them together into (2) to obtain the data collection tour and complete the individual evaluation.…”

Section: Figure 4 Schematic Of the Encoding Schemementioning

confidence: 99%

“…The first high-tech means are based on the unmanned aerial vehicle (UAV) surveillance. It is easier for a fixed-wing UAV to get a large range of ground information because of its top-view and high mobility [4], [5]. It has been increasingly applied in monitoring missions, which can be regarded as curvature-constrained path planning problems.…”

Section: Introductionmentioning

confidence: 99%

Data Collection Task Planning of a Fixed-Wing Unmanned Aerial Vehicle in Forest Fire Monitoring

et al. 2021

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This article studies the data collection task planning for a fixed-wing unmanned aerial vehicle (UAV) in forest fire monitoring. Multiple wireless-based detection nodes (DNs) are distributed in highrisk areas of the forest to monitor the surrounding environment. The task of UAV is to circularly fly to them and collect the environmental data. Because of the kinematic constraints of UAV and the effective communication range between UAV and DN, this problem can be generally regarded as a Dubins traveling salesman problem with neighborhood (DTSPN). A bi-level hybridization-based metaheuristic algorithm (BLHMA) is proposed for solving this problem. At the first level, differential evolution (DE) optimizes the continuous-valued communication positions and UAV headings by the population-based search. For the asymmetric traveling salesman problem (ATSP) corresponding to the combination of the positions and headings generated by DE, a constructive heuristic based on self-organized multi-agent competition (SOMAC) is proposed to determine the discrete collection sequence. By competitive iterations in such a cooperative way in DE, a high-quality data collection tour can be generated. At the second level, a local search based on multistage approximate gradient is proposed to further refine the positions and headings, which accelerates the convergence of the BLHMA. Referring to a real-world scene of forest fire mornitoring, the simulation experiments are designed, and comparative results show that BLHMA can find significantly shorter data collection tours in most cases over three state-of-the-art algorithms. The proposed UAV data collection planning algorithm is conducive to the efficient execution of the forest fire monitoring data collection mission and the energy saving of UAV.

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“…Milano is a long-endurance [9] tactical unmanned aerial system used at medium altitudes, whose geometry produces a very small radar signature, which reduces the possibility of being detected during missions [10]. Moreover, the Milano UAV, made mostly in carbon-fiber composite, has a wingspan of 12.5 m, a total length of 8.5 m and a height of 2.3 m. The aircraft has an operational ceiling of 7500 m above sea level and an endurance of 20 h of flight time (see Table 1).…”

Section: Introductionmentioning

confidence: 99%

Contributions to Image Transmission in Icing Conditions on Unmanned Aerial Vehicles

Rodríguez Marco,

Sánchez Rubio,

Martínez Herráiz

et al. 2023

Drones

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In terms of manned aircraft, pilots usually detect icing conditions by visual cues or by means of ice detector systems. If one of these cues is seen by the crew or systems detect icing conditions, they have to apply the evasive procedure as defined within the aircraft flight manual (AFM). However, as regards unmanned aircraft, there are not pilots on board and, consequently, nobody can act immediately when icing conditions occur. This article aims to propose new techniques of sending information to ground which make possible to know the aircraft performance correctly in icing conditions. For this goal, three contributions have been developed for the unmanned aircraft Milano. Since icing conditions are characterized quantitatively by the droplet size, the liquid water content, and the total air temperature, when these parameters are between certain limits ice formation on aircraft may occur. As a result of these contributions, in that moment, high-quality images of the wing leading edge, tail leading edge and meteorological probes will be captured and sent to ground making possible that remote pilots or artificial intelligent (AI) systems can follow the appropriate procedures, avoid encounters with severe icing conditions and perform real-time decision making. What is more, as information security is becoming an inseparable part of data communication, it is proposed how to embed relevant information within an image. Among the improvements included are image compression techniques and steganography methods.

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Self-Powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs

Cited by 12 publications

References 23 publications

Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

Data Collection Task Planning of a Fixed-Wing Unmanned Aerial Vehicle in Forest Fire Monitoring

Contributions to Image Transmission in Icing Conditions on Unmanned Aerial Vehicles

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