Relevant bibliographies by topics / Solar powered unmanned aerial vehicle (UAV)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Solar powered unmanned aerial vehicle (UAV)'

Author: Grafiati
Published: 11 December 2022
Last updated: 26 January 2023

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Journal articles on the topic "Solar powered unmanned aerial vehicle (UAV)"

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Rajendran, Parvathy, and Howard Smith. "The Development of a Small Solar Powered Electric Unmanned Aerial Vehicle Systems." Applied Mechanics and Materials 465-466 (December 2013): 345–51. http://dx.doi.org/10.4028/www.scientific.net/amm.465-466.345.

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Unmanned Aerial Vehicle (UAV) has an enormous role to both military and civilian missions. However, a short range endurance of current UAV system affects the life expediency, data monitoring, and output performance of a mission. This is due to having UAVs that are dependent on batteries. The weight of the battery and low temperature environment has undoubtedly been the main cause for the poor UAV performance. In spite of its prolific improvement in UAV system, the endurance permissible is between 45 minutes to 4 hours. Therefore, this situation makes battery no longer attractive to be widely used for UAV. Lately attention has been focused on the use of solar cell in UAV in replacement to battery as its power system. Nevertheless, current solar cells characteristic and efficiency is insufficient to sustain a long endurance flight. This is due to failure to identify an appropriate selection of material and parts in designing the UAVs solar augmented power module system. Therefore, comprehensive work on the solar power system and its integration is essential for an excellent UAV performance. Thus, a research work has been done to studies on the design of a solar and battery power system for an electric UAV. Subsequently, a small solar powered electric UAV has been developed. As a result, the UAVs specification, layout and systems description are presented extensively in this paper. This UAV has enabled an understanding how the solar augmented system has enhanced the endurance performance the electric UAV to almost 24 hours. Moreover, this UAV has 5 successfully flight up till date with useful data that predicted this UAV aerodynamic characteristic.
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Chu, Yauhei, Chunleung Ho, Yoonjo Lee, and Boyang Li. "Development of a Solar-Powered Unmanned Aerial Vehicle for Extended Flight Endurance." Drones 5, no. 2 (May 24, 2021): 44. http://dx.doi.org/10.3390/drones5020044.

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Having an exciting array of applications, the scope of unmanned aerial vehicle (UAV) application could be far wider one if its flight endurance can be prolonged. Solar-powered UAV, promising notable prolongation in flight endurance, is drawing increasing attention in the industries’ recent research and development. This work arose from a Bachelor’s degree capstone project at Hong Kong Polytechnic University. The project aims to modify a 2-metre wingspan remote-controlled (RC) UAV available in the consumer market to be powered by a combination of solar and battery-stored power. The major objective is to greatly increase the flight endurance of the UAV by the power generated from the solar panels. The power system is first designed by selecting the suitable system architecture and then by selecting suitable components related to solar power. The flight control system is configured to conduct flight tests and validate the power system performance. Under fair experimental conditions with desirable weather conditions, the solar power system on the aircraft results in 22.5% savings in the use of battery-stored capacity. The decrease rate of battery voltage during the stable level flight of the solar-powered UAV built is also much slower than the same configuration without a solar-power system.
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Rajendran, Parvathy, and Howard Smith. "Future Trend Analysis on the Design and Performance of Solar-Powered Electric Unmanned Aerial Vehicles." Advanced Materials Research 1125 (October 2015): 635–40. http://dx.doi.org/10.4028/www.scientific.net/amr.1125.635.

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This paper analyzes the future trends of both solar and non-solar-powered electric types of unmanned aerial vehicle (UAV). The impacts of solar cell efficiency and battery energy density on the potential of reducing the maximum take-off and payload enhancement for both types of UAV are studied. The battery energy density and solar efficiency’s extrapolated forecast data do not show any sign of technology maturation. Component weight, ratio of solar module to wing area, and solar module power are also analyzed to further emphasize the need to improve the solar and battery technology for the development of solar-powered electric UAVs. Results show that a solar-powered electric UAV should be lighter, smaller, and be able to carry more payload than a non-solar-powered electric UAV in the near future depending on the payload and endurance requirement. Thus, a solar-powered aircraft can be the future of aviation.
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RAJENDRAN, Parvathy, and Howard SMITH. "Experimental Analysis of Small Solar Unmanned Aerial Vehicle to Predict Aerodynamic Performance." INCAS BULLETIN 12, no. 4 (December 4, 2020): 173–82. http://dx.doi.org/10.13111/2066-8201.2020.12.4.16.

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Various studies have been done in recent years on unmanned solar-powered aircraft for non-stop flight at a specified location or area. However, if a solar-powered unmanned aerial vehicle (UAV) can achieve a non-stop flight around the world, it may lead to the possibility of a pseudolite (i.e., pseudo-satellite) operation. These solar UAVs capable of operating as a satellite enable sustainable aviation that provides cheaper communication accessibility. Recently, we have developed a mathematical model for solar UAVs that was followed by the fabrication of a solar UAV model. Both the mathematical design model and the prototype model have been published. Thus, this work aims to determine the actual flight performance characteristics of the fabricated solar UAV. In this work, the bench and flight tests of the prototype solar and non-solar UAV model were compared in terms of aerodynamic characteristics and performance. These characteristics are determined using the flight test data and then compared with simulation data using a mathematical design model published earlier. Both accelerated and un-accelerated methods have been applied to predict the polar drag curve, and a distinct band of data obtained for both UAV prototypes. The predicted zero-lift drag coefficients were similar to the theoretical prediction in these UAVs.
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Khoshnoud, Farbod, Ibrahim I. Esat, Clarence W. de Silva, Jason D. Rhodes, Alina A. Kiessling, and Marco B. Quadrelli. "Self-Powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs." Unmanned Systems 08, no. 02 (April 2020): 95–117. http://dx.doi.org/10.1142/s2301385020500077.

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A self-powered scheme is explored for achieving long-endurance operation, with the use of solar power and buoyancy lift. The end goal is the capability of “infinite” endurance while complying with the Unmanned Aerial Vehicle (UAV) dynamics and the required control performance, maneuvering, and duty cycles. Nondimensional power terms related to the UAV power demand and solar energy input are determined in a framework of Optimal Uncertainty Quantification (OUQ). OUQ takes uncertainties and incomplete information in the dynamics and control, available solar energy, and the electric power demand of a solar UAV model into account, and provides an optimal solution for achieving a self-sustained system in terms of energy. Self-powered trajectory tracking, speed and control are discussed. Aerial vehicles of this class can overcome the flight time limitations of current electric UAVs, thereby meeting the needs of many applications. This paper serves as a reference in providing a generalized approach in design of self-powered solar electric multi-rotor UAVs.
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Rajendran, Parvathy, and Howard Smith. "Development of Design Methodology for a Small Solar-Powered Unmanned Aerial Vehicle." International Journal of Aerospace Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/2820717.

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Existing mathematical design models for small solar-powered electric unmanned aerial vehicles (UAVs) only focus on mass, performance, and aerodynamic analyses. Presently, UAV designs have low endurance. The current study aims to improve the shortcomings of existing UAV design models. Three new design aspects (i.e., electric propulsion, sensitivity, and trend analysis), three improved design properties (i.e., mass, aerodynamics, and mission profile), and a design feature (i.e., solar irradiance) are incorporated to enhance the existing small solar UAV design model. A design validation experiment established that the use of the proposed mathematical design model may at least improve power consumption-to-take-off mass ratio by 25% than that of previously designed UAVs. UAVs powered by solar (solar and battery) and nonsolar (battery-only) energy were also compared, showing that nonsolar UAVs can generally carry more payloads at a particular time and place than solar UAVs with sufficient endurance requirement. The investigation also identified that the payload results in the highest effect on the maximum take-off weight, followed by the battery, structure, and propulsion weight with the three new design aspects (i.e., electric propulsion, sensitivity, and trend analysis) for sizing consideration to optimize UAV designs.
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Ma, Zhenyu, Xiaoping Zhu, and Zhou Zhou. "Taxiing Characteristic Analysis and Control for Full-Wing Solar-Powered Unmanned Aerial Vehicle." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, no. 1 (February 2019): 7–12. http://dx.doi.org/10.1051/jnwpu/20193710007.

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To solve the taxiing control problem of the full-wing solar-powered unmanned aerial vehicle (UAV) without front wheel steering servo and rudder, a control approach using differential propeller thrust to control the taxiing is proposed in this paper. Firstly, the taxiing mathematical models of two kinds of full-wing solar-powered UAVs with the front wheels turning freely or fixed are established. Meanwhile, the taxiing characteristics of full-wing solar-powered UAV in different taxiing speeds are analyzed. Secondly, based on the linear active disturbance rejection control (LADRC) theory, a yaw angle controller is designed by using differential propeller thrust as the control output. Finally, a straight line trajectory tracking scheme which is suitable for take-off and landing taxiing is designed on the base of improved vector field theory. Simulation results show that the designed controller has a good control effect on full-wing solar-powered UAV's take-off and landing taxiing periods, and better robustness.
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Zhao, Xin, Zhou Zhou, Xiaoping Zhu, and An Guo. "Design of a Hand-Launched Solar-Powered Unmanned Aerial Vehicle (UAV) System for Plateau." Applied Sciences 10, no. 4 (February 14, 2020): 1300. http://dx.doi.org/10.3390/app10041300.

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This paper describes our work on a small, hand-launched, solar-powered unmanned aerial vehicle (UAV) suitable for low temperatures and high altitudes, which has the perpetual flight potential for conservation missions for rare animals in the plateau area in winter. Firstly, the conceptual design method of a small, solar-powered UAV based on energy balance is proposed, which is suitable for flight in high-altitude and low-temperature area. The solar irradiance model, which can reflect the geographical location and time, was used. Based on the low-temperature discharge test of the battery, a battery weight model considering the influence of low temperature on the battery performance was proposed. Secondly, this paper introduces the detailed design of solar UAV for plateau area, including layout design, structure design, load, and avionics. To increase the proportion of solar cells covered, the ailerons were removed and a rudder was used to control both roll and yaw. Then, the dynamics model of an aileron-free layout UAV was developed, and the differences in maneuverability and stability of aileron-free UAV in plateau and plain areas were analyzed. The control law and trajectory tracking control law were designed for the aileron-free UAV. Finally, the flight test was conducted in Qiangtang, Tibet, at an altitude of 4500 m, China’s first solar-powered UAV to take off and land above 4500 m on the plateau in winter (−30 °C). The test data showed the success of the scheme, validated the conceptual design method and the success of the control system for aileron-free UAV, and analyzed the feasibility of perpetual flight carrying different loads according to the flight energy consumption data.
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Rajendran, Parvathy, and Howard Smith. "Review of Solar and Battery Power System Development for Solar-Powered Electric Unmanned Aerial Vehicles." Advanced Materials Research 1125 (October 2015): 641–47. http://dx.doi.org/10.4028/www.scientific.net/amr.1125.641.

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Electric unmanned aerial vehicle (UAV) systems powered solely by battery cannot achieve long endurance. Despite recent improvements in battery technology, UAVs barely last for 4 hours, thereby decreasing the attractiveness of battery-powered UAVs. Progress has been made in developing hybrid-powered solar and battery systems for UAVs. However, the small number of solar UAVs developed indicates the research gap, particularly in the aspect of power system and integration. Accordingly, this paper provides a detailed review of solar cell and battery development applicable to small UAVs. This review includes the technologies of miniature electric motors, batteries, fuel cells, and solar cells. A comprehensive battery and solar cell technology trend is then discussed. This wok elucidates the effect of solar and battery technology progress on solar UAV development. The combination of electric motor, battery, and solar cells offers an excellent solution to the requirements of various long-endurance applications.
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Rajendran, Parvathy, Nurul Musfirah Mazlan, and Howard Smith. "Single Cell Li-Ion Polymer Battery Charge and Discharge Characterizations for Application on Solar-Powered Unmanned Aerial Vehicle." Key Engineering Materials 728 (January 2017): 428–33. http://dx.doi.org/10.4028/www.scientific.net/kem.728.428.

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Solar-powered UAV is an alternative way to achieve high endurance and long range UAV flight. However, solar irradiance is not always available during the flight. Thus, secondary power source which is electrical batteries will improve the performance of solar-powered UAV when solar irradiance is not available. Therefore, bench test for LiPo battery is conducted in this paper for the design of solar-powered UAV power system. The impact of operating temperature at various charging and discharging rate on the duration to full charge and discharge and capacity level of a single LiPo battery were assessed. The solar module installed in solar-powered UAV developed by Aircraft Design Group, Cranfield University has to be designed to charge the battery pack at a nominal or maximum rate of 0.129 C and 0.155 C correspondingly. The solar module requires roughly 5.73 hours on nominal charging rate on 30 °C operating temperature to fully charge capacity level instead of 5.54 hours theoretical predicted. The battery pack will then discharge at cruise flight roughly about 0.071 C to a maximum of 1.685 C if required. If the battery pack is not charged, during cruise flight the battery capacity will deplete completely at about 6.51 hours for the same operating temperature, in contrast to the 6.48 hours based on the theoretical prediction. In addition, the usage of LiPo batteries for operation at high altitudes and/or extreme temperatures without an additional heating or cooling system for these battery packs is not favorable. Thus, it is best to charge at low charging rate and high operating temperature to store and utilize the most capacity from this battery.
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Dissertations / Theses on the topic "Solar powered unmanned aerial vehicle (UAV)"

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Tegeder, Troy Dixon. "Development of an Efficient Solar Powered Unmanned Aerial Vehicle with an Onboard Solar Tracker." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/856.

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Methods were developed for the design of a solar powered UAV capable of tracking the sun to achieve maximum solar energy capture. A single-axis solar tracking system was designed and constructed. This system autonomously rotated an onboard solar panel to find the angle of maximum solar irradiance while the UAV was airborne. A microcontroller was programmed and implemented to control the solar tracking system. A solar panel and an efficient airframe capable of housing the solar tracking system was designed and constructed. Each of these subsystems was tested individually with either ground or flight tests. Ultimately, the final assembled system was tested. These tests were used to determine where and when a UAV with an onboard solar tracker would be advantageous over a conventional solar powered UAV with PV cells statically fixed to its wings. The final UAV had a wingspan of 3.2 meters, a length of 2.6 meters, and weighed 4.1 kilograms. Its solar panel provided a maximum power output of 37.7 watts. The predicted system performance, airframe drag, and system power requirements were validated with a battery powered flight test. The UAV's analytical model predicted the drag to be 41% lower than the actual drag found from flight testing. Full system functionality was verified with a solar powered flight test. The results and analysis of the system tests are presented in this thesis. The net energy increase from the solar tracking UAV over a conventional solar powered UAV for the duration of a day is dependent on season and geographical location. The solar tracking UAV that was developed was found to have a maximum net energy gain of 34.5% over a conventional solar powered version of the UAV. The minimum net energy gain of the solar tracking UAV was found to be 0.8%.
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Malaver, Rojas Jairo Alexander. "Development of gas sensing technology for ground and airborne applications powered by solar energy : methodology and experimental results." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/74644/1/74644.pdf.

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Monitoring gases for environmental, industrial and agricultural fields is a demanding task that requires long periods of observation, large quantity of sensors, data management, high temporal and spatial resolution, long term stability, recalibration procedures, computational resources, and energy availability. Wireless Sensor Networks (WSNs) and Unmanned Aerial Vehicles (UAVs) are currently representing the best alternative to monitor large, remote, and difficult access areas, as these technologies have the possibility of carrying specialised gas sensing systems, and offer the possibility of geo-located and time stamp samples. However, these technologies are not fully functional for scientific and commercial applications as their development and availability is limited by a number of factors: the cost of sensors required to cover large areas, their stability over long periods, their power consumption, and the weight of the system to be used on small UAVs. Energy availability is a serious challenge when WSN are deployed in remote areas with difficult access to the grid, while small UAVs are limited by the energy in their reservoir tank or batteries. Another important challenge is the management of data produced by the sensor nodes, requiring large amount of resources to be stored, analysed and displayed after long periods of operation. In response to these challenges, this research proposes the following solutions aiming to improve the availability and development of these technologies for gas sensing monitoring: first, the integration of WSNs and UAVs for environmental gas sensing in order to monitor large volumes at ground and aerial levels with a minimum of sensor nodes for an effective 3D monitoring; second, the use of solar energy as a main power source to allow continuous monitoring; and lastly, the creation of a data management platform to store, analyse and share the information with operators and external users. The principal outcomes of this research are the creation of a gas sensing system suitable for monitoring any kind of gas, which has been installed and tested on CH4 and CO2 in a sensor network (WSN) and on a UAV. The use of the same gas sensing system in a WSN and a UAV reduces significantly the complexity and cost of the application as it allows: a) the standardisation of the signal acquisition and data processing, thereby reducing the required computational resources; b) the standardisation of calibration and operational procedures, reducing systematic errors and complexity; c) the reduction of the weight and energy consumption, leading to an improved power management and weight balance in the case of UAVs; d) the simplification of the sensor node architecture, which is easily replicated in all the nodes. I evaluated two different sensor modules by laboratory, bench, and field tests: a non-dispersive infrared module (NDIR) and a metal-oxide resistive nano-sensor module (MOX nano-sensor). The tests revealed advantages and disadvantages of the two modules when used for static nodes at the ground level and mobile nodes on-board a UAV. Commercial NDIR modules for CO2 have been successfully tested and evaluated in the WSN and on board of the UAV. Their advantage is the precision and stability, but their application is limited to a few gases. The advantages of the MOX nano-sensors are the small size, low weight, low power consumption and their sensitivity to a broad range of gases. However, selectivity is still a concern that needs to be addressed with further studies. An electronic board to interface sensors in a large range of resistivity was successfully designed, created and adapted to operate on ground nodes and on-board UAV. The WSN and UAV created were powered with solar energy in order to facilitate outdoor deployment, data collection and continuous monitoring over large and remote volumes. The gas sensing, solar power, transmission and data management systems of the WSN and UAV were fully evaluated by laboratory, bench and field testing. The methodology created to design, developed, integrate and test these systems was extensively described and experimentally validated. The sampling and transmission capabilities of the WSN and UAV were successfully tested in an emulated mission involving the detection and measurement of CO2 concentrations in a field coming from a contaminant source; the data collected during the mission was transmitted in real time to a central node for data analysis and 3D mapping of the target gas. The major outcome of this research is the accomplishment of the first flight mission, never reported before in the literature, of a solar powered UAV equipped with a CO2 sensing system in conjunction with a network of ground sensor nodes for an effective 3D monitoring of the target gas. A data management platform was created using an external internet server, which manages, stores, and shares the data collected in two web pages, showing statistics and static graph images for internal and external users as requested. The system was bench tested with real data produced by the sensor nodes and the architecture of the platform was widely described and illustrated in order to provide guidance and support on how to replicate the system. In conclusion, the overall results of the project provide guidance on how to create a gas sensing system integrating WSNs and UAVs, how to power the system with solar energy and manage the data produced by the sensor nodes. This system can be used in a wide range of outdoor applications, especially in agriculture, bushfires, mining studies, zoology, and botanical studies opening the way to an ubiquitous low cost environmental monitoring, which may help to decrease our carbon footprint and to improve the health of the planet.
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Åkesson, Elsa, Maximilian Kempe, Oskar Nordlander, and Rosa Sandén. "Unmanned Aerial Vehicle Powered by Hybrid Propulsion System." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277115.

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I samband med den globala uppvärmningen ökar efterfrågan för rena och förnybara bränslen alltmer i dagens samhälle. Eftersom flygindustrin idag är ansvarig för samma mängd växthusgaser som all motortrafik i Sverige, skulle ett byte till en avgasfri energikälla för flygfarkoster vara ett stort framsteg. Därför har projektet genom modellering framtagit ett hybridsystem av ett batteri och en bränslecell och undersökt hur kombinationen av olika storlekar på dem presterar i en driftcykel. Då batterier har hög specifik effekt men är tunga, kompletteras de med fördel av bränsleceller, som är lättviktiga och bidrar med uthållig strömförsörjning. På så sätt blir hybriden optimal för flygfarkoster. Kandidatarbetet är en del av projektet Green Raven, ett tvärvetenskapligt samarbete mellan instutitionerna Tillämpad Elektrokemi, Mekatronik och Teknisk Mekanik på Kungliga Tekniska Högskolan. Driftcykelmodelleringen gjordes i Simulink, och flera antaganden gjordes beträffande effektprofilen, samt bränslecellens mätvärden och effekt. Tre olika energihushållningsscheman skapades, vilka bestämde bränslecellseffekten beroende på vätgasnivån och batteriets laddningstillstånd. Skillnaden på systemen var vilka intervall av laddningstillstånd hos batteriet som genererade olika effekt hos bränslecellen.  Det bästa alternativet visade sig vara 0/100-systemet, eftersom det var det enda som inte orsakede någon degradering av bränslecellens kapacitet.
In today’s society, with several environmental challenges such as global warming, the demand for cleanand renewable fuels is ever increasing. Since the aviation industry in Sweden is responsible for the sameamount of greenhouse gas emissions as the motor traffic, a change to a non-polluting energy source forflying vehicles would be considerable progress. Therefore, this project has designed a hybrid system of abattery and a fuel cell and investigated how different combinations of battery and fuel cell sizes perform ina drive cycle, through computer modelling. As batteries possess a high specific power but are heavy, thefuel cells with high specific energy complement them with a sustained and lightweight power supply,which makes the hybrid perfect for aviation. The bachelor thesis is a part of Project Green Raven, aninterdisciplinary collaboration with the institutions of Applied Electrochemistry, Mechatronics andEngineering Mechanics at KTH Royal Institute of Techology. The drive cycle simulations were done inSimulink, and several assumptions regarding the power profile, fuel cell measurements and power weremade. Three different energy management strategies were set up, determining the fuel cell powerdepending on hydrogen availability and state of charge of the battery. The strategies were called 35/65,20/80 and 0/100, and the difference between them was at which state of charge intervals the fuel cellchanged its power output. The best strategy proved to be 0/100, since it was the only option which causedno degradation of the fuel cell whatsoever.
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Maaroufi, Helmi, and Zhen Li. "Design of a Solar-powered Unmanned Aerial Vehicle for Surveillance." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152803.

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The degree project we were assigned consists of designing an environment-friendly Unmanned Aerial Vehicle (UAV) that can fly at least one hour. In this case the type of energy used for power system is solar energy as a clean energy.
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Tegeder, Troy. "Development of an efficient solar powered unmanned aerial vehicle with an onboard solar tracker /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1723.pdf.

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Herwitz, Stanley R., Joseph G. Leung, Michio Aoyagi, Donald B. Billings, Mei Y. Wei, Stephen E. Dunagan, Robert G. Higgins, Donald V. Sullivan, and Robert E. Slye. "WIRELESS LAN FOR OPERATION OF HIGH RESOLUTION IMAGING PAYLOAD ON A HIGH ALTITUDE SOLAR-POWERED UNMANNED AERIAL VEHICLE." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605364.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Two separate imaging payloads were successfully operated using a wireless line-of-sight telemetry system that was developed as part of a recently completed UAV (unmanned aerial vehicle) imaging campaign over the largest coffee plantation in the USA. The objective was to demonstrate the performance of “off-the-shelf” wireless technology in an effort to reduce the cost of line-of-sight telemetry for imaging payloads on UAVs. Pre-deployment tests using a conventional twin-engine piloted aircraft at a flight height of 10k ft demonstrated successful broadband connectivity between a rapidly moving (ca. 280 km hr^(-1)) airborne WLAN (wireless local area network) and a fixed ground station WLAN. This paper details the performance of the wireless telemetry system on a slow-flying (<50 km hr^(-1)) solar-powered UAV at a flight height of 6.4 km.
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Tu, Wei-Te, and 杜偉德. "Optimal Level Turn of Solar-Powered Unmanned Aerial Vehicle." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/30077062779062935440.

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碩士
淡江大學
航空太空工程學系碩士班
103
The thesis contains the design and manufacture of the solar powered UAV, Kung Pong, and derivation of equation of motion, design of autopilot, implementation and simulation of optimal level turn. The electrical powered UAV has wing span of 5.7 m and mass of 16.2 kg. The solar cells, which generates 230 watts of power, are placed on the wing upper surface. The wing skin makes use of glass fiber. The core of the avionics is APM2.5 from Ardupilot. The PID controllers of height and autopilot are designed by Ziegler-Nichols method. The optimal level control is implemented with the roll controller.
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Book chapters on the topic "Solar powered unmanned aerial vehicle (UAV)"

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Lee, Bohwa, Poomin Park, and Chuntaek Kim. "Power Managements of a Hybrid Electric Propulsion System Powered by Solar Cells, Fuel Cells, and Batteries for UAVs." In Handbook of Unmanned Aerial Vehicles, 495–524. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_115.

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Endara, F., C. Pérez, J. Rodriguez, D. Ortiz-Villalba, and J. Llanos. "Analysis of Unmanned Aerial Vehicle (UAV) Based on Solar Energy." In Lecture Notes in Electrical Engineering, 288–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72212-8_21.

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Vijayanandh, R., J. Darshan Kumar, M. Senthil Kumar, L. Ahilla Bharathy, and G. Raj Kumar. "Design and Fabrication of Solar Powered Unmanned Aerial Vehicle for Border Surveillance." In Springer Series in Geomechanics and Geoengineering, 61–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77276-9_7.

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Jacob, Benjamin G., and Peace Habomugisha. "Location Intelligence Powered by Machine Learning Automation for Mapping Malaria Mosquito Habitats Employing an Unmanned Aerial Vehicle (UAV) for Implementing “Seek and Destroy” for Commercial Roadside Ditch Foci and Real Time Larviciding Rock Pit Quarry Habitats in Peri-Domestic Agro-Pastureland Ecosystems in Northern Uganda." In Advanced Sciences and Technologies for Security Applications, 133–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71998-2_8.

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Mateja, Krzysztof, and Wojciech Skarka. "Simulation Model of Solar Powered UAV." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220674.

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This article presents the results of work of power supply system of an unmanned aerial vehicle (UAV) powered by solar cells. The goal of work was to develop simulation model which allow us to calculate the flight time for the input assumptions. The UAV power supply system main elements are photovoltaic cells and batteries. In the model we also included energy consumption devices (electric motors, servos, steering and measuring devices) and electricity converters. Adapting the model to the proposed technical system required detailed identification tests of the components used in the project. For this purpose, identification tests were carried out on test stands, in particular, on photovoltaic cells and battery cells. The proposed simulation model combines knowledge in the field of aerodynamics, flight mechanics, electrical engineering, electronics, avionics and photovoltaic and astronomy supplemented with the characteristics of individual components identified in laboratory tests. This data allow us to prepare more accurate and real simulation model. The irradiation charts allowed for the analysis of how long the UAV will be able to flight for a given location and time and simulate different scenarios of flights. The case study UAV is TwinStratos (TS) – High Altitude Long Endurance Unmanned Aerial Vehicle (HALE UAV) designed by the team we are members of. TS is able to achieve 20 km and flight in the stratosphere.
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Mateja, Krzysztof, and Wojciech Skarka. "Towards Energetic Autonomy of UAV." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200102.

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This article presents the results of work of power supply system of an unmanned aerial vehicle (UAV) powered by solar cells. The UAV power supply system consists of solar cells, a charge controller, battery cells and a BMS (Battery Management System). During the designing process various options for energy acquisition and recovery was considered, in particular ATG (Advanced Thermoelectric Generator). The MBD (Model-Based Design) methodology was used to develop the UAV power supply system. The system was developed in simulation model and next it was studied to find the space of possible solutions using this model. Solar cells are the most efficient if the sun rays fall on them perpendicular. During the simulation various angles of inclination of solar cells in relation to sun rays were studied. These values depend on latitude, azimuth, season (length of day), weatheri.e. if there are any clouds and even air pollution. The power supply system had to be constructed in such a way to ensure during the day excess to energy enabling the operation of the engines, peripheral devices (sensors, measuring devices, GPS module) as well as charging the batteries to maximum capacity. The next step was related to the proper selection of battery cells to ensure the operation of the devices and flight at night. The whole research was additionally extended by minimizing the mass of power supply elements while increasing the ability to achieve energy autonomy. The developed system allows to increase the UAV flight duration, and with appropriate construction, geographical location and favorable weather conditions it is able to provide full energy autonomy of the UAV. The UAV powered by solar cells enables for example monitoring of pollution, boundaries, power lines, crops and measuring selected physical quantities over any area e.g. smog.
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T,, Sanjana, Lalitha S., Surendra H. H., and Madhusudhan K. N. "AI-Based Wireless Communication." In Challenges and Risks Involved in Deploying 6G and NextGen Networks, 42–60. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3804-6.ch004.

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Artificial intelligence (AI) is one of the key enablers among quantum technology, smart meta-surfaces, dense antenna arrays, and mobile edge communication in 6G. The level of maturity achieved in the field of AI and development of computationally efficient hardware architectures with reduced costs have powered up the use of AI in different layers of wireless communication. Based on the learning, reasoning, and decision-making capability of AI, performance of wireless communication can be optimized. In addition, a whole new range of smart applications such as augmented reality (AR), virtual reality (VR), unmanned aerial vehicle (UAV), extended reality (XR) and holography, and autonomous driving, which demands high precision and low latency, can easily be accomplished by integrating AI into wireless communication. This chapter covers the role of AI in different layers, utilization of deep unfolding in physical layer, AI in mobile edge computing, explainable AI, federated learning, and AI for energy-efficient communication. The chapter concludes with research challenges and opportunities.
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Conference papers on the topic "Solar powered unmanned aerial vehicle (UAV)"

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Herwitz, Stanley, Lee Johnson, John Arvesen, Robert Higgins, Joseph Leung, and Stephen Dunagan. "Precision Agriculture as a Commercial Application for Solar-Powered Unmanned Aerial Vehicles." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3404.

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Bahrami Torabi, H., M. Sadi, and A. Yazdian Varjani. "Solar Power System for experimental unmanned aerial vehicle (UAV); design and fabrication." In Technologies Conference (PEDSTC). IEEE, 2011. http://dx.doi.org/10.1109/pedstc.2011.5742404.

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Karthik, M., S. Usha, B. Predeep, G. R. Sai Saran, G. Sridhar, and R. Theeksith. "Design and development of solar powered unmanned aerial vehicle (UAV) for surveying, mapping and disaster relief." In PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0068785.

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Guye, Kidus, Rebecca Mitchell, and Guangdong Zhu. "Unmanned Aerial Vehicle Path Generation for Image Collection to Assist Heliostat Field Optical Characterization." In ASME 2020 14th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/es2020-1683.

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Abstract This paper focuses on applications of unmanned aerial vehicles (UAVs) for measuring optical error of heliostats in concentrating solar power (CSP) plants. In CSP, there is a need to measure solar-field optical errors, which is critical for future production improvement as well as for operations and maintenance of a heliostat field. This latter need is particularly challenging because of the large number of heliostats (over 10,000 for a utility-scale power plant) that individually track the sun in the field. To address this issue, a camera-equipped UAV, with an optimized drone flight path developed and uploaded to it, collects images of a precise reflection of the tower on each heliostat to evaluate optical error sources without interrupting plant operation. Generation of the drone path for capturing the reflected images is affected by a number technical and realistic constraints, which include the camera angle used to capture the image, the blocking of the camera view due to surrounding heliostats, the location of the camera in reference to the target heliostat, and the target heliostat position with reference to the tower. The effect of these constraints on calculating the camera position will be discussed in detail in this article. An effective drone-path algorithm is generated to fulfil the need of image collection under various constraints.
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Zafar, Sayem, and Mohamed Gadalla. "Evaluation of an Integrated Fuel Cell-PV Panel System as a Hybrid UAV Powerplant." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87708.

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A model study was conducted to investigate the integration of a hybrid, fuel cell-PV panel power system for a small unmanned aerial vehicle (UAV). A hybrid power system is proposed as a substitute to the existing batteries to enhance the endurance of such systems. A UAV with wing area equivalent solar panel and 900Ah proton exchange membrane fuel cell, with stored pressurised hydrogen, is modeled. Maximum take-off weight of 100 N was used to make the UAV man-portable. The flight performance was simulated using available and calculated data. Aerodynamic analysis was conducted and the wing and tail geometries were determined to house the PV panels. The corresponding required power was then established from the drag and weight values. Measurements were made for the maximum required power for endurance. The results showed favorable increase in a small UAV’s flight performance when an integrated hybrid fuel cell-PV panel system is used. An endurance increment of 2384 seconds was achieved using a hybrid, fuel cell-PV panel, power system when compared to fuel cell only power system. The research proved the effectiveness of using fuel cell-PV panel hybrid system as a small UAV power plant. It also highlighted the effectiveness of using renewable sources to increase the endurance of a small UAV.
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Zafar, Sayem, and Mohamed Gadalla. "Energy Harvesting Using Small Renewable Energy Sources: UAV Application." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51650.

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A renewable energy harvesting system is designed and tested for micro power generation. Such systems have applications ranging from mobile use to off-grid remote applications. This study analyzed the use of micro power generation for small unmanned aerial vehicle (UAV) flight operations. The renewable energy harvesting system consisted of a small wind turbine, flexible type PV panels and a small fuel cell. Fuel cell is considered the stable source while PV and wind turbine produced varying power output. The load of around 250 W is simulated by a small motor. The micro wind turbine with the total length of 4.5 m and the disk diameter of 1.8 m is tested. The micro wind turbine dimensions make it big enough to be used to charge batteries yet small enough to be installed on rooftops or easily transportable. The wind turbine blades are installed at an angle of 22°, with respect to the disk plane, as it gives the highest rotation. The voltage and current output for the corresponding RPM and wind speeds are recorded for the wind turbine. Two 2 m and a single 1 m long WaveSol Light PV panels are tested. The PV tests are conducted to get the current and voltage output with respect to the solar flux. The variation in solar flux represented the time of day and seasons. A 250 W PEM fuel cell is tested to run the desired load. Fuel cell’s hydrogen pressure drop is recorded against the output electrical power and the run time is recorded. System performance is evaluated under different operating and environmental conditions. Data is collected for a wide range of conditions to analyze the usability of renewable energy harvesting system. This energy harvesting method significantly improves the usability and output of the renewable energy sources. It also shows that small renewable energy systems have existing applications.
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Lei, Zhong. "Development of a Solar-Powered Unmanned Aerial Vehicle." In 52nd Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0539.

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Rosales, Jesus G., and Andreas Gross. "Low-Cost High-Endurance Solar-Powered Unmanned Aerial Vehicle." In 35th AIAA Applied Aerodynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3920.

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Jenson, Devon, Ruben D'Sa, Travis Henderson, Jack Kilian, Bobby Schulz, and Nikolaos Papanikolopoulos. "Energy characterization of a transformable solar-powered unmanned aerial vehicle." In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017. http://dx.doi.org/10.1109/iros.2017.8206401.

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Hartney, Christopher. "Conceptual Design of a Model Solar-Powered Unmanned Aerial Vehicle." In 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-134.

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Reports on the topic "Solar powered unmanned aerial vehicle (UAV)"

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Scott G. Bauer, Matthew O. Anderson, and James R. Hanneman. Unmanned Aerial Vehicle (UAV) Dynamic-Tracking Directional Wireless Antennas for Low Powered Applications that Require Reliable Extended Range Operations in Time Critical Scenarios. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/911772.

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