Relevant bibliographies by topics / Unmanned aerial vehicle using solar energy

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Academic literature on the topic 'Unmanned aerial vehicle using solar energy'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Unmanned aerial vehicle using solar energy"

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Hernandez-Toral, Jorge L., Iván González-Hernández, and Rogelio Lozano. "Sun Tracking Technique Applied to a Solar Unmanned Aerial Vehicle." Drones 3, no. 2 (June 22, 2019): 51. http://dx.doi.org/10.3390/drones3020051.

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In recent years, solar energy has been used as an energy source for many different applications. Currently in the area of Unmanned Aerial Vehicles (UAVs), there are research studies that incorporate this renewable energy technology to increase the vehicle’s autonomy. This technique also needs particular construction techniques and electronic boards, designed to reduce weight and increase the efficiency of all solar systems on board the UAV. As is well known, the amount of generated solar energy could be increased throughout a day a sun tracking technique is added. The present paper proves that the roll angle of a fixed wing UAV can be used to track the sun to increase the energy generated by the solar panels placed on the wing. In that case, the plane’s attitude must be compensated with the yaw angle control to be able to perform a photogrammetric mission. This will be achieved using a control strategy based on the super-twisting technique that ensures convergence in finite time even in the presence of bounded perturbations. The design of the control laws as well as the numerical simulation and real flight results are shown to validate the use of the sun tracking system.
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Holness, Alex E., Hannah Solheim, Hugh A. Bruck, and Satyandra K. Gupta. "A design framework for realizing multifunctional wings for flapping wing air vehicles using solar cells." International Journal of Micro Air Vehicles 11 (January 2019): 175682931983627. http://dx.doi.org/10.1177/1756829319836279.

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Long flight durations are highly desirable to expand mission capabilities for unmanned air systems and autonomous applications in particular. Flapping wing aerial vehicles are unmanned air system platforms offering several performance advantages over fixed wing and rotorcraft platforms, but are unable to reach comparable flight times when powered by batteries. One solution to this problem has been to integrate energy harvesting technologies in components, such as wings. To this end, a framework for designing flapping wing aerial vehicle using multifunctional wings using solar cells is described. This framework consists of: (1) modeling solar energy harvesting while flying, (2) determining the number of solar cells that meet flight power requirements, and (3) determining appropriate locations to accommodate the desired number of solar cells. A system model for flapping flight was also developed to predict payload capacity for carrying batteries to provide energy only for power spikes and to enable time-to-land safely in an area where batteries can recharge when the sun sets. The design framework was applied to a case study using flexible high-efficiency (>24%) solar cells on a flapping wing aerial vehicle platform, known as Robo Raven IIIv5, with the caveat that a powertrain with 81% efficiency is used in place of the current servos. A key finding was the fraction of solar flux incident on the wings during flapping was 0.63 at the lowest solar altitude. Using a 1.25 safety factor, the lowest value for the purposes of design will be 0.51. Wind tunnel measurements and aerodynamic modeling of the platform determined integrating solar cells in the wings resulted in a loss of thrust and greater drag, but the resulting payload capacity was unaffected because of a higher lift coefficient. A time-to-land of 2500 s was predicted, and the flight capability of the platform was validated in a netted test facility.
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Engana Carmo, Joana, João Paulo Neto Torres, Gonçalo Cruz, and Ricardo A. Marques Lameirinhas. "Effect of the Inclusion of Photovoltaic Solar Panels in the Autonomy of UAV Time of Flight." Energies 14, no. 4 (February 8, 2021): 876. http://dx.doi.org/10.3390/en14040876.

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Photovoltaic technology and unmanned aerial vehicles are both alluring areas with a lot of potential to explore. Consequently, they have an ability to adapt and progress when faced with new challenges, hence their wide range of applications. An auspicious combination between the two is born from the Unmanned Aerial Vehicles’ (UAVs) inability to to overcome some of its problems, namely the autonomy one. This article springs from the need to vanquish the problem, finding a more permanent solution. Its aim consists in the installation of solar photovoltaic panels in the structure of a UAV, with the objective of studying being its influence on the vehicle’s time of flight. To accomplish this, a theoretical study will be made, encompassing all the potential variables together with its influence. In order to verify the credibility of these claims, a prototype, based on the original aerial vehicle structure form and material, is constructed, using a finite element tool. Later, the prototype is used to evaluate possible harsh circumambient air to structure interactions, modeled by the fluid motion describer Navier–Stokes equations. For a smooth approach involving lighter computational power, a RANS model is used to asses the equations. Based on its results the chosen solar technology credibility is evaluated. A simulation of solar cells will also be carried out, accepting as input previously studied parameters which will modify its performance. Bearing in mind the produced results, it is concluded that the solar panels can only significantly augment the time of flight in very specific conditions.
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Fuentes, Jose Eduardo, Francisco David Moya, and Oscar Danilo Montoya. "Method for Estimating Solar Energy Potential Based on Photogrammetry from Unmanned Aerial Vehicles." Electronics 9, no. 12 (December 14, 2020): 2144. http://dx.doi.org/10.3390/electronics9122144.

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This study presents a method to estimate the solar energy potential based on 3D data taken from unmanned aerial devices. The solar energy potential on the roof of a building was estimated before the placement of solar panels using photogrammetric data analyzed in a geographic information system, and the predictions were compared with the data recorded after installation. The areas of the roofs were chosen using digital surface models and the hemispherical viewshed algorithm, considering how the solar radiation on the roof surface would be affected by the orientation of the surface with respect to the sun, the shade of trees, surrounding objects, topography, and the atmospheric conditions. The results show that the efficiency percentages of the panels and the data modeled by the proposed method from surface models are very similar to the theoretical efficiency of the panels. Radiation potential can be estimated from photogrammetric data and a 3D model in great detail and at low cost. This method allows the estimation of solar potential as well as the optimization of the location and orientation of solar panels.
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Filho, José Ilton De Oliveira, Omar Alkhazragi, Abderrahmen Trichili, Boon S. Ooi, Mohamed-Slim Alouini, and Khaled Nabil Salama. "Simultaneous Lightwave and Power Transfer for Internet of Things Devices." Energies 15, no. 8 (April 12, 2022): 2814. http://dx.doi.org/10.3390/en15082814.

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A laudable goal toward achieving autonomous internet of things (IoT) devices would be to use the same circuitry for communication and harvesting energy. One way to achieve it is through simultaneous lightwave and power transfer (SLIPT) that consists of using solar cells to harvest energy and receive information signals. Here, a SLIPT-based system that uses a large area solar panel to harvest energy from light sources and decode data signals is designed. The designed system is equipped with an infrared sensor used to detect the movements of an unmanned aerial vehicle. We equally discuss the wide-scale deployment of IoT devices with SLIPT capability.
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Huang, Hailong, and Andrey V. Savkin. "Path Planning for a Solar-Powered UAV Inspecting Mountain Sites for Safety and Rescue." Energies 14, no. 7 (April 2, 2021): 1968. http://dx.doi.org/10.3390/en14071968.

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This paper focuses on the application using a solar-powered unmanned aerial vehicle (UAV) to inspect mountain sites for the purpose of safety and rescue. An inspection path planning problem is formulated, which looks for the path for an UAV to visit a set of sites where people may appear while avoiding collisions with mountains and maintaining positive residual energy. A rapidly exploring random tree (RRT)-based planning method is proposed. This method firstly finds a feasible path that satisfies the residual energy requirement and then shortens the path if there is some abundant residual energy at the end. Computer simulations are conducted to demonstrate the performance of the proposed method.
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Ren, Simiao, Jordan Malof, Rob Fetter, Robert Beach, Jay Rineer, and Kyle Bradbury. "Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning." ISPRS International Journal of Geo-Information 11, no. 4 (March 24, 2022): 222. http://dx.doi.org/10.3390/ijgi11040222.

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Solar home systems (SHS), a cost-effective solution for rural communities far from the grid in developing countries, are small solar panels and associated equipment that provides power to a single household. A crucial resource for targeting further investment of public and private resources, as well as tracking the progress of universal electrification goals, is shared access to high-quality data on individual SHS installations including information such as location and power capacity. Though recent studies utilizing satellite imagery and machine learning to detect solar panels have emerged, they struggle to accurately locate many SHS due to limited image resolution (some small solar panels only occupy several pixels in satellite imagery). In this work, we explore the viability and cost-performance tradeoff of using automatic SHS detection on unmanned aerial vehicle (UAV) imagery as an alternative to satellite imagery. More specifically, we explore three questions: (i) what is the detection performance of SHS using drone imagery; (ii) how expensive is the drone data collection, compared to satellite imagery; and (iii) how well does drone-based SHS detection perform in real-world scenarios? To examine these questions, we collect and publicly-release a dataset of high-resolution drone imagery encompassing SHS imaged under a variety of real-world conditions and use this dataset and a dataset of imagery from Rwanda to evaluate the capabilities of deep learning models to recognize SHS, including those that are too small to be reliably recognized in satellite imagery. The results suggest that UAV imagery may be a viable alternative to identify very small SHS from perspectives of both detection accuracy and financial costs of data collection. UAV-based data collection may be a practical option for supporting electricity access planning strategies for achieving sustainable development goals and for monitoring the progress towards those goals.
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Yi, Jun Min, and Ikjune Yoon. "Efficient Energy Supply Using Mobile Charger for Solar-Powered Wireless Sensor Networks." Sensors 19, no. 12 (June 13, 2019): 2679. http://dx.doi.org/10.3390/s19122679.

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An energy-harvesting wireless sensor network mitigates the energy shortage problems of existing battery-based wireless sensors; however, its hotspot area sensor nodes still experience 3 blackouts, thereby reducing network connectivity. Techniques that transfer energy directly to sensor nodes using wireless power transfer (WPT) have been studied in recent years to address this issue. In this paper, we propose a technique that uses a drone (quadcopter), which is a type of unmanned aerial vehicle (UAV), as a mobile sink. The drone selects and manages anchor nodes that aggregate data temporarily, collects data by visiting the anchor nodes to mitigate the hotspot issue, and then prevents blackouts by supplying energy to low-energy nodes, thereby improving network connectivity. The anchor nodes are carefully selected after considering the energy capacity of the drone, the size of the network, the amount of collected data, and the energy consumed by the nodes to increase the network’s energy efficiency. Furthermore, energy is transferred from the drone to the anchor nodes to support their energy consumption. In our study, this method reduced the blackouts of sensor nodes, including anchor nodes, in hotspot regions, and increased network connectivity, thereby improving the amount of data gathered by the mobile sink.
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Lee, Dong Ho, and Jong Hwa Park. "Developing Inspection Methodology of Solar Energy Plants by Thermal Infrared Sensor on Board Unmanned Aerial Vehicles." Energies 12, no. 15 (July 30, 2019): 2928. http://dx.doi.org/10.3390/en12152928.

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Photovoltaic (PV) power generation facilities have been built on various scales due to rapid growth in response to demand for renewable energy. Facilities built on diverse terrain and on such a scale are required to employ fast and accurate monitoring technology for stable electrical production and maintenance. The purpose of this study was to develop a technology to analyze the normal operation and failure of solar modules by acquiring images by attaching optical and thermal infrared sensors to unmanned aerial vehicles (UAVs) and producing orthographic images of temperature information. The results obtained in this study are as follows: (1) a method of using optical and thermal infrared sensors with different resolutions at the same time is able to produce accurate spatial information, (2) it is possible to produce orthographic images of thermal infrared images, (3) the analysis of the temperature fluctuation characteristics of the solar panel and cell showed that the abnormal module and cell displayed a larger temperature change than the normal module and cell, and (4) the abnormal heat generation of the panel and cell can be accurately discerned by the abnormal state panel and cell through the spatial distribution of the temperature. It is concluded that the inspection method of the solar module using the obtained UAV-based thermal infrared sensor can be useful for safety inspection and monitoring of the rapidly growing solar power generation facility.
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Liu, S., J. Bai, and C. Wang. "Energy acquisition of a small solar UAV using dynamic soaring." Aeronautical Journal 125, no. 1283 (August 20, 2020): 60–86. http://dx.doi.org/10.1017/aer.2020.79.

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ABSTRACTDynamic soaring improves the endurance of Unmanned Aerial Vehicles (UAVs) by obtaining energy from the horizontal wind shear gradient. The use of dynamic soaring in small solar UAVs can mitigate the trade-off between energy capacity and battery weight to achieve continuous all-day flight. The goal of this study is to determine the optimal energy acquisition methods for small solar UAVs using dynamic soaring and to decrease the battery weight to achieve all-day flight. A dynamic soaring UAV model that considers the influence of the wind shear gradient and a solar power energy model are established. The conditions to obtain a closed-loop energy system during daytime and nighttime flights are discussed, and the minimum mass of the energy system required for these conditions is determined. Simulations of single-cycle circular flights and a 72-h continuous flight of a small solar UAV are performed. The analyses and simulation results show that: (1) the combination of dynamic soaring and solar technology significantly reduces the energy consumption and reduces the required battery weight, (2) the flight speed and flight attitude angles have significant effects on the optimal total energy acquisition and (3) wind fields with a large horizontal gradient and strong solar illumination provide energy and load advantages.
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Book chapters on the topic "Unmanned aerial vehicle using solar energy"

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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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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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Conference papers on the topic "Unmanned aerial vehicle using solar energy"

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Dhamankar, Namrata, Prajakta Kulkarni, and Nidhi Dixit. "Estimating Potential Solar Energy on Rooftops using Unmanned Aerial Vehicle." In 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 2019. http://dx.doi.org/10.1109/iccike47802.2019.9004418.

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Culwell, Bradford M., Shripad T. Revankar, and Radhika Kotha. "A Dynamic Model for a Closed-Loop Continuous Energy System Using Solar Power." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14550.

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One key advantage of solar power over more traditional power sources is its modular nature, allowing it to be used in remote locations or as a supplementary source of power. Recent studies show fuel cell technology as a good means of providing a continuous supply of electricity from a solar array, eliminating drawbacks caused by solar energy's cyclical nature. The high power density of such a system makes it ideal for use in areas such as unmanned aerial vehicles and space exploration. Due to the complexity and relatively high initial cost of current fuel cells, however, optimization of such a system is critical. This paper examines a dynamic model of a solar regenerative fuel cell system built in MATLAB Simulink. The system uses a polymer electrolyte membrane (PEM) fuel cell, running on stored hydrogen and oxygen, to produce power when solar energy is insufficient. It uses a PEM based electrolyzer to produce hydrogen and oxygen from water when solar energy exceeds demand. The mathematical model includes modules for each component, including solar cells, fuel cell, electrolyzer, and auxiliary systems. Models were built based on fundamental physics to the extent practical. The individual modules were first tested for their performances and then were integrated to form an integrated solar powered regenerative fuel cell system. The simulations were carried out for a day and night cycle and the results show that the closed loop system can be operated providing continuous supply of electric power.
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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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Rezk, Mahmoud, Nawal Aljasmi, Rufaidah Salim, Hesham Ismail, and Iraklis Nikolakakos. "Autonomous PV Panel Inspection With Geotagging Capabilities Using Drone." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-69246.

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Abstract According to the International Renewable Energy Agency (IRENA), photovoltaic (PV) production anticipates an increase of 10% in 2021. The rapid increase in the PV panels installation requires a robust inspection method of existing solar parks to maintain efficiency and productivity levels. With advancements in drone technology, Unmanned Aerial Vehicles (UAV) are being used to inspect the solar parks, either flown manually or autonomously. Furthermore, there are various image processing approaches to analyze the data gathered. However, current practical application techniques do not effectively localize the defective panels present within the solar farm. This paper proposes a method to inspect large-scale solar parks using an autonomous drone equipped with Real-Time Kinematic (RTK) and camera. The proposed method is a fully autonomous solution for inspecting PV panels, with effective detection and localization of faults. It can ease the procedure of inspection by automating it and give highly reliable results.
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Wang, Ya, and Daniel J. Inman. "Simultaneous Energy Harvesting and Gust Alleviation for a Multifunctional Wing Spar Using Reduced Energy Control Laws via Piezoceramics." In ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/smasis2011-5224.

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The increasing need for lightweight structures in Unmanned Aerial Vehicle (UAV) applications raise issues involving gust alleviation. Here we examine the gust alleviation problem using a self-sensing, self-charging, and self-actuating structure. The basic idea is that the wing itself is able to harvest and store energy from the normal vibrations during flight along with any available sunlight. If the wing experiences any strong, unexpected wind gust, it will sense the increased vibration levels and provide vibration control to maintain its stability. In this paper, a multifunctional wing spar is designed, which integrates a flexible solar cell array, piezoceramic wafers, a thin film battery and an electronics module into a composite structure. This multifunctional wing spar therefore carries on the functions of energy harvesting and storage, as well as the functions of gust alleviation via piezoelectric materials. The piezoceramic wafers act as sensors, actuators, and harvesters. The global modulus and stiffness of this multifunctional wing spar are estimated using both the rule of mixtures and the cross section transformation method. These values are then used in an Euler-Bernoulli cantilever beam model of the multifunctional spar. The first two dominant modes are predicted analytically for the distributed parameter model. The finite element method is employed to confirm the analytical eigenvalues estimation. Special attention is given to the self-contained gust alleviation with the goal of using harvested energy. The gust signals are generated using a Gaussian white noise source n (t) ∼ N (0,1) fed into a linear filter, with the required intensity, scale lengths, and power spectral density (PSD) function for the given flight velocity and height. The Dryden PSD function is implemented for atmospheric turbulence modeling. The recently developed reduced energy control law is combined with a positive strain feedback controller to minimize the actuation energy and the dissipated heat energy. Positive feedback operation amplifiers (op-amps) and voltage buffer op-amps are implemented for two dominant mode gust disturbance controls. This work builds off of our previous research in self-charging structures and holds promise for improving UAV performance in wind gust alleviation.
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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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Park, Jin-ki, Amriata Das, and Jong-hwa Park. "Estimating distribution of precision solar radiation using unmanned aerial vehicle." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730754.

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He, Xinlu, Xiaoping Sun, Feng Wang, Xianpeng Li, Fang Zhuo, and Shanshan Luo. "Design of Energy Management System for a Small Solar-powered Unmanned Aerial Vehicle." In 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2018. http://dx.doi.org/10.1109/pedg.2018.8447677.

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Krishna K, Arjun, and Paul Thomas. "Unmanned Aerial Vehicle Surveillance using Multiple Inter-symbol Obfuscation scheme." In 2020 International Conference on Power Electronics and Renewable Energy Applications (PEREA). IEEE, 2020. http://dx.doi.org/10.1109/perea51218.2020.9339785.

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Kuo, Hao-Yi, Nobuyuki Takabayashi, Shao-Yung Lu, Tomohiko Mitani, Ying-Chih Liao, and Yu-Te Liao. "Wirelessly Powered Temperature Sensing System Using Unmanned Aerial Vehicle for Environmental Monitoring." In 2021 IEEE International Future Energy Electronics Conference (IFEEC). IEEE, 2021. http://dx.doi.org/10.1109/ifeec53238.2021.9661764.

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