Short Flight Times Research Articles

Kinematic analysis of velocity of jump serve among national level volleyball players

Jump serve is the difficult serve among all other volleyball serves. It has relatively short time of flight because the ball travels with greater velocity and topspin which leads to a fast drop down of the ball. A powerful jump serve often results an ace because either the opponent may not get adequate time for the reception or the player may not get the control on the received ball. In jump serve, the player jump from behind the end line, hit the ball in the air inside the court and land at the middle of the court. In effect, when comparing other serves by standing behind the end line; the ball contact of the jump serve takes place inside the court. This allows the served ball to travel less distance with greater speed towards the opponents’ court. Considering the importance of velocity of the serve, the present research investigates its characteristics through video analysis. The preset research attended to find out the relationship between selected linear kinematic variables of jump serve and velocity of the ball among national level male volleyball players. The purpose of the study was achieved with participation of 10 national level male volleyball players who have represented Kerala in national level competitions Two dimensional video analysis using the captured trials of different techniques by the sample (N= 20) trials for each techniques considered. The Kinovea motion analysis software was used as the tool for the same. The data collected through the video analysis method was statistically assessed by using Pearson’s Product Moment Correlation Coefficient and found that there was significant positive relationship between velocity of the ball with take-off velocity, height of CG at ball contact, reach height and distance of jump.

Large Horizontal Near-Field Scanner Based on a Non-Tethered Unmanned Aerial Vehicle

A horizontal planar scanner with an approximate size of 40 m <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times40$ </tex-math></inline-formula> m has been implemented using the Unmanned Aerial Vehicle (UAV) technology. The UAV is not wired to the ground to maintain the flexibility and short setup time of a non-tethered flight. In this configuration, the UAV-mounted continuous-wave source is not phase-locked to the on-the-ground receiver. A dual-polarized reference antenna placed on the ground is hence used to retrieve the relevant phase information. The presented approach has been applied on the Pre - Aperture Array Verification System (Pre -AAVS1) of the Square Kilometre Array, which is a digital beamformed array with 16 active elements. An inverse source technique has been applied on measured Near-Field (NF) data acquired on two different sets of points (one for each electric field component) from all the receiver channels. In this way, Embedded Element Patterns (EEPs), array calibration coefficients and pattern have been determined from NF data only. The achieved results have been validated using a complementary set of Far-Field (FF) measurements and simulations.

Identification Method of SUAV in Diving Phase Based on Flight Tests

A mathematical model of the dive phase is an important research content for improving the accuracy of terminal control in the small unmanned aerial vehicle. The acquisition of the diving model poses new challenges, such as the small installation space, ultra-low flying height of small suicide drones, short flight time, strong coupling, less observable measurement, and elastic deformation of the wings during the drone dive phase. Based on the autoregressive moving average method, a multi-input multioutput noise term topology mathematical model is proposed in this paper. Through an improved least squares identification method, the diving model in the flight test is analyzed and verified. The identification results of the diving model obtained by the proposed method are compared with the least squares method dive model. The results indicate that the mathematical model and identification method proposed in this paper can effectively obtain the parameters of the drone dive model.

Robot Anticipation Learning System for Ball Catching

Catching flying objects is a challenging task in human–robot interaction. Traditional techniques predict the intersection position and time using the information obtained during the free-flying ball motion. A common pain point in these systems is the short ball flight time and uncertainties in the ball’s trajectory estimation. In this paper, we present the Robot Anticipation Learning System (RALS) that accounts for the information obtained from observation of the thrower’s hand motion before the ball is released. RALS takes extra time for the robot to start moving in the direction of the target before the opponent finishes throwing. To the best of our knowledge, this is the first robot control system for ball-catching with anticipation skills. Our results show that the information fused from both throwing and flying motions improves the ball-catching rate by up to 20% compared to the baseline approach, with the predictions relying only on the information acquired during the flight phase.

Power Line Charging Mechanism for Drones

The use of multirotor drones has increased dramatically in the last decade. These days, quadcopters and Vertical Takeoff and Landing (VTOL) drones can be found in many applications such as search and rescue, inspection, commercial photography, intelligence, sports, and recreation. One of the major drawbacks of electric multirotor drones is their limited flight time. Commercial drones commonly have about 20–40 min of flight time. The short flight time limits the overall usability of drones in homeland security applications where long-duration performance is required. In this paper, we present a new concept of a “power-line-charging drone”, the idea being to equip existing drones with a robotic mechanism and an onboard charger in order to allow them to land safely on power lines and then charge from the existing 100–250 V AC (50–60 Hz). This research presents several possible conceptual models for power line charging. All suggested solutions were constructed and submitted to a field experiment. Finally, the paper focuses on the optimal solution and presents the performance and possible future development of such power-line-charging drones.

Comparison of development of step-kinematics of assisted 60 m sprints with different pulling forces between experienced male and female sprinters.

The purpose of this study was to compare step-by-step kinematics of normal and assisted 60 m sprints with different loads in experienced sprinters. Step-by-step kinematics were measured using inertial measuring units (IMU) integrated with a 3-axis gyroscope and a laser gun in 24 national level male and female sprinters during a normal 60 m sprint and sprints with a 3, 4, and 5 kg pulling force. The main findings were that using increasing assisted loads resulted in faster 60 m times, as a result of higher step velocity mainly caused by longer step lengths in both genders and by shorter contact times in women. Men had longer step lengths, longer contact times, and shorter flight times than women. However, the assisted loads had a greater effect on women than on men, as shown by their larger decrease in sprint times. These time differences in gender were the result of more and longer duration increases in maximal step velocity with increasing assisted loads for women (70-80% of distance) than men (65-70% of distance). This was mainly caused by shorter contact times, and by more increased step lengths in women compared to men. In terms of practical application, it is notable that employing this approach, when using assisted loads can help athletes to reach higher step velocities and hold this for longer, which may be a training impulse to move the speed barrier upwards.

(Invited) Low Temperature Plasma Electrochemistry with Microscopic Liquid Droplets in Flight

When microscopic-sized liquid droplets travel through a low temperature RF plasma [1] at atmospheric pressure a number of remarkable and unexpected effects have been observed. After a short flight time, ~0.1ms, there is evidence that chemical reactions induced by the plasma and gas flux proceed at a rate that is significantly faster that observed in plasma – bulk liquid studies and many orders of magnitude faster than in standard bulk chemistry.[2] We suspect this is due to the complex interplay between droplet charge, electric fields, both internal and external to the droplet, and high chemical fluxes arriving at the droplet surface.There exists a large potential to develop new plasma-liquid processes for medical, chemical, biological, environmental and materials applications, among others and we can highlight some unique features of the plasma – microdroplet system that may provide opportunities for exploitation, namely: (i) a controlled ambient environment, (ii) a large surface area to volume ratio, (iii) small volume, (iv) low droplet temperature, (v) in-flight chemical synthesis and encapsulation, and (iv) remote delivery. These features offer the possibility of delivering high fluxes of active chemical species and nanoparticles remotely and on demand for applications in, for example, plasma-medicine, agriculture and microreaction while keeping the plasma itself at a safe distance.We have measured reactive oxygen species (ROS) flux variation with distance, up to 150 mm beyond the plasma, along with its effect on bacterial cell viability, DNA and amino acids. We have investigated plasma interactions with single cells, each transported in its own droplet. We have used the individual droplets as chemical microreactors to produce nanoparticles in flight, at rates many orders of magnitude higher that via high energy radiolysis or chemical synthesis. These measurements form the basis for numerical simulation in the gas-plasma and liquid droplet phases. New measurement techniques, based on recently acquired facilities, are being investigated. These include mid-IR absorption studies of droplets and their environment in flight, using tunable supercontinuum and quantum cascade lasers, and freezing plasma-treated droplets in flight for in-situ transfer to XPS surface chemical analysis.Current theories of microparticle charging in a collisional plasma environment are very limited. While in-flight charge measurements represent a significant challenge, the relatively large size of the droplet (10 – 20 μm diameter) and the limited evaporation over the flight time, offer the prospect of using droplets as a spherical probe to develop enhanced collisional probe theories in the regime where the particle size is greater than Debye lengths or mean free paths. In-flight measurements indicate a minimum net charge of ~105 electrons, considerably higher than that obtained by other charging methods. Analytical – numerical and finite element simulations, in tandem with charge measurements, are being developed to better understand the droplet electrical environment and ultimately to link chemistry and charge in a consistent framework.

SIMERICS 해석 프로그램을 이용한 DJI MAVIC PRO Platinum의 공력특성에 대한 수치해석 연구

UAVs (called drones) have been a subject of great interest in recent years due to various applications. However, they still have some technical limitations such as short flight times, limited load capacity and noise. Recently, DJI developed MAVIC Pro Plantium with two interesting features of low-noise blades and trapezoidal arrangement of blades. In the present study, we are to investigate the aerodynamic characteristics of DJI MAVIC PRO Plantium by using SIMERICS MP of SIMERICS in order to improve our understanding of the aerodynamic performance of drones. First, the study on single blade analysis showed that the low-noise blade with winglet produces improved thrust as compared to the original blade without winglet. Also, the interference between multiple blades is significantly dependent on the shape of the arrangement of blades, resulting in different mean thrust and thrust fluctuations.

Influence of solvents on a near-field electrospun straight fine fibre

Near-field electrospinning (NFES) has been pursued in additive manufacturing for the fabrication of artificial extracellular matrix with controlled pattern structures from a continuous straight fine fibre. Due to short flight time, achieving a deposition of a solidified straight fine fibre can potentially be affected by the properties of a solvent. Therefore, this article presents an investigation of the effects of solvents on an NFES straight fine fibre. Dichloromethane (DCM), acetone, chloroform, toluene and dimethylformamide were the five solvents in this investigation. They were tested at the standoff distances of 3, 5 and 10 mm, and by using the needle gauges of 22G, 24G and 26G. According to the results, DCM having a relatively low boiling temperature and moderate dielectric constant delivered the smallest diameter straight uniform fibre. Furthermore, a solvent having a moderate boiling temperature and low dielectric constant is expected to deliver a thinner straight uniform fibre.

Spring-loaded body mass equivalent horizontal reactive countermovement jump ground contact and flight times, but not peak forces, are comparable to vertical jumping

Horizontal (cylinder-based) sledge jumping has been shown to ameliorate multi-system deconditioning induced by long-term bed-rest. However, biomechanics differ from 1 g vertical jumping, in particular prolongation of ground contact times (GCT), reduction of peak force, rate of force development (RFD) (and presumably stretch shortening cycle [SSC] efficacy) and stiffness, whilst also requiring relatively complex equipment. Thus, we sought to determine if horizontal spring-loaded countermovement jumps were more analogous to vertical jumping.9 healthy (5 female) subjects (27 ± 7yrs; 169.0 ± 5.3 cm; 63.6 ± 2.6 kg) performed 10 reactive countermovement jumps vertically, and horizontally (randomized) when lay on a spring-loaded carriage performed against loading (at lift-off) equivalent (±6%) to their body weight. Jump kinetics, kinematics and lower limb/trunk electromyographic activity were compared between conditions (paired t-tests).Mean flight and GCTs did not differ, however, peak jump height (p = 0.003; d = −0.961) was greater when jumping horizontally. In contrast, ground reaction forces (zGRF) during take-off (p < 0.001; d = 1.645) and landing (p = 0.002; d = 1.309), peak acceleration (p = 0.001; d = 1.988), leg stiffness (p = 0.001; d = 2.371) and RFD (p = 0.023; d = 1.255) were lower horizontally. Mean rectus femoris activity was lower during landing (p = 0.033; d = 0.691) when horizontal, but did not differ during either take-off or land-lift. Mean medial gastrocnemius activity was significantly (p = 0.018; d = 0.317) lower during horizontal take-off.Spring-loading (1 g at take-off) maintained short GCTs and flight times presumably maintaining muscle SSC efficacy in a manner that appears intuitive (in young active subjects), simple, robust and potentially compatible with spaceflight. Whether appropriate jump characteristics can be achieved in older subjects and in μg/hypogravity needs to be determined. However, greater jump height, lower peak zGRF, RFD and leg stiffness along with reduced lower limb and trunk muscle activity suggests that 1 g at take-off is insufficient to replicate vertical jump biomechanics. Thus, further investigation is warranted to optimize, and evaluate spring-loaded jumping as a gravity-independent multi-systems countermeasure on Earth, and in Space.

Significance of residual stresses in fatigue life prediction of micro gas turbine blades

The aim of this study is to investigate the significance of residual stresses in fatigue analyses of micro gas turbine blades in order to attain accurate fatigue life estimates; such studies have not been adequately investigated. This was achieved by manufacturing test samples using Additive Manufacturing (AM). The samples were subsequently heat-treated in order to mimic the operating conditions of the engine and then evaluated experimentally for the presence of residual stresses. In order to incorporate these residual stresses into engine operating conditions, an ABAQUS Finite Element Analysis (FEA) was conducted to define stresses which are effective during operation. Subsequently, a fatigue software (Fe-safe) was used to determine the fatigue behavior of the bladed disk while taking into consideration the in-plane residual stresses. The results acquired from this study showed an average residual stress contribution of 70% towards the fatigue life estimated cycles to failure of engines undertaking short flight missions. As the flight time increases, the residual stress influence decreases due to stress relaxation. This study, therefore, concluded that the inclusion of in-plane residual stresses in fatigue life estimates is significant for turbine blades operating at short flight time intervals with less effect on long mission operations.

Kablolu İHA Sistemleri ve Uygulamaları

Son yıllarda İHA sistemlerinin sivil ve askeri kullanımı hızla artmaktadır. Ancak uçuş sürelerinin kısa olması ve faydalı yük kapasitelerinin düşük olması gibi önemli kullanım kısıtları mevcuttur. Gelişen teknolojiyle birlikte İHA’ların bu kullanım kısıtlarına çözüm önerisi olarak farklı yapılarda İHA sistemleri tasarlanmıştır. Kablolu drone sistemleri ve kablolu aerostat sistemleri genel kabul görmüş çözümlerden birkaçıdır. Kablolu drone sistemleri daha düşük irtifalarda kesintisiz görev yapabilen drone temelli bir çözümdür. Bu çalışmalar sayesinde farklı uygulama alanlarında hizmet verilmeye başlanmıştır. Bu çalışmada İHA sistemleri ile bu sistemlerin avantaj ve dezavantajları sunulmuştur. Ayrıca kablolu drone ve kablolu aerostatların çalışma yapıları anlatılmış ve kullanım alanlarıyla ilgili örnekler verilmiştir.

Microbiological examination of water and aerosols from four industrial evaporative cooling systems in regard to risk of Legionella emissions and methodological suggestions for surveillance.

The hygienic risk associated with evaporative cooling systems in Germany is currently only assessed by determining concentrations of Legionella spp. in the corresponding cooling waters. Relevant for the health risk is however the load of Legionella in emitted aerosols. In this work aerosol emissions from four industrial cooling systems (A - D) were analyzed. A microbiological air bioburden factor (MABF) is suggested to be useful to assess the overall microbiological load of emitted air and to judge the efficiency of droplet separation and overall microbiological retention. Whereas the MABF by itself only serves as a technical quality assurance (QA) parameter, the hygienic relevance has to be seen in combination with the assessment of Legionella either contained in the aerosol or in the cooling water. Plate counting of colonies was an appropriate method to quantify Legionella spp. in aerosols given the short time of flight at the chosen sampling locations and resulting low risk of desiccation. qPCR data on the other hand proved more reproducible than the culture approach to quantify Legionella spp. concentrations in cooling water-. The application of qPCR also allowed to assess the relative proportion of Legionella pneumophila within the total pool of Legionella which adds epidemiological relevance to risk assessment. A traffic light system was proposed to guide interpretation of qPCR data. The four industrial systems greatly differed in all measured parameters leading to different associated risks.

UAV Virtualization for Enabling Heterogeneous and Persistent UAV-as-a-Service

In this paper, we propose an architecture for UAV virtualization with the primary aim of providing virtualized UAV services to multiple users by envisioning the concept of UAV-as-a-Service. In contrast to traditional UAVs, which are resource-constraint in nature and exhibit shorter flight times, our proposed UAV virtualization overcomes the limitations of short flight time of traditional UAVs, in turn allowing them to provide persistent and ubiquitous services. We achieve the virtualization of a UAV through multiple collaborating real-life UAVs performing various tasks in tandem. In this work, we focus on the placement and selection of UAVs to achieve virtualization. We use a social welfare-based approach to select suitable UAVs, from the available ones, and map the UAV to a virtual one. This work enables the provision of different UAV services to multiple end-users, without actual procurement of the UAVs by the end-users. We compare the results for optimal placement, normal maximum energy-based UAV selection, and Atkinson-based selection method. We also compare the virtual model and simple UAV-to-task model to physical UAV usage, task completion ratio, and residual energy of the system. Our proposed model outperforms the traditional model with a task completion efficiency of 94.26%. The residual energy of the system also increases with an increase in the number of tasks.

Logistical and technical considerations for the use of unmanned aircraft systems in coastal habitat monitoring: A case study in high-resolution subaquatic vegetation assessment

In recent years, the technology and regulation surrounding the use of unmanned aircraft systems (UASs) has rapidly advanced. This has resulted in the availability of such technology for more common applications. Here we compare manned versus UAS platforms for acquiring high-resolution imagery of subaquatic habitat for the purpose of boat propeller scar delineation in seagrass meadows in Redfish Bay, Texas. We acquired aerial seagrass imagery in three 20-hectare plots using two UASs and one manned aircraft platform. The three plots represented a priori designations of low, moderate, and high seagrass scarring intensity. Overall, we observed that a smaller amount of scarring was detected in the manned aircraft imagery compared to that collected by the two UAS platforms, and that this disparity was much greater for the high scarring intensity plot. The observed differences in scar feature delineations were at least partially related to logistical difference between these two platforms — specifically, the lower altitude flown by the UASs results in a higher spatial resolution of the imagery that is less dependent on the camera specifications. From a logistical standpoint, the potential gain in spatial resolution via lower altitude flight could result in a reduced pricetag for high-resolution mapped products. Further, the rapid deployment and local operation typically resulting from the accessibility of UAS training greatly simplify the logistics of planning imagery acquisition at the appropriate scale. However, we realize that the current trade-off with regard to higher altitude is the ability to cover large areas with fewer transects and shorter flight time. Coverage limitations for UASs is currently rooted in both technological and legal issues. However, as technology and regulations evolve, the technical and logistical comparison of imagery products from UAS and manned platforms will become increasingly important to natural resource managers and researchers looking to make this transition to UAS.

(Invited) Low Temperature Plasma Electrochemistry with Microscopic Liquid Droplets in Flight

When microscopic-sized liquid droplets travel through a low temperature RF plasma [1] at atmospheric pressure a number of remarkable and unexpected effects have been observed. After a short flight time, ~0.1ms, there is evidence that chemical reactions induced by the plasma and gas flux proceed at a rate that is significantly faster that observed in plasma – bulk liquid studies and many orders of magnitude faster than in standard bulk chemistry.[2] We suspect this is due to the complex interplay between droplet charge, electric fields, both internal and external to the droplet, and high chemical fluxes arriving at the droplet surface.There exists a large potential to develop new plasma-liquid processes for medical, chemical, biological, environmental and materials applications, among others and we can highlight some unique features of the plasma – microdroplet system that may provide opportunities for exploitation, namely: (i) a controlled ambient environment, (ii) a large surface area to volume ratio, (iii) small volume, (iv) low droplet temperature, (v) in-flight chemical synthesis and encapsulation, and (iv) remote delivery. These features offer the possibility of delivering high fluxes of active chemical species and nanoparticles remotely and on demand for applications in, for example, plasma-medicine, agriculture and microreaction while keeping the plasma itself at a safe distance. We have measured reactive oxygen species (ROS) flux variation with distance, up to 150 mm beyond the plasma, along with its effect on bacterial cell viability, DNA and amino acids.We have investigated plasma interactions with single cells, each transported in its own droplet. We have used the individual droplets as chemical microreactors to produce nanoparticles in flight, at rates many orders of magnitude higher that via high energy radiolysis or chemical synthesis. These measurements form the basis for numerical simulation in the gas-plasma and liquid droplet phases. New measurement techniques, based on recently acquired facilities, are being investigated. These include mid-IR absorption studies of droplets and their environment in flight, using tunable supercontinuum and quantum cascade lasers, and freezing plasma-treated droplets in flight for in-situ transfer to XPS surface chemical analysis. Current theories of microparticle charging in a collisional plasma environment are very limited. While in-flight charge measurements represent a significant challenge, the relatively large size of the droplet (10 – 20 μm diameter) and the limited evaporation over the flight time, offer the prospect of using droplets as a spherical probe to develop enhanced collisional probe theories in the regime where the particle size is greater than Debye lengths or mean free paths. In-flight measurements indicate a minimum net charge of 105 electrons, considerably higher than that obtained by other charging methods. Analytical – numerical and finite element simulations, in tandem with charge measurements, are being developed to better understand the droplet electrical environment and ultimately to link chemistry and charge in a consistent framework.

A Framework for Agricultural Pest and Disease Monitoring Based on Internet-of-Things and Unmanned Aerial Vehicles.

With the development of information technology, Internet-of-Things (IoT) and low-altitude remote-sensing technology represented by Unmanned Aerial Vehicles (UAVs) are widely used in environmental monitoring fields. In agricultural modernization, IoT and UAV can monitor the incidence of crop diseases and pests from the ground micro and air macro perspectives, respectively. IoT technology can collect real-time weather parameters of the crop growth by means of numerous inexpensive sensor nodes. While depending on spectral camera technology, UAVs can capture the images of farmland, and these images can be utilize for analyzing the occurrence of pests and diseases of crops. In this work, we attempt to design an agriculture framework for providing profound insights into the specific relationship between the occurrence of pests/diseases and weather parameters. Firstly, considering that most farms are usually located in remote areas and far away from infrastructure, making it hard to deploy agricultural IoT devices due to limited energy supplement, a sun tracker device is designed to adjust the angle automatically between the solar panel and the sunlight for improving the energy-harvesting rate. Secondly, for resolving the problem of short flight time of UAV, a flight mode is introduced to ensure the maximum utilization of wind force and prolong the fight time. Thirdly, the images captured by UAV are transmitted to the cloud data center for analyzing the degree of damage of pests and diseases based on spectrum analysis technology. Finally, the agriculture framework is deployed in the Yangtze River Zone of China and the results demonstrate that wheat is susceptible to disease when the temperature is between 14 °C and 16 °C, and high rainfall decreases the spread of wheat powdery mildew.

Player–surface interactions: perception in elite soccer and rugby players on artificial and natural turf

ABSTRACTArtificial turf (AT) is common at all levels of soccer and rugby. Employing an interdisciplinary design, this study aimed to examine the extent to which the negative attitude commonly expressed by players concerning AT is based on the difference in technique between AT and natural turf (NT), or due to pre-existing biases. Thirty professional soccer and rugby players performed a defined set of movements with masked and normal perception conditions on NT and AT. Two-dimensional kinematic analysis (100 Hz) of characteristics in parallel to a psychological assessment of the impact of cognitive bias for a playing surface was assessed. No significant interaction effects between the level of perception and surface type were found. For AT, contact time (CT) was shorter across conditions, while for NT rugby players had longer CT during acceleration/deceleration phases and shorter flight times. Pre-existing negative bias against AT was found during the normal perception trials in the technology acceptance model (Usefulness and Ease of Use) and the general preference questions on how much the athlete would like to play a game on it. The results suggest that opinion was not driven by surface characteristics, but by a cognitive bias, players brought with them to the pitch.

Increasing the efficiency of a drone motor by arranging magnetic sheets to windings

In recent years, there has been an increase in motorization; therefore, the demand for high-efficiency motors in automobiles and aircrafts will further increase. A drone is an aircraft that flies without a human pilot onboard; it has a short flight time because the size of the mounted battery is limited. The magnetic sheet consists of a composite material with magnetic powder and silicone rubber. The eddy current loss and copper loss of the drone motor reduces when the sheet is attached to the coil. This paper reports on the effect of improving the drone motor efficiency by lowering the leakage magnetic flux of the rotor and increasing the heat dissipation in the simulation and the experiment.

Analysis of Flight Energy Variation of Small Solar UAVs Using Dynamic Soaring Technology

Limited by its low energy capacity, small UAVs have short flight time. Therefore, it is of great significance to improve the endurance performance of small UAVs by applying solar energy technology and dynamic soaring technology which can obtain external energy. This paper analyzes the energy exchange principle of small UAVs using solar energy technology and dynamic soaring technology, and works out the strategy of maximum energy gain. Small UAV flight dynamics model combined with solar power-energy system was built, choosing surround flight path at twilight moment for simulation validation. The advantages of small solar UAV using dynamic soaring technology in energy acquisition in hovering flight and pure dynamic gliding flight are verified, compared with traditional solar vehicle. The significance of combining the two energy acquisition technologies to improve the endurance of small UAV is proved, which provides a basis for further study of all-weather uninterrupted flight in the future.