Aerodynamics of UAV Configurations

Marques, Pascual

doi:10.1002/9781118928691.ch2

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…and Batey [6] respectively, and the former analyzed the energy utilization efficiency of actuator and the latter expounded the development process of jet. In the field of flight control, Marques and Pascual [7] studied the feasibility of PSJ in flight control. Zhang et al [8] and Torres [9] found that the PSJ has a strong ability to control the high-speed flow field.…”

Section: Introductionmentioning

confidence: 99%

Active Flow Control Based on Plasma Synthetic Jet for Flapless Aircraft

et al. 2021

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Active flow control (AFC) based on plasma synthetic jet actuator (PSJA) has been attracted a lot of researchers since Anderson and Knight put forward the concept of PSJA for the first time. Since then the characteristic of PSJA has been studied by means of many numerical simulations and experiments. This article showed a series of studies that manipulated a vehicle without moving control surfaces. Firstly, we research the characteristics of the aviation actuator, including the effects of structure and parameters on performance. Secondly, we explore the influence of the actuator on the air field around the aircraft by simulation, including the influence of the actuator on the aerodynamic coefficients and pitching moment coefficient. Finally, since these changes are similar to those caused by the deflection of the rudder surface, we can equivalent the effect of the PSJA to the deflection of the rudder surface, and simulate the threedegree-of-freedom pitch control channel of the aircraft to illustrate the effectiveness of PSJA on the flapless control system.INDEX TERMS Plasma synthetic jet actuator, active flow control, flapless control system.

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Section: Introductionmentioning

confidence: 99%

Active Flow Control Based on Plasma Synthetic Jet for Flapless Aircraft

et al. 2021

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“…It is this increased speed of image interpretation, together with the associated spatial and temporal improvements, that show potential for changing how farmers interact with and respond to their fields. Overall, advances in UAV platforms [5], sensors design and miniaturization [6], improvements in imaging techniques and processing workflows [7], as well as the availability of ultra-high temporal and spatial resolution data [4] are revolutionizing the way in which environmental monitoring applications can be undertaken [8].…”

Section: Introductionmentioning

confidence: 99%

Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV

et al. 2018

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Monitoring the development of vegetation height through time provides a key indicator of crop health and overall condition. Traditional manual approaches for monitoring crop height are generally time consuming, labor intensive and impractical for large-scale operations. Dynamic crop heights collected through the season allow for the identification of within-field problems at critical stages of the growth cycle, providing a mechanism for remedial action to be taken against end of season yield losses. With advances in unmanned aerial vehicle (UAV) technologies, routine monitoring of height is now feasible at any time throughout the growth cycle. To demonstrate this capability, five digital surface maps (DSM) were reconstructed from high-resolution RGB imagery collected over a field of maize during the course of a single growing season. The UAV retrievals were compared against LiDAR scans for the purpose of evaluating the derived point clouds capacity to capture ground surface variability and spatially variable crop height. A strong correlation was observed between structure-from-motion (SfM) derived heights and pixel-to-pixel comparison against LiDAR scan data for the intra-season bare-ground surface (R 2 = 0.77 − 0.99, rRMSE = 0.44% − 0.85%), while there was reasonable agreement between canopy comparisons (R 2 = 0.57 − 0.65, rRMSE = 37% − 50%). To examine the effect of resolution on retrieval accuracy and processing time, an evaluation of several ground sampling distances (GSD) was also performed. Our results indicate that a 10 cm resolution retrieval delivers a reliable product that provides a compromise between computational cost and spatial fidelity. Overall, UAV retrievals were able to accurately reproduce the observed spatial variability of crop heights within the maize field through the growing season and provide a valuable source of information with which to inform precision agricultural management in an operational context.

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