2021
DOI: 10.3390/electronics10192325
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Estimation of Airspeed, Angle of Attack, and Sideslip for Small Unmanned Aerial Vehicles (UAVs) Using a Micro-Pitot Tube

Abstract: Fixed and rotary-wing unmanned aircraft systems (UASs), originally developed for military purposes, have widely spread in scientific, civilian, commercial, and recreational applications. Among the most interesting and challenging aspects of small UAS technology are endurance enhancement and autonomous flight; i.e., mission management and control. This paper proposes a practical method for estimation of true and calibrated airspeed, Angle of Attack (AOA), and Angle of Sideslip (AOS) for small unmanned aerial ve… Show more

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Cited by 6 publications
(5 citation statements)
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“…Ariante G. et al [2] propose a practical method for the estimation of true and calibrated airspeed, angle of attack (AOA), and angle of sideslip (AOS) for small unmanned aerial vehicles (UAVs, up to 20 kg mass, 1200 ft altitude above ground level, and airspeed of up to 100 knots) or light aircraft, for which weight, cost, and power-consumption requirements do not allow solutions used in large airplanes (typically, arrays of multi-hole Pitot probes). The sensors used in this research were a static and dynamic pressure sensor ("micro-Pitot tube" MPX2010DP differential pressure sensor) and a 10 degrees of freedom (DoF) inertial measurement unit (IMU) for attitude determination.…”
Section: Review Papersmentioning
confidence: 99%
“…Ariante G. et al [2] propose a practical method for the estimation of true and calibrated airspeed, angle of attack (AOA), and angle of sideslip (AOS) for small unmanned aerial vehicles (UAVs, up to 20 kg mass, 1200 ft altitude above ground level, and airspeed of up to 100 knots) or light aircraft, for which weight, cost, and power-consumption requirements do not allow solutions used in large airplanes (typically, arrays of multi-hole Pitot probes). The sensors used in this research were a static and dynamic pressure sensor ("micro-Pitot tube" MPX2010DP differential pressure sensor) and a 10 degrees of freedom (DoF) inertial measurement unit (IMU) for attitude determination.…”
Section: Review Papersmentioning
confidence: 99%
“…To better compare and validate the test results, two continuous curves are given for the proposed detection model by obtaining the imaging length X P from the discretized yaw angle α (0.5 • interval) based on Equation (5) as the dashed red line, and also by acquiring the yaw angle α from the above discretized imaging length X P based on Equation (6) as the blue solid line in Figure 19 below. Left and right limit angles are computed according to Equations ( 10) and (11), and depicted as the two horizontal lines; the top 77.6 • describes the left and the bottom −83.2 • denotes the right limit angle. The 13 detected yaw angles are illustrated as circular, blue-edge markers which go well with the detection model, while the red markers are the results beyond the limit.…”
Section: Validation Of Pure View Casesmentioning
confidence: 99%
“…This is because cup anemometers are less affected by turbulence and changes in wind direction than pitot tube anemometers, which can be affected by eddies and vortices in the flow [9,10]. On the other hand, pitot tube anemometers may be more suitable for measuring airspeed in aircraft, unmanned aerial vehicles (UAVs), or other fluid flows where the total velocity, including horizontal and vertical components, is of interest [11]. Therefore, computer vision hardware and algorithms similarly offer a strong alternative to other wind measurement systems, alongside the expected comparative application-specific merits.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Pitot tubes have been used to evaluate the trajectory and speed of hybrid unmanned aerial vehicles with vertical take-off and landing (Ariante et al [71]; Zhang et al [72]). Fixed-wing unmanned aerial systems are also used for the study of turbulence in the atmospheric boundary layer and in the proximity of wind turbines.…”
Section: Pitot Tubesmentioning
confidence: 99%