scholarly journals Use of stochastic resonance effect for analysis of acoustic radiation spectrum of small unmanned aerial vehicles

Radiotekhnika ◽  
2019 ◽  
Vol 2 (197) ◽  
pp. 100-106
Author(s):  
В.М. Карташов ◽  
О.И. Харченко ◽  
В.И. Чумаков
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Stochastic Resonance ◽  
Radiation Spectrum ◽  
Acoustic Radiation ◽  
Resonance Effect ◽  
Aerial Vehicles

scholarly journals Detection-Recognition of Unmanned Aerial Vehicles using the Composed Auto-Regression Model of their Acoustic Radiation

2020 ◽  
Vol 0 (81) ◽  
pp. 38-46
Author(s):  
V. A. Tikhonov ◽  
V. M. Kartashov ◽  
V. M. Oleinikov ◽  
V. I. Leonidov ◽  
L. P. Timoshenko ◽  
...  
Keyword(s):  
Regression Model ◽  
Unmanned Aerial Vehicles ◽  
Acoustic Radiation ◽  
Aerial Vehicles ◽  
Auto Regression

scholarly journals Experimental evaluation of efficiency of algorithms for direction finding of unmanned aerial vehicles by acoustic radiation

Radiotekhnika ◽  
2019 ◽  
Vol 4 (199) ◽  
pp. 29-37
Author(s):  
В.Н. Олейников ◽  
О.В. Зубков ◽  
В.М. Карташов ◽  
И.В. Корытцев ◽  
С.И. Бабкин ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Experimental Evaluation ◽  
Acoustic Radiation ◽  
Direction Finding ◽  
Aerial Vehicles ◽  
Efficiency Of Algorithms

INVESTIGATION OF DETECTION AND RECOGNITION EFFICIENCY OF SMALL UNMANNED AERIAL VEHICLES ON THEIR ACOUSTIC RADIATION

2019 ◽  
Vol 78 (9) ◽  
pp. 759-770 ◽  
Author(s):  
V. N. Oleynikov ◽  
O. V. Zubkov ◽  
V. M. Kartashov ◽  
I. V. Korytsev ◽  
S. I. Babkin ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Acoustic Radiation ◽  
Aerial Vehicles ◽  
Recognition Efficiency ◽  
Detection And Recognition

scholarly journals AEROACOUSTICS OF THE IMPELLER IN HOVERING MODE

Akustika ◽  
2021 ◽  
Author(s):  
Pavel Bulat ◽  
Pavel Chernyshov ◽  
Anton Kurnukhin ◽  
Konstantin Volkov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Integral Method ◽  
Acoustic Radiation ◽  
Directional Pattern ◽  
Main Role ◽  
Noise Generation ◽  
Eddy Simulation ◽  
Aerial Vehicles ◽  
Large Eddy ◽  
Aerial Vehicle

The main role in reducing the noise generation of unmanned aerial vehicles is played by aeroacoustic improvement of their power plant. To identify the acoustic field generated by the rotation of the impeller, which is used on an unmanned aerial vehicle of a quadcopter type, numerical modeling was carried out with the identification of the turbulent structure of the flow using the Large Eddy Simulation (LES). To calculate the noise, the Fox Williams-Hawkings (FW-H) integral method was applied, which makes it possible to determine the aeroacoustic characteristics in the far flow field. Using this technique, the noise level at various points was determined, a spectral analysis of the noise was carried out, and the directional pattern of acoustic radiation was plotted for various speeds of rotation of the propeller in hovering mode.

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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