В МАИ создали беспилотник для испытания аппаратуры ГЛОНАСС

The UAV has created a drone to test the GLONASS equipment

Catherine Alexandrova

The Moscow Aviation Institute (National Research University) has created a cargo unmanned aerial vehicle capable of soft landing in case of emergency.

It is planned that the new device will be used to test new samples of GLONASS navigation equipment in flight conditions. It can also be used in marine
search and rescue operations, as carriers of relay transmitters and for agrochemical field treatment.

As explained by Sergey Akhramochev, Design Engineer, Senior Lecturer in the Department of System Analysis and Management, the new drone is essentially a paraglider, which when the weather changes
conditions or emergencies provide a soft fit with no adverse effects on the payload. It is completely autonomous: the university for him developed
hardware and software complex. The personal computer specifies the route that the drone should fly around, then writes to a regular flash card and inserts it
into the onboard computer.

Unmanned aerial vehicle capable of carrying up to 15 kg of payload and carrying out autonomous flight on a given route over long distances without involving the operator
and telecommunication systems.

The design is an aerofoil-type wing that is attached to the motor-gondola with an onboard control system and an electric traction motor by means of slings.
Depending on the wing area, the load capacity can reach up to 120 kg, the non-stop flight time is up to 3 hours and depends on the weight of the load
and battery capacity. Horizontal airspeed up to 50 km / h

UAV is controlled by the height and pitch of the thrust motor, and at the rate – Clevant (control slings), which deviate the rear left and right
the edges of the aero-wing wing.

MAI designers have also engaged artificial intelligence: it makes its own decision, depending on external conditions and the weight of the payload. architecture
expert system developed in CLIPS.

Most of the time, the machine actively manages the course and altitude, while in the planning mode with the traction motor off, which greatly increases
unmanned flight time. The engine is switched on when needed.

The project involves students, graduate students, young professionals and leading scientists of the University. Flight tests were held at the airport “Alferevo”, the drone fulfilled all

Unmanned aerial vehicle (Drone), GLONASS

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