SEMI-NATURAL TEST METHOD FOR TRAINING AND TUNING ADAPTIVE AUTOMATIC CONTROL SYSTEMS FOR UNMANNED AIRCRAFT Russian patent published in 2023 - IPC B64F5/60 G05B23/00 B64U10/00 

Abstract RU 2795073 C1

FIELD: unmanned aerial vehicles.

SUBSTANCE: invention relates to a method for semi-natural testing of unmanned aerial vehicles (UAV) containing adaptive and intelligent automatic control systems (ACS), using a robotic mobility system and an atmospheric conditions simulation system. Provide multiple reproduction of a given controlled spatial movement of the UAV. An air-wind environment is created with a variable intensity, which is changed according to a given law synchronously with the movement of the UAV along the simulated trajectory. The UAV motion parameters and air-wind conditions, the actual values of the UAV motion and orientation parameters, the control commands generated by the ACS and their implementation by the controls, as well as the results of measuring the components of forces and moments in the suspension unit are recorded. The adaptive and intelligent ACS are trained and configured, the results of training are evaluated.

EFFECT: increased information content of test results.

3 cl, 2 dwg

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RU 2 795 073 C1

Authors

Sypalo Kirill Ivanovich

Ganyak Oleg Iosifovich

Shibaev Vladimir Mikhajlovich

Ajrapetov Aleksandr Borisovich

Apollonov Dmitrij Vadimovich

Dates

2023-04-28Published

2023-01-24Filed