Synthesis of adaptive sliding flight control mode of a quadrocopter under conditions of variable load and interference

Abstract

Adaptive sliding control mode of an unmanned aerial vehicle (UAV) has been synthesized using neural networks to identify unknown factors acting on UAV. The MATLAB SIMULINK software was used to simulate the operation of the UAV control system. The simulation of the operation of the UAV location tracking system and UAV movement under the influence of unknown external forces of both constant magnitude and external forces varying according to a linear law is performed. An assessment of the performance of the UAV control system under the influence of random interference is given.