An algorithm for ensuring the required level of stability of control of an unmanned aerial vehicle in the conditions of counteraction

The paper proposes an algorithm for ensuring the required stability level of controlling an unmanned aerial vehicle (UAV) in the conditions of counteraction. It is assumed that the external influence includes both intentional de-structive influences and unintended environmental influences. The sustainable control of UAVs is considered as the ability of the governing bodies to perform their functions in a complex sharply changing environment under conditions of interference, enemy influence (fire, electronic, etc.) and technical failures, keeping the values of all control indicators within the established limits, respectively. The paper considers the means of fire and physical destruction, electronic suppression, as well as means of functional damage by electromagnetic and laser radiation as deliberate destructive environmental influences that threaten to disrupt the stability of UAV control during automatic control. Depending on the probability of defeating a UAV after deliberate destructive influence of the external environment, there are formed zones that characterize the influence of influence means on the level of UAV combat capability. The determined acceptable level of stable control probability meets the requirements of a UAV combatready state. In order to ensure the required stability level of UAV control, the author used the principle of adaptive control that consists in changing the parameters of the UAV movement to implement the possibility of overflying dangerous zones. The calculation of the UAV motion control parameters used a mathematical model of the dynamics of the UAV lateral movement. The UAV motion control parameters are formed as a sum of program and corrective control calculated through the required motion parameters of the UAV. The proposed algorithm takes into account the possible intentional destructive impact of the external environment. It can be implemented using microcontrollers of modern UAVs and does not involve making changes to their design. The implementation of the algorithm in UAV automated control systems will effectively solve the tasks of aerial reconnaissance in counteraction conditions to calculate the required motion parameters and to control the UAV corresponding to the current situation.