THE MODELS OF AUTO TARGETING STRIKE UAV AT THE MOVING TARGET

Abstract

A special kind of use of UAVs as transport is their use to deliver the destruction means to the target on the battlefield, i.e. as strike unmanned aerial vehicles (UAVs), capable to inflict missile and bomb strikes on the enemy.
 Of particular interest are such drones, which do not require constant aiming at the target by the flight operator (ground pilot) with the help of a video transmitting system, but are targeted independently. Such UAVs have onboard a target sighting sensor (coordinator), with which the onboard control system determines the angular position of the target relative to the UAV. It is necessary to determine the most optimal targeting algorithms to be used in onboard control systems.
 UAVs due to the successful combination of cheap goods, technological availability and availability of other technical indicators (load capacity, efficiency and duration of flight, maneuverability) can be used as vehicles for cargo delivery. For example, UAVs are used to deliver ammunition and medicine to victims.
 The mechanism of the primary notification to the on-board control system of the UAV of the coordinates of the target to be hit, ie the task of "primary targeting", remains not completely solved by the technical and organizational task when using strike UAVs. Targeting methods using the on-board video broadcast system and direct commands of the ground pilot require, firstly, the installation of appropriate payload on board with an understanding of the loss of this equipment in combat use of UAVs, and secondly, effective avoidance of radio suppression by the enemy.
 The article presents the results of modeling with the help of Simulink models of the processes of guidance of a strike UAV with targeting on a moving aim by two methods: direct guidance and dynamic bias. The trajectories of UAV flights during diving to the target were obtained. The changes in the main working parameters during the guidance process were obtained as well. The conclusion about the advantage of the method of dynamic bias is made.