Simulation of UAV Intelligent Control System Based on Precedent Knowledge Base

The creation of remotely controlled and autonomous unmanned aerial vehicles (UAVs) is an extremely important direction in the development of small aviation. A significant increase in the autonomy and reliability of promising UAVs implies the need to develop a new generation of onboard control systems - intelligent control systems (ICS). The article proposes a variant of the ICS implementation based on a precedent knowledge base using production rules. The main source of replenishment of the database with dynamically changing data about the environment is a transponder - a device for receiving and transmitting special radio signals. The ICS is capable of automatically solving non-trivial intellectual tasks, including planning, aim-setting, forecasting and the formation of drone coalitions. This approach will be especially useful when solving a joint task with a large group of drones. For example, when monitoring the environment in the case of transportation of dangerous cargo by land transport.