Control of UAV Based on Biological Algorithm

This paper considers a development of a light source search model for the unmanned aerial vehicle (UAV) program control. The UAV is a quadcopter. The search model based on the Lotka- Volterra equations contains the trend to rotate to the left and trend to rotate to the right. Depending on the interaction of trends, the VAV rotates in one direction or another. The purpose of the search is a light source. The biological control algorithm is adapted for the quadcopter. The robot's algorithms have been developed for searching and tracking modes. The contribution of this paper is to propose the algorithm of actions in cases of search and loss of visual contact with the source. We provide the simulation of values change dynamics of quadcopter rotations trends. The simulation results demonstrate a high degree of entropy, which allows the quadcopter to explore a large area. The trajectory of the robot is constantly changing and depends on the location of other similar sources.