Research on the Design and Path Planning of Child-mother UAV System for Search Task

Abstract

UAVs are suitable for performing Dull, Dirty and Dangerous tasks due to their small size, strong flexibility and good concealment. The search task is one of the most typical tasks of drones. However, due to the limitation of technology and cost, the existing UAVs usually have one or more restrictions on flight time, flexibility and versatility. This creates certain restrictions for UAVs to perform different types of search tasks in different situations. In order to improve this situation, this paper proposes a search task-oriented unmanned aerial vehicle system, and designs the workflow to adapt to different types of search tasks. And according to the characteristics of the task, different types of path planning methods are designed for the mother UAV and sub-UAV respectively in order to improve the autonomy of the system. Finally, simulation experiments are carried out on MATLAB software to verify the effectiveness of these two methods, and the conclusion and the next work of the system are given.