The application relates to an air-ground cooperative navigation control method and
system based on global priori of an unmanned aerial vehicle and elastic preset performance tracking of an unmanned vehicle, and belongs to the technical field of autonomous navigation and cooperative control of unmanned systems. In view of the problems of a single
system, such as a large blind area of sensing, a prominent calculation
bottleneck, easy falling into a local minimum value in local
obstacle avoidance, weak anti-interference performance in trajectory tracking and waste of communication resources in a complex environment, a layered cooperative architecture is adopted, the unmanned aerial vehicle is used to complete mapping, two-dimensional projection and global path planning and issue a discrete topological path, the unmanned vehicle generates a local trajectory through
spatial domain robust
differential game, dynamic optimization is realized by combining elastic preset
performance control and internal and external double-loop
reinforcement learning, high-precision tracking and
global optimization of
energy consumption are realized, and an event triggering mechanism is used to reduce communication load. The application improves navigation reliability, trajectory stability and
resource utilization efficiency in a complex dynamic environment.