UAV cooperative control

Phillip Chandler, Meir Pachter, Steven Rasmussen

2001 · 178 citations · 4 references

Concepts

TL;DR

The paper develops cooperative rendezvous and target classification agents for unmanned aerospace vehicles within a hierarchical distributed control system. The approach employs Voronoi‑based polygonal paths to minimize radar exposure, coordinated exposure minimization under timing constraints, and template‑driven optimal trajectories with complementary aspect views combined statistically to improve target classification.

Abstract

This paper addresses the development of cooperative rendezvous and cooperative target classification agents in a hierarchical distributed control system for unmanned aerospace vehicles. For cooperative rendezvous, a Voronoi based polygonal path is generated to minimize exposure to radar. The rendezvous agent minimizes team exposure from Individual coordination functions while satisfying stringent timing constraints. For cooperative target classification, templates are developed, optimal trajectories are followed, and adjacent vehicles are assigned to view at complementary aspect angles. Views axe statistically combined to maximize the probability of correct target classification over various aspect angles.

References

4