Complexity in UAV Cooperative Control
Final rept. 1 Apr 2000-10 May 2002
AIR FORCE RESEARCH LAB (AFRL/VACA) WRIGHT-PATTERSON AFB OH CONTROL THEORY OPTIMIZATION BRANCH
Pagination or Media Count:
This paper addresses complexity and coupling issues in cooperative decision and control of distributed autonomous UAV teams. In particular, the recent results obtained by the in-house research team are presented. Hierarchical decomposition is implemented where team vehicles are allocated to subteams using set partition theory. Results are presented for single assignment and multiple assignment using network flow and auction algorithms. Simulation results are presented for wide area search munitions where complexity and coupling are incrementally addressed in the decision system, yielding radically improved team performance.
- Pilotless Aircraft
- Flight Control and Instrumentation
- Operations Research