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| Meeting | ACGS Committee Meeting 108 - Gettysburg - October 2011 | | Agenda Location | 11 SUBCOMMITTEE E – FLIGHT, PROPULSION, AND AUTONOMOUS VEHICLE CONTROL SYSTEMS
11.1 Coordinated road search using multiple UAVs | | Title | Coordinated road search using multiple UAVs | | Presenter | Naira Hovakimyan | | Affiliation | University of Illinois | | Available Downloads* | presentation | | *Downloads are available to members who are logged in and either Active or attended this meeting. | | Abstract | Time-Critical Cooperative Path Following
of Multiple UAVs over Time-Varying Networks∗
E. Xargay † I . Kaminer ‡ A. Pascoal § N. Hovakimyan ¶ V. Dobrokhodov k
V. Cichella ∗∗ A. Aguiar †† R. Ghabcheloo ‡‡
This paper addresses the problem of steering a fleet of UAVs along desired paths while
meeting stringent spatial and temporal constraints. A representative example is the chal-
lenging mission scenario where the vehicles are tasked to cooperatively execute collision-free maneuvers and arrive at their final destinations at the same time (time-critical operations). In the setup adopted, the vehicles are assigned nominal paths and speed profiles along those. The paths are then appropriately parameterized and the vehicles are requested to execute cooperative path following, rather than “open loop” trajectory tracking maneuvers.This strategy yields robust behavior against external disturbances by allowing the vehicles to negotiate their speeds along the paths in response to information exchanged over the dynamic inter-vehicle communication network. The paper addresses explicitly the situation where each vehicle transmits its coordination information to only a subset of the other vehicles, as determined by the communication topology adopted. Furthermore, we consider the case where the communication graph that captures the underlying communication network topology is disconnected during some interval of time or even fails to be connected at all times. Conditions are given under which
the complete time-critical cooperative path-following closed-loop system is stable and yields convergence of a conveniently defined cooperation error to a neighborhood of the origin. Flight test results of a coordinated road search mission that exploits the multi-UAV cooperative control framework developed in the paper demonstrate the efficacy of the developed algorithms. |
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