Distributed feedback control for an Eulerian model of the national airspace system

Authors:
Jerome Le Ny;Hamsa Balakrishnan
Affiliations:
Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA;Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA
Venue:
ACC'09 Proceedings of the 2009 conference on American Control Conference
Year:
2009

Citing 4
Cited 2

Strategic flow management for air traffic control

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Modeling Air Traffic Management Technologies With a Queuing Network Model of the National Airspace System

Modeling Air Traffic Management Technologies With a Queuing Network Model of the National Airspace System
Control Techniques for Complex Networks

Control Techniques for Complex Networks

Brief paper: A linear programming approach to routing control in networks of constrained linear positive systems

Automatica (Journal of IFAC)
ADTOS: arrival departure tradeoff optimization system

Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming

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Abstract

This paper proposes an Eulerian model of traffic flows in the National Airspace System (NAS) and presents a distributed feedback control approach for managing the flows. The main contribution is the development of a model that reflects the way that air traffic controllers regulate traffic flows into their facilities, and of a feedback control approach that provides them with decision support, in a distributed manner that is consistent with the existing communication structure. The focus is on developing techniques that guarantee that the aircraft queues in each airspace sector, which are an indicator of air traffic controller workload, are kept small. It is shown that the problems of scheduling and routing aircraft flows in the NAS can be posed as the fluid approximation of a network of queues, and that under appropriate conditions, a MaxWeight policy can be used to determine a distributed feedback control law that stabilizes the system. Extensions to the problem of airport arrival/departure management, and to traffic flows that are driven by demand are also described.