Hierarchical, distributed and multiagent control for ATM - PowerPoint PPT Presentation

1 / 8
About This Presentation
Title:

Hierarchical, distributed and multiagent control for ATM

Description:

results: heavy workload for air traffic controllers, unnecessary ground and air ... 36th IEEE Conference on Decision and Control, San Diego, pp. 2405-2410, Dec. 1997. ... – PowerPoint PPT presentation

Number of Views:38
Avg rating:3.0/5.0
Slides: 9
Provided by: euroco
Category:

less

Transcript and Presenter's Notes

Title: Hierarchical, distributed and multiagent control for ATM


1
Hierarchical, distributed and multi-agent control
for ATM
B. De Schutter Control Lab, Fac. ITS, Delft Univ.
of Technology http//lcewww.et.tudelft.nl/deschut
t
  • Centralized vs decentralized control
  • Hierarchical control
  • Free flight
  • Hierarchical multi-agent control

2
Centralized vs decentralized control
  • on-line real-time control
  • modular, scalable
  • locally optimal performance
  • instability, conflicts
  • global performance
  • required information bandwidth
  • computational complexity
  • lack of scalability

3
Hierarchical control
  • compromise between centralized distributed
  • local controllers
  • higher-level coordination
  • safety global performance
  • tractable scalable

4
Current ATM limitations
  • predefined corridors ? inefficient airspace
    utilization
  • indirect routing, non-optimal altitude speed
  • trajectories do not exploit favorable winds
  • results increased flight time fuel consumption
  • ATM complexity
  • current ATM architecture is mainly centralized
    (USA)
  • results heavy workload for air traffic
    controllers, unnecessary ground and air holding,
    not fault tolerant
  • growing demand for air travel

5
Future concepts TomlinSastry
  • free flight
  • pilots determine own routes, speed, altitude
  • restrictions imposed in congested air space
    close to airport ? control tower
  • aircraft coordinate to predict and resolve
    conflicts decentralized ATM
  • benefits reduced flight times fuel burned,
    increased fault tolerance capacity
  • hierarchical multi-agent control

6
Hierarchical multi-agent control
7
Control design techniques
  • decision support systems heuristics, AI, fuzzy
    logic, scheduling, operations research
    optimization
  • multi-agent controllers game theory, automated
    learning, adaptive control, model predictive
    control
  • verification automata, hybrid systems

8
References (free flight multi-agent control)
  • C. Tomlin, G. Pappas, J. Lygeros, D. Godbole, S.
    Sastry, G. Meyer, Hybrid control in air traffic
    management systems, Proc. 13th IFAC World
    Congress (IFAC'96), San Francisco, pp. 127-132,
    June-July 1996.
  • G. Pappas, C. Tomlin, J. Lygeros, D. Godbole, S.
    Sastry, A next generation architecture for air
    traffic management systems, Proc. 36th IEEE
    Conference on Decision and Control, San Diego,
    pp. 2405-2410, Dec. 1997.
Write a Comment
User Comments (0)
About PowerShow.com