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Analysis of intrersecting flows of agents

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Conflict geometry. 2-D. Structured converging flows. pre-determined points of entry ... 3-D geometrical tool may help. MIT-LIDS. MIT-LIDS. Towards Free Flight... – PowerPoint PPT presentation

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Title: Analysis of intrersecting flows of agents


1
Analysis of intrersecting flows of agents
  • Eric Feron David Dugail
  • Mini MURI 03/02/02

2
Research motivation goals
  • Analyses of conflict resolution usually involve
    pairs or a finite number of aircraft
  • Need to address the fear of domino effect
  • one conflict resolution triggers a new conflict
    elsewhere possibly leading to divergence in the
    system
  • Analysis of aircraft flows
  • worst-case standpoint
  • Stability performance
  • simulations for insight on the system dynamics
  • analytical proofs

3
Background
  • A very rich literature on management of conflicts
    involving 2,3 or more but finite number of
    aircraft - Erzberger, Krozel, Kuchar,
    Niedringhaus, Sastry, Tomlin, Zeghal .
  • An equally rich literature on conflict management
    with aircraft flows - eg gas models - Bakker,
    Blom, Simpson Open-loop probabilistic models.
  • Very little available from current robotics
    literature
  • (Recent research by Ruspini, Devasia,
    Meyer,otherwise computational complexity
    results, eg Reif Sharir)
  • How does one prove stability, and bound required
    aircraft deviations, for conflict resolution over
    a class of closed-loop aircraft interactions in a
    deterministic setting?

4
A "Control Volume" approach
  • Motivation Infinite of aircraft flow in and
    out
  • Analysis of completely random aircraft flows is
    difficult
  • Need to structure the flows flow behaviors

5
A control volume approach
  • 2-D
  • Structured converging flows
  • pre-determined points of entry
  • regular or random entry
  • Aircraft make 1 maneuver when entering
  • maneuver is minimal
  • offset, heading change maneuvers

6
Heading Change vs. Offset Maneuver Models
7
Offset maneuver (2/2) (2 flows, decentralized)
  • 2 successive heading changes
  • Proof by contradiction
  • Upper bound on lateral displacement
  • dsep min. separation dist.

8
Conflict geometry
  • 2-D
  • Structured converging flows
  • pre-determined points of entry
  • regular or random entry
  • Aircraft make 1 maneuver when entering
  • maneuver is minimal
  • offset, heading change maneuvers

9
Conflicting flows
Distribution of deviations
10
Conflict analysis
Deviation angle is bounded by T
where dDsep/R
11
Other results
  • Bounds on lateral displacements for arbitrary
    encounter angle, speed, distance to conflict.
    Define
  • q Encounter angle, m v2/v1
  • Then lateral displacement maneuver amplitude for
    stream 1
  • is less than
  • with
  • Bounds on displacement for longitudinal/lateral
    maneuvers
  • (Independent utility functions for each aircraft)

12
Three flows (1/4)
  • Decentralized resolution
  • diverges
  • Centralized resolution (using mixed integer
    programming)
  • stable
  • exhibits particular structure

13
Three flows (2/4)
  • Idea
  • create a control structure
  • independent of flow
  • optimize it to decrease lateral distance from
    original flight path
  • Concept
  • three-flow compatible
  • aircraft are assigned conflict free spots

14
Three flows (3/4)
Structured solution
Mixed Integer Prog. solution
Results
  • a systematic way to deal with conflicts
  • only 30 higher deviation compared with MIP

15
Three flows (4/4)
  • Control structure
  • flow independent
  • optimized

16
Flow management a 3-D approach
  • How geometry and flow management merge ?

17
Analysis of robustness
  • Maneuver imprecision
  • leads to divergence in some scenarios
  • Aircraft position uncertainties
  • 3-D geometrical tool may help

18
Towards Free Flight...
  • Limited information
  • Situation is obtained by onboard device (radar)
  • control volume is attached to each aircraft
  • events happen anytime
  • Stability performance ?
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