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Guidance and Control Programs at Honeywell

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Title: Guidance and Control Programs at Honeywell


1
Guidance and ControlPrograms at Honeywell
  • Sanjay Parthasarathy
  • Honeywell Aerospace Advanced Technology
  • October 11, 2006
  • sanjay.parthasarathy_at_honeywell.com

2
Update since Fall, 2005
  • Autonomous Systems programs
  • Micro Air Vehicle (MAV)
  • FCS Class 1 vehicle
  • Increase endurance
  • Organic Air Vehicle 2 (OAV-2)
  • Phase 3a commenced
  • Obstacle Avoidance Demonstrated Successfully
  • Heterogeneous Urban RSTA Teams (HURT)
  • Planning and Control (PC) software
  • Coverage Planner, Vehicle Tracker developed
  • Successful Demonstration using 4 UAVs
  • Air Traffic Management (ATM) Modernization
  • Single European Sky ATM Research (SESAR) program
  • US Industry Input via Boeing, Rockwell-Collins
    and Honeywell
  • ERASMUS program kicked-off

3
ERASMUS Project 2006-2008
  • En Route Air Traffic Soft Management Ultimate
    System
  • Funded by European Commission
  • ERASMUS project proposes an air-ground
    cooperative work aiming at defining and
    validating innovative automation and concepts of
    operations for the En-route phase. The goal is to
    propose an advanced automation while maintaining
    the controllers in the decision loop.
  • Three majors applications are proposed to be
    investigated
  • Enhanced Medium Term Conflict Detection (MTCD)
  • ATC autopilot
  • subliminal control.

Team Lead EuroControl Industrial Partner
Honeywell Kickoff meeting May 11-12, 2006
4
ERASMUS
  • Hypothesis
  • Air Traffic Controller (ATC) perceives many
    situations as potential conflicts
  • Small changes in speed and/or Rate of climb can
    convert a conflict into a non-conflict
  • An auto-pilot for the ATC can reduce workload
    and increase safety
  • ATC need not consciously observe every small
    change to speed and altitude issued by the
    computer

5
En Route Air Traffic Soft Management Ultimate
System(ERASMUS)
  • Air Traffic Controller (ATC) perceives many
    situations as conflicts
  • Lacks precise knowledge of aircraft trajectory
  • Human Factors visualizes entire sector on
    limited screens
  • Lacks computational tools to advise if indeed
    there is a conflict
  • Staggers traffic resulting in
    inefficient operations
  • Small changes in speed and/or Rate of climb can
    convert a conflict into a non-conflict
  • Need better 4D Trajectory Prediction
  • Ground-based v/s on-board FMS
  • Weather and aircraft parameters are main
    variables
  • Need Conflict Detection and Resolution (CDR)
    algorithms
  • ATC need not consciously observe every small
    change to speed and altitude issued by the
    computer
  • Use 4D-trajectory predictions to optimize flights
  • Uplink minimal speed/altitude change
  • Human-in-the-loop subliminal control can be
    over-ridden

Eases workload and increases airspace capacity
6
ERASMUS Objectives 3 applications
Full automation path Low
Subliminal control
ATC Autopilot
High
Machine decision
Enhanced MTCD
Not Applicable
Low
High
Low
Human decision (ultimate control in any cases)
Courtesy of Eurocontrol
7
Future Research
  • 4D Trajectory prediction and downlink to ATC
  • Optimal flight path generation for aircrafts in
    sector
  • CDR
  • Green ATM
  • 4D Trajectory negotiation
  • Air-to-ground
  • Air-to-air
  • Dovetails with Required Time of Arrival (RTA),
    Required Navigational Performance (RNP)

Region of Off-Idle Descent
Cruise
Descent Mach
T/D
Descent CAS
RTA
Decel
T/D
Region of RTA Speed Adjustment
RTA
First Constraint or Speed Transition
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