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Guidance and Control Programs at Honeywell. Sanjay Parthasarathy Honeywell Aerospace Advanced Technology October 11, 2006 sanjay.parthasarathy@honeywell.com. Update since Fall, 2005. Autonomous Systems programs Micro Air Vehicle (MAV) FCS Class 1 vehicle Increase endurance

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guidance and control programs at honeywell

Guidance and ControlPrograms at Honeywell

Sanjay Parthasarathy

Honeywell Aerospace Advanced Technology

October 11, 2006

sanjay.parthasarathy@honeywell.com

update since fall 2005
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 (P&C) 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
erasmus project 2006 2008
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

erasmus
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
en route air traffic soft management ultimate system erasmus
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 (CD&R) 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

erasmus objectives 3 applications
ERASMUS Objectives – 3 applications

Fullautomation pathLow

Subliminal control

ATC Autopilot

High

Machine

decision

Not Applicable

Enhanced MTCD

Low

High

Low

Humandecision

(ultimate control in any cases)

Courtesy of Eurocontrol

future research
Future Research
  • 4D Trajectory prediction and downlink to ATC
  • Optimal flight path generation for aircrafts in sector
    • CD&R
    • “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

Decel

RTA

T/D

Region of RTA

Speed Adjustment

RTA

First Constraint

or Speed Transition