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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 ControlPrograms 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 • 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 • 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 • 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) • 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 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 • 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