INTELLIGENT AGENT FOR AIRCRAFT COLLISION AVOIDANCE
INTELLIGENT AGENT FOR AIRCRAFT COLLISION AVOIDANCE AIAA-2001-4055
Surya Shandy and Dr. John Valasek
Aerospace Engineering AIAA GN&C Conference, Mont...
INTELLIGENT AGENT FOR AIRCRAFT COLLISION AVOIDANCE AIAA-2001-4055
Surya Shandy and Dr. John Valasek
Aerospace Engineering AIAA GN&C Conference, Montreal, Canada 6 August 2001
PRESENTATION overview PROJECT BACKGROUND PROBLEM STATEMENT AND RESEARCH OBJECTIVE METHOD RESULTS CONCLUSIONS RECOMMENDATIONS
Shandy & Valasek
2001 – 4055 - 2
Aerospace Engineering
PROJECT BACKGROUND general aviation free flight Primary goal is to enable free flight for General Aviation (GA) " " " "
A new way of managing air traffic Departure from the highly structured system to a more flexible system Pilot allowed to change route, speed and altitude, within limits Ultimate decision making authority lies with the air traffic controllers
Enhancement of current Air Traffic Control (ATC) safety and efficiency " Reduced work load for ATC " More flexibility in determining optimal flight path: significant economic benefits. " Pilots equipped with more options in the event of changing conditions
Shandy & Valasek
2001 – 4055 - 3
Aerospace Engineering
PROJECT BACKGROUND general aviation traffic avoidance DESIRED CAPABILITIES AND FEATURES " " " " " "
Ensuring traffic avoidance and separation in every flight Processing traffic information Presenting processed information to pilot Conforming and executing pilot’s decision Full authority for the pilot Automatic Data Surveillance-Broadcast (ADS-B) as the future of traffic information communication would be used in the design
Beech Baron
Rockwell Commander 700
Shandy & Valasek
2001 – 4055 - 4
Aerospace Engineering
PROJECT BACKGROUND agent based hierarchy " Weather Agent
L detect and avoid regions of severe weather
Executive Agent
" Terrain Agent Weather Radar Data Ground Weather Service
L prevent Controlled Flight Into
Other Traffic Information
Weather Agent
Other Weather Information
Traffic Agent
ADS-B
Terrain (CFIT)
" Traffic Agent
L detect and avoid traffic conflicts
ATC Radar
Flight Plan Info.
" Executive Agent
L arbitrator which determines flight L Shandy & Valasek
Air Traffic Control, pilot’s knowledge, and flight rules comprise knowledge base for agent development
Shandy & Valasek
2001 – 4055 - 6
Aerospace Engineering
SIMULATOR ARCHITECTURE data flow (direct/virtual) FLT SIM
PA
TCP/IP
TCP/IP
CMD GEN
HUD GEN
A/P
DSPLY HNDLR
FCS
FLT CTRLS
EQMO DSPLY HNDLR
FMI
COCKPIT DATA SIM SIM RADAR
SIM ADS-B
NAV MOD
WX AGT
TFC AGT
FLT PLN
FMS EXEC
DATA OBJ
FMS LOGIC HDD Left
PILOT
JPSN DB Dashed lines denote virtual connectivity. HDD Right
HUD
Shandy & Valasek
SIM CPDL
DSPLY HNDLR SPiFI
2001 – 4055 - 7
Aerospace Engineering
RESEARCH BACKGROUND previous efforts Conflict Detection and Resolution Modeling Categorized by Kuchar & Yang " Dimensions and States " Propagation method " Uncertainty factor " Metrics " Detection " Resolution " Maneuvers (horizontal, vertical, combination) " Cooperation (independent, cooperative) " Multiple Aircraft Handling (pair, multiple)
Shandy & Valasek
2001 – 4055 - 8
Aerospace Engineering
RESEARCH BACKGROUND traffic agent approach COLLISION AGENT " Utilize traffic state vector information " Data processing, determination of conflict(s) based on protected zone and alert zone calculation
AVOIDANCE AGENT " Check constraints on scheduling/prioritization, feasibility of maneuvers (vehicle operation envelope, flight rules, cost, comfort) " Handle conflict(s) depending on traffic scenario (tactics and maneuvers)
TRAJECTORY OPTIMIZER " Optimize problem and constraints for trajectory calculation
Shandy & Valasek
2001 – 4055 - 9
Aerospace Engineering
TECHNICAL DEVELOPMENT collision detection " Algorithm utilizes radius calculation coupled to prescribed rules to determine violation of protected zone and alert zone Alert Zone