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...
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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

2001 – 4055 - 5

guidance sequential conflict resolution Aerospace Engineering

PROJECT BACKGROUND broad approach  Traffic Agent utilizes free flight concepts: " Minimum airway structure " Enhance safety, flexibility, and optimality

 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

Rh = ( x1 − x2 ) 2 + ( y1 − y2 ) 2 Rv = z1 − z2

" IF Rh

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