In-Flight Wake Encounter Prediction with the Wake Encounter Avoidance and Advisory System (WEAA)

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Transcription:

In-Flight Wake Encounter Prediction with the Wake Encounter Avoidance and Advisory System (WEAA) Tobias Bauer, Fethi Abdelmoula Institute of Flight Systems, German Aerospace Center (DLR) WakeNet-Europe Workshop 2015 NLR Amsterdam April 22 nd, 2015

Outline - Motivation - Wake Encounter Avoidance and Advisory (WEAA) System Concept and Architecture - Experimental System Implementation - Flight Test Execution - Initial Flight Test Results for Conflict Detection - Conclusions / Further Work www.dlr.de Slide 2

Background Work at DLR: Warning and Avoidance in Presence of Atmospheric Disturbances Motivation: safety increase, all-weather capability enhancement known position / dimension strategic avoidance prediction / detection of hazardous disturbance large-scale disturbance e.g. thunderstorm small-scale disturbance unknown position / dimension or insufficient time-to-conflict (flight plan change) alerting / compensation by flight control e.g. wake vortex known position / dimension tactical avoidance (small-scale manoeuvre) www.dlr.de Slide 3

Tactical Hazard Avoidance Objectives: Wake Encounter Avoidance & Advisory (WEAA) - airborne system for tactical small-scale evasion from wake vortices to avoid possibly hazardous wake encounters - initially pure safety net function (no means of defining separation) - pilots situational awareness in case of a predicted, imminent or even current encounter is key issue - NB: wake encounter alleviation by F/CTL is not part of WEAA but can be integrated - DLR objectives: - system proof-of-concept under operational conditions - in-depth investigation of selected components - trade-off studies and benefit analysis ( future standards) www.dlr.de Slide 4

WEAA System Architecture: Functions - predict wake vortices from flight state and planned trajectories of surrounding aircraft using meteorological data - detect wake conflicts, using prediction of own trajectory, in connection with hazard assessment where required - generate evasion trajectory, taking into account terrain data and surrounding traffic - alert flight crew and guide required evasive manoeuvres (e.g. on PFD) - generate overview display to increase pilots situational awareness (e.g. on ND and VSD) www.dlr.de Slide 5

WEAA Flight Test Overview Objectives: feasibility demonstration: initial system functionality (wake prediction and conflict detection) under operational conditions allow analysis of requirements on wake generator and meteo data prerequisites establishment of necessary hardware and software infrastructure on board test a/c ATRA data reception and processing under real-life conditions controlled conditions for experiment usage of DLR s Falcon 20 as wake generator aircraft telemetry emulating ADS-B transmission from Falcon safe encounters due to relative sizes of aircraft 2014 campaign validation of meteo data fusion (industry subcontract), wake prediction and trajectory prediction in cruise flight deliberate wake encounters flown to confirm wake position contrail visibility required test of conflict detection (developed in industry subcontract) gathering of data for design of conflict resolution (evasion strategy) Airbus A320 D-ATRA encounter a/c Dassault Falcon 20E D-CMET wake generator www.dlr.de Slide 6

F/T-Campaign 2014 Hardware telemetry ATRA experimenter rack Falcon (generator) ATRA (follower) experimental cockpit display ADS-B IN Rx and telemetry www.dlr.de Slide 7

Aircraft Systems ADS-B Data Link Simulation Concept DLR s Falcon is not equipped with ADS-B OUT wake generator data transmitted via telemetry (with ADS-B resolution, accuracy, update rate) more accurate and comprehensive (inertial, meteorological) reference data recorded DLR Falcon Emulated ADS-B (Telemetry) DLR ATRA Position (Latitude, Longitude, Altitude) Ground Speed True Airspeed True Heading Wind Speed Wind Direction Aircraft Status part of the current ADS-B standard but not observed in practice (nor used in flight test) www.dlr.de Slide 8

F/T Campaign 2014 Overview - 3 test flights in April 2014 from Braunschweig - Falcon D-CMET as wake generator, A320 ATRA carrying WEAA system - contrail prediction allowing identification of favourable flight times and altitudes test area courtesy of DLR Atmospheric Physics - determination of altimeter offsets in formation flight at beginning of flight test (for reference only) www.dlr.de Slide 9

F/T Campaign 2014 F/T Execution - test execution in Temporarily Restricted Airspace (TRA) in North-Eastern Germany - in-trail flight with small encounter angles (blue pattern) - race-track pattern with wind-dependent orientation for generator aircraft Falcon and crossing of wake by ATRA at larger encounter angles (green patterns) space-fixed encounter point www.dlr.de Slide 10

F/T Campaign 2014 System Display Example: Crosswind own track prediction conflict position generator track prediction generator position current vortex wake (past) generator track time and distance to conflict www.dlr.de Slide 11

Prediction: Conflict with future wake vortex F/T Campaign 2014 Display Integration into ATRA Cockpit www.dlr.de Slide 12

Sample Encounter Video www.dlr.de Slide 13

F/T Campaign 2014 Sample Results (generator) encounter distance ~ 4 nm (follower) (generator) (follower) (generator) (follower) (generator) www.dlr.de Slide 14

WEAA Conclusions and Further Work Status - successful flight tests with ATRA and Falcon for operational wake vortex prediction, visualisation and conflict detection - 70+ encounters flown - high quality reference data available System Development Plans - extensive data evaluation - further development of meteo data fusion - investigation of requirements on trajectory prediction for use in conflict detection - study of avoidance functionality - prediction lead times (cf. RTCA WV TT) - generation of avoidance trajectories - display and flyability of avoidance trajectories (AVES simulator study) - trade-off studies for input parameter requirements - implications of emerging standards www.dlr.de Slide 15

Thank You Acknowledgements: Frank Holzäpfel, Thomas Immisch, Carsten Schwarz, Ingo Sölch www.dlr.de Slide 16