Radar/Lidar Sensors SESAR XP1 Trials at CDG airport WakeNet-USA October 2012 Boeing, Seattle, USA

Transcription

1 Radar/Lidar Sensors SESAR XP1 Trials at CDG airport WakeNet-USA October 2012 Boeing, Seattle, USA

2 2 / Agenda SESAR P overview Organization Development plan Planning and Milestones System View Sensors for Wake-Vortex Hazards Mitigation on Airport : SESAR sensors trials at CDG Airport XP0 setup and main recommendations XP1 setup and initial results Complementary activities: FP7 Ultra-Fast Wind Sensor for Wake Vortex Hazard Mitigation project

3 3 / Project, Team & Interfaces Runway Wake Vortex Detection, Prediction and Decision Support Tools WP6.8.1 WP executed in tight interaction with operational project

4 4 / Project Phased Development Plan Wake Vortex Decision Support System is built in three iterative phases dealing with the three steps of the SESAR Concept Story Board TBS (Time Based Separation) step 1 Acquisition and processing of information about position, strength and behavior of wake vortex in case of significant headwind WDS (Weather Dependant Separation) step 2 Real time assessment of wake vortex position, strength; and prediction of wake vortex behavior to allow separation reduction; depending on weather conditions PWS (Pair Wise Separation) step 3 Demonstration of the system capacity to dynamically deliver separation per aircraft pairs; requires aircraft characteristics database (generation of wake vortex, sensitivity to wake vortex). Customization to different airports and runways configurations WVDSS is an enabler for validation of operational concept WVDSS pragmatic & iterative development WVDSS able to optimize runways throughput and reduce delays on different kind of airports as well as to be adapted to several runway configurations

5 5 / Global Planning Phase 1 Phase 2 Phase Sept Oct 2012 Full scale simulation model XP0 Trials Data acquisition: Sensors Benchmark (CDG ) WV sensors : X-band radar (mech scan) 1.5 m Lidar 2 m Lidars Weather Sensors : Ultrasonic Anemometers Lidar Wind Profiler UHF Radar Wind Profiler SODAR X-band weather radar XP1 Trials Partial prototype: «Off-Line» demonstration Time Based Separation (CDG ) WVAS System : Separation Mode Planner Wake Vortex Predictors WV Alerts Operator MMI WV sensors : X-band radar (Electronic scan) selected Lidar Weather Sensors : Selected Wind profiling sensors Model calibration & validation XP2 Trials Full scale prototype: «Shadow Mode» Weather Dependant Separation (CDG ) WVAS System : Separation Mode Planner Wake Vortex Predictors WV Alerts Operator MMI WV sensors : X-band radar (elec scan) selected Lidar Weather Sensors : Selected Wind profiling sensors Full scale updated prototype: «Shadow Mode» Pair Wise Separation ( Frankfurt ) WVAS System : Separation Mode Planner Wake Vortex Predictors WV Alerts Operator MMI WV sensors : X-band radar (elec scan) selected Lidar Weather Sensors : Selected Wind profiling sensors XP3 Trials Deployment at CdG of phase 1 prototype in September, 2012

6 6 / WVDSS Architecture for Phase 1 and beyond Meteo Centre ATC & Airport Systems Aircraft Characteristics + 4D trajectory Anemometers Local Meteo Sensors Wake Vortex Decision Support System WVAS Input / Output External Weather Meteo Observation UHF Wind Profiler SODAR/RASS Weather LIDAR 1.5 µm LIDAR X Band Radar Local Turbulences MHRPS Weather Nowcast & Forecast Calculation SWIM Weather Data Cube Weather Data Cube -6 SWIM Radar Fronṯ End Lidar Fronṯ End Separation Mode Planner WVAS_SMP (Wake Vortex Advisory System SMP) Input / Output Wake Vortex Predictor Monitoring & Alerting WVAS_MA (Wake Vortex Advisory System MA) Radar Wake Processing Electronic -scan Radar 1.5 µm WV Lidar Lidar Wake Processing Wake Vortex Sensors INT - Wake Plots Tracking SWIM 1 HMI Supervisor Approach Tower C M D D A R T 1 Depending on WVAS location I.e. Approach only, Tower & Approach, SWIM may be used Global system

7 7 / Simulation Platform - Test platform overview Test Tools Wake Vortex Tracker & Wake Vortex Advisory System Virtual Weather Data Generator Lidar Simulator Meteo Data Wake Vortex Location/Strength Proposed separation mode and minima Separation mode and minima selection Supervisor C M D Wake Vortex Sensors Wake Vortex Generator Simulator Radar Simulator Tracking Wake Vortex Advisory System WV Separation Advices WV Advices Approach D A R T Air Traffic Generator Traffic Data Analyze Monitoring & Control Display Tower HMI Off-Line / Analysis + FoM Technical Supervision Technical HMI

8 8 / Technical Controller HMI

9 9 / Optimal Deployment of Wake-Vortex Radar Sensors at CDG 4 areas : 2 CSPR x 2 operations mode for take-off/landing XP0 TRIALS XP1 TRIALS

10 10 / SESAR P : XP0 Sensors Deployment at CDG Airport Sodar UFR Radar Wind Profiler Anemometers Visibility Wake Vortex X-band Radar Wake Vortex X-band Radar Wake Vortex & Wind 1.5 mm Lidar Scanner Meteo-France C-band Radar 1.5 mm Lidar Wind Profiler Wake Vortex 1.5 mm Radar Scanner UFR Radar Wind Profiler

11 11 / Conclusion of XP0 Trials for Wake-Vortex Sensors Wake-Vortex Sensors Requirement Recommendations Thanks to XP0 results, it has been demonstrated that, in high altitudes, wake vortex behavior, being affected only by the wind, is predictable. out of ground effect, wake vortex predictors will be able to compute wake vortex behavior based on theoretical models. They need as input an accurate wind speed and direction. In these areas, no wake vortex monitoring sensor is recommended. On the opposite, close to the ground, where wake vortex behavior is affected by IGE, sensor-based wake vortex monitoring is mandatory. sensors scanning domain must be large enough to cover both landing & take-off. the best sensors position is demonstrated to be sideways, few hundred meters upstream from the touch down area. Left Vortex Right Vortex Out of Ground Effect In Ground Effect

12 12 / Conclusion of XP0 Trials for Wake-Vortex Sensors Wake-Vortex Sensors Recommendations The main results were convincing in terms of wake vortex detection: Most of wake vortices were detected in both critical areas The detection range has been demonstrated to be over the detection needs. wake vortex was detected as long as it was in the sensor scanning domain, except for some cases where detection algorithms must be tuned. Results show that RADAR and LIDAR are complementary depending on weather conditions: X-band RADAR performances are optimal under humid conditions LIDAR performances are optimal in dry air. Nevertheless, some improvements have to be done on these sensors to reach the performances needed by an operational system: Update rate needed to scan the Wake-Vortex 3D volume should be around 10 s. This capacity is already available for LIDAR, but should be developed for RADAR by Electronic scanning A gap in data availability has been observed in particular weather conditions, after rain when air has been cleaned from aerosols. Thus, the RADAR power budget must be increased in order for it to detect wake vortices in the whole domain where LIDAR data are not available. These development were already planned within the project. Thus, the campaign results confirm the theoretical analysis.

13 13 / XP1 Sensors deployment at Paris CDG Airport : Sept.-Oct Windcube 200s Lidar Coordinates: Lat.= 49 00' 06.10" N Long.= 2 36' 11.20" E E-scan Wake-Vortex radar Coordinates Lat.= N Long.= E Weather X-band radar Coordinates Lat.= N Long.= E A new multifunction X-band Radar with Electronic scanning capability is deployed for simultaneoulsy : Monitor Wake-Vortex close to the runways Assess Wind/EDR in the glide and around the airport Wind Profiler PCL1300 Lat.= 49 0'20.00"N Long.= 2 44'25.00"E HIGH POWER (Solid State GaN Emitters) ELECTRONIC SCANNING RADAR Observation Sector: Weather radar Observation Sector: WV radar (860m) Measurement plans (3):LIDAR (340m)

14 14 / Wake Vortex Radar processing: A380 [clear air] A380 passing initial vortices separation ~80 m inversion of radial velocities m/s Recording: 2012/09/21 m/s Zoom: range/doppler map Vortex 1 Vortex 2 30 s after A380 passing WV Detection plots

15 15 / UFO Goals UltraFast wind sensors for wake-vortex hazards mitigation Safety margin of Wake-Vortex Separations are dependent of Wind assessment accuracy UFO will improve the update rate and the accuracy of Wind assessment: to optimize this Safety Margin to generate Alert in case of abrupt wind changes UFO will study dedicated Wind sensors compliant with future Airport Weather operations requirements NOTA : Last ICAO recommendations for Wake-Turbulence hazards mitigation on Airport promote the use of X- band Radar (with Lidar). In ICAO 2012 Working Document for the Aviation System Block Upgrades, THE FRAMEWORK FOR GLOBAL HARMONIZATION, issued 17 JULY 2012 ( ), we can read in Annexe A on Module N B1-70 (Increased Runway Throughput through Dynamic Wake Turbulence Separation) : This capability will be provided by a combination of X-band radar and Lidar scanner technology. This new standard, readiness is scheduled by ICAO to be applicable as soon as 2018.

16 16 / FP7 UFO Study: Sensors Calibration with Airborne Measures Experimental aircraft with MET probes & ADS-B Emulator ADS-B/Mode S Downlink of MET Data (from experimental aircraft with Wind/EDR probes) Landing Inertialnavigation Airspeed-Vector GPS Airspeed-Vector Temperature, Humidity Radaraltimeter Airspeed-Vector Airspeed-Vector Thales Systems 29 th of February micron 3D Scanner Lidar (W200S, Leosphere) E-scan X-band Radar (THALES) 4D High Resolution Model of Convective Boundary Layer < 1500 m

17 17 / QUESTIONS BOEING B747-8 AIRBUS A380