Building Aviation Connectivity in Indonesia - Multisite ITB · KK DOPPT, FTMD-ITB...to better serve you design a solution for your operation and maintenance Hisar M. Pasaribu [email protected]

Building Aviation Connectivity

in IndonesiaResearch and Development Activities in

Aerospace Design, Air Transport Engineering

and Operations

Aircraft Design, Operations and Maintenance Research Division

Faculty of Mechanical and Aerospace Engineering

Institut Teknologi Bandung

Email: [email protected]

[email protected]

Hisar M. Pasaribu

“…to better serve you design a solution for your operation and maintenance”

Presented at APEN Asia Africa Aerial and Optical Silk Road ConferenceAula Barat ITB, 12 November 2015

mailto:[email protected]

mailto:[email protected]

KK DOPPT, FTMD-ITB ...to better serve you design a solution for your operation and maintenance Hisar M. Pasaribu [email protected] 2

Presentation Outline

A Brief Introduction to Department of Aeronautics and Astronautics, Institute Teknologi Bandung

Building Aviation Connectivity in Indonesia

AE Research and Development Activities

1

2

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3KK DOPPT, FTMD-ITB ...to better serve you design a solution for your operation and maintenance Hisar M. Pasaribu [email protected]

DEPT. OF AERONAUTICS AND

ASTRONAUTICS,INSTITUT TEKNOLOGI BANDUNG

A Brief Introduction to


Faculties and Schools

Faculty of

Art and Design

Faculty of

Civil and Environmental

Engineering

Faculty of Math and

Natural Sciences

School of

Architecture, Planning

And policy Development

School of

Pharmacy

Faculty of Mechanical

and Aerospace

Engineering

Faculty of

Industrial

Technology

Faculty of

Mining and Petroleum

Engineering

School of

Electrical Engineering

and Informatics

School of

Business and

Management

Faculty of

Earth Sciences

and Technology

School of

Life Sciences

and Technology

Institut Teknologi Bandung

KK DOPPT, FTMD-ITB ...to better serve you design a solution for your operation and maintenance Hisar M. Pasaribu [email protected]

Faculty of Mechanical and Aerospace Engineering

5

Number of Faculty

Total 84

Professors 12

Assoc. Professors 18

Assist. Professors 54

Research Divisions

Mechanical Design 12

Energy Conversion 21

Mechanical Manufacturing Engineering 9

Material Science and Engineering 13

Flight Physics 12

Light-weight Structures and Materials 9

Aircraft Design, Operations and Maintenance 8


Department of Aeronautics and Astronautics

Degree Programs Bachelor in Engineering

Master in Engineering

Doctoral Degree

Non Degree Programs Credit Earning Activity (Polman, LAPAN)

Training in Airport System (BPSDM)

Research Collaborations Agency for the Assessment and Application of Technology (BPPT)

National Aeronautics and Space Institute (LAPAN)

Research and Development Institute, Ministry of Defense

Research and Development Institute, Ministry of Transportation

PT. Regio Aviasi Industri (RAI)

Established in 1962

2 Main Streams in Study Programs:

Aeronautical Product Design

Aviation Engineering (Operations and Maintenance)


BUILDING AVIATION CONNECTIVITY IN INDONESIA

Some Notes on


Building Aviation Connectivity in Indonesia

8

Locally Integrated, Globally Connected

Airports

Service Improvement through the Use of Technology and

Qualified Human Resources

Supporting Infrastructure

Capacity Enhancement

(Airline, Airport and Airspace)

Reliable and Safe Air Transport Operators

Air Transport Networks

Connectivity relates to the ease with which people or goods can be moved between desired origins and destinations


AIR TRANSPORT ENGINEERING AND OPERATIONS

Research Activities in

9

Service Improvement through the Use of Technology


Design, Build and Installation of a Radar Data Processing and Display System (RDPS) at Medan Polonia Airport

Medan ACC (Area Control Center)Air Traffic Situation Display

Customer: PT. (Persero) Angkasa Pura II

RDPS is a computer-based tool for assisting air traffic controllers to monitor, control and guide air traffic in an airspace sector.

It tracks, processes, and displays traffic situation in a window-based control station.

It helps to provide safe traffic separation, thereby improving traffic flow and increasing airspace capacity.



The Radar Data Processing and Display System (RDPS) performs the following functions:a. Accept primary and secondary radar data from up to 16 radars;b. Process and format the data combined from all sensors for viewing on up to 20 consoles

in the Area Control Centre and remote sites; and viewing at an optional positions in the Control Tower;

c. Display the data at each user position (console);d. Accept flight plan data and combine with radar data;e. Provide Minimum Safe Altitude Warning (MSAW) and Short Term Conflict Alert (STCA),

and Danger Area Intrusion Alarm functions;f. Process user requests for data and control;g. Provide on-line validity checking and alarm;h. Provide on-line malfunction detection and alarm; andi. Provide fail-safe degraded mode operation and back-up.j. In addition to these functions each console (as an option) is capable of receiving radar

data directly from all radars. This is referred to as the bypass function.

RDPS Functionalities



System Configuration

The system has been in operation since 2007.

It provides control over airspace from Pekanbaruto Aceh, from Batam to Indian Ocean.


Development of Tunnel in the Sky for Flight Navigation in Indonesian Airspace

The objective is to provide pilots with information

of where the aircraft is relative to the desired

flight path and what action needs to be taken to

stay on course.

High quality situational awareness is required for

low flying through mountainous landscape.

The advent of light computer tablets with high

quality 3-D display processing capability can

provide low cost solution.

The system configuration:

13

Handheld GPS PC Tablet

Tunnel in the Sky

Flight Information

Data and display processing

Positional data sensor



The Enarotali-Timika route is used for system

verification and validation.

The tunnel size is designed based on the largest

type, Twin Otter aircraft.

The tunnels are positioned at 300 m. interval along

the routes, totaling 280 square sections.

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ENAROTALI

03 55 33.14 S

136 22 39.57 E

Papua

IslandTIMIKA

04 31 01.21 S

136 52 01.10 E

WAGHETE

04 02 37.20 S

136 16 34.79 E

TANJUNG

03 54 51.48 S

136 17 12.48 E

3,000 m SL

2,400 m SL

3000 m

open tunnel

for performing

turning maneuver

2000 m from RW 08



The tunnel design is verified through flight

testing in the Engineering Flight Simulator.

The route is flown by a single engine Cessna

172P Skyhawk.

To reflect real situations, a bad weather condition is used for the flight testing, in which fog covers the area resulting in much reduced pilot visibility.

15

TIMIKAInset (b)

Inset (a)ENAROTALI

TANJUNG

WAGHETE

Tunnels from the front view

Tunnels in the perspective view

Actual flight path in the Engineering Flight Simulator


AIR TRANSPORT ENGINEERING AND OPERATIONS

Research Activities in

16

Capacity Enhancement(Airline, Airport and Airspace)


Design and Analysis of a GNSS-Landing System (GLS) Approach Procedure at Jakarta Soekarno-Hatta International Airport

Simulated Flight Trajectory of an RNAV/GPS Approach to Runway 25R

Instrument Approach RNAV (GNSS) RWY 25L

Segment of the Approach Procedure

The objective is to analyze the effectiveness of a GBAS (Ground Based Augmentation System) -based precision approach procedure at Jakarta Soekarno-HattaInternational Airport.

The design of the precision approach procedure follows the ICAO PANS-OPS Doc 8168 Vo. II Part III Section 6.

OAS (Obstacle Assessment Surface) Template for Runway25R Aircraft Category C/D

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Simulation trackDesired track

Approach Trajectory to Runway 25L

Offline analysis with MatLab

0 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 16000

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

5500

6000

6500

7000

Time (second)

Altitude (

feet)

Altitude Flight Simulation APP07L

Simulator X-Plane

as Server LAN

HUB

Simulation Display

LAN Client-01 LAN Client-02

Web Server ITB

Simulator Client-Server Network

Flight simulation for verification and validation was performed using the X-Plane, Google Earth5 and MatLab/Simulink based Engineering Flight Simulator at the Aircraft Design, Operations and Maintenance Research Group, ITB

Simulation was performed using Boeing 777-200 aircraft

12

3 4 5

6

Flight Parameters were recorded for analysis.

Design and Analysis of a GNSS-Landing System (GLS) Approach Procedure at Jakarta Soekarno-Hatta International Airport


Development of Air Traffic Model at Jakarta Soekarno-HattaInternational Airport

There is a significant difference in capacity at SHIA as compared to other airports of similar layout.

Capacity constraint leads to air traffic congestion, thereby increasing operational costs and reducing safety and service levels.

To develop a realistic air traffic model at SHIA that can be used to establish scenarios for increasing capacity

Background

Objectives

The model is developed based on MatLab SimEventstaking into account:1. Airside configuration of the airport (runways,

taxiways, aprons, etc.)2. Air traffic procedure into and out of SHIA3. Traffic demand rate4. Safety standards in terms of aircraft separations

between various aircraft categories


Development of Air Traffic Model at Jakarta Soekarno-HattaInternational Airport

Different traffic scenarios can be analyzed to establish a procedure that can anticipate real changes in demand pattern

Results

0.00

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

18.00

50 60 70 80 90 100 110 120 130

Del

ay (

min

)

Movement

Delay vs Aircraft MovementEqual Departure:Arrival Demand Without Feedback

TOTAL DLA ARR DLA DEP DLA

Practical Capacity80 Mov/Hr

0.00

2.00

4.00

6.00

55 65 75 85 95 105

Del

ay (

min

s)

Movement

Delay vs Aircraft Movement 70:30 Departure:Arrival Demand

Ratio

ARR DLA DEP DLA AVG DLA

0.00

5.00

10.00

15.00

55 65 75 85 95 105

Del

ay (

min

s)

Movement

Delay vs Aircraft Movement 30:70 Departure:Arrival Demand Ratio

DEP DLA ARR DLA AVG DLA

Different feedback scenarios can be analyzed to establish a procedure that can anticipate real changes in demand pattern Increasing inter-arrival separation to ease

departure congestion Rerouting traffic to other waypoints in case of

side imbalance


Development of a Multi-Airport Simulation Model for Airport Slot and Traffic Disruption Management

Flight scheduling can be arranged to reduce traffic

congestion at busy major airports.

Rearranging flight schedules to and from busy airports

can reduce delays not only at the airports but also at

the other corresponding airports.

The study utilizes a multi-airport simulation model by

taking into account the corresponding airport

capacities, flight separation criteria, aircraft rotation

and expected flight delays.

The study performed at 6 busiest major airports in

Indonesia indicates that airborne delays can be

significantly reduced by slightly rearranging flight

schedules.

The model can be used to analyze the impact of

airline’s additional flight requests to the traffic

pattern.

0 1 2 3 4 5 >5

0

5

10

15

20

deviation from initial shedule (minute)

Am

ou

nt f

ligh

t fr

om

Fo

cus

Air

po

rt

DepartureArrival

21


Development of a Multi-Airport Simulation Model for Airport Slot and Traffic Disruption Management

The model is expanded for traffic disruption management in case of one airport is

suddenly unavailable for service.

The solution can be either rearranging flight schedules to and from the disrupted

airports or deviating ongoing flights to the alternate airports.

22

A-FA

A-FC

B-FY

B-FZ

003

301

221

813

303

231

821

004

308

227

851

007

234

Disruption Period

Disruption effected flight events

014

245

0

50

100

150

200

0 2 4 6

Axi

s Ti

tle

Disruption Duration (hr)

Number of Delayed FlightsCGK Closure at 07.00

Run1 Run2 Run3 Run4 Run5

0

5

10

0 1 2 3 4 5 6

Jum

lah

Rer

ou

ted


Number of Rerouted FlightsCGK Closure at 07.00


0

50

100

150

0 2 4 6

Jum

lah

Can

celle

d


Number of Cancelled FlightsCGK Closure at 07.00



Aircraft Flight Trajectory Reconstruction for Aviation Safety Analysis

Aircraft accident analysis has been heavily relied on data

recorder in the Flight Data Recorder and Cockpit Voice

Recorder (the so called black box) for establishing

accurate analysis of the probable causes of accident.

In the rare event in which the data in black box cannot be

recovered, available data from other sources can be used

to reconstruct the flight to provide clues as to what

happen leading to the accident.

The objective is to identify probable cause by establishing

the most probable flight scenarios.

Flight reconstruction is carried out in the Engineering

Flight Simulator by using data obtained from various

sources (radar track recording, ATC communication, etc.)

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118.45 118.5 118.55 118.6

-4.095

-4.09

-4.085

-4.08

-4.075

-4.07

-4.065

-4.06

-4.055

-4.05

-4.045

Latitude vs Longitude

Latitu

de [

deg]

Longitude [deg]


Aircraft Flight Trajectory Reconstruction for Aviation Safety Analysis

Several event and flight scenarios are established based

on the analysis of the available data.

The flight can then be reconstructed to closely follow the

trajectory.

Flight parameters are continuously recorded for off-line

analysis.

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0 20 40 60 80 100 120 1400

0.5

1

1.5

2

2.5

3

3.5

4x 10

4 Altitude History

Altitude [

ft]

time [sec]

0 20 40 60 80 100 120 140420

440

460

480

500

520

540

560

580

600

620Ground Speed History

Gro

und S

peed [

knots

]

time [sec]

0 20 40 60 80 100 120 140-10

-5

0

5

10Angle of Attack History

AoA

[deg]

time [sec]

0 20 40 60 80 100 120 140-5

0

5

10Beta Angle History

Beta

Angle

[deg]

time [sec]

Based on flight data analysis for the most probable

scenario, the probable causes of the accident can be

identified.


AEROSPACE VEHICLE DESIGN ANDENGINEERING SIMULATIONS

Research and Development Activities in

25

Service Improvement through the Use of Qualified Human Resources


Design of Trainer Aircraft

The project is sponsored by the Institute for Research and Development ,

Ministry of Transportation, Indonesia, for 3 (three) years (2013-2015).

The objective is to design and build a two-seat trainer aircraft prototype

for flight training.

2013: Conceptual design

2014: Preliminary design and manufacturing engineering

2015: Detail design and manufacture

MTOW = 650 kg.

Empty weight = 380 kg.

Wing area: 9.4 m2.

Engine: Avco Lycoming IO-320B 140 hp


Design of Trainer Aircraft

At present the activities include:

Preliminary sizing

Aerodynamic design and analysis

Flight performance, stability and control analysis

Preliminary definition of structural layout

Preliminary systems design

Budget and cost estimate

CL

CD

0.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

0.45

0.0 0.5 1.0

S h /

S

xcg / cbar

Stall Landing

take off rotation

Stick FixedManeuver PointDesain

Stick Fixed StaticStability

Control and stability analysis


Research and Development in Engineering Simulators

The objective is to use the simulator for cockpit familiarization and operational

training for pilots.

28

Development of WiSE Craft Engineering Flight Simulator

Marker

1. Development of out-of-window view :

Day and night out-of-window view

Test Area out-of-window view

Stall Warning Light

2. Development of audio system


3. Development of simulated instruments

WiSE EFS Cockpit Panel


Microcontroller on the board

Sofware Functional Test on Hardware System

5. Development of Q-feel System

4. Development of Simulation Software

Simulator Software on Matlab/Simulink Executable Simulator Software

SIMplifly.EXE

6. Integration



The WiSE EFS is extensively used for pilot familiarization

and training.

The EFS has been further developed to include other

aircraft dynamics and can be used for many purposes:

30

Fighter air combat simulation and analysis

Aircraft accident analysis

Flight verification and validation of a GNSS-based

landing approach procedure.


AEROSPACE VEHICLE DESIGN

Research and Development Activities in

31

Reliable and Safe Air Transport Operators


A collaborative research and development activity between the Aircraft Design, Operations and Maintenance Research Division and the Flight Physics Research Division of the Faculty of Mechanical and Aerospace Engineering.

Fully funded by the Agency for the Assessment and Application of Technology of Indonesia.

The aim is to provide a safe, fuel –efficient, high-speedtransportation mode between islands of Indonesia.

Research and Development in Wing-in-Surface Effect Technology


Wing in Surface Effect (WiSE) craft, or popularly known as

Wing in Ground Effect (WiG) craft is an air vehicle which

operates at very low-altitude to gain improved lift-drag

ratio by mean of a phenomenon known as ground effect.

This phenomenon leads to fuel efficiency and finally

reducing the flight cost

The research and development activities cover

configuration studies, design, analysis, and

manufacturing of sub-scaled and full-scaled models.

33



1. Studies on configuration designs, structures, performances, stabilities, controls, etc

3. Flight Testing of Remote Controlled (RC) models

2. Experiments and data gathering

4. Prototyping of 2-seater and 8-seater configurations

5. Flight Simulator Development



Concept validation is performed through design, build and flight test of remotely

piloted sub-scaled models of different configurations.

35

Rectangular Wing Configuration

Shouldered ReversedDelta Wing Configuration

Simple Reversed Delta Wing Configuration



The research concludes at design, analysis and manufacturing of a full-scaled 8-

seater WiGE craft

36


Documents

Building Aviation Connectivity in Indonesia - Multisite ITB · KK DOPPT, FTMD-ITB...to better serve you design a solution for your operation and maintenance Hisar M. Pasaribu [email protected]