Maritime Division DSTO A/Chief Kevin Gaylor Maritime Division - - PowerPoint PPT Presentation

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Maritime Division DSTO A/Chief Kevin Gaylor Maritime Division - - PowerPoint PPT Presentation

Maritime Division DSTO A/Chief Kevin Gaylor Maritime Division S&T Capability areas Naval Architecture Acoustic Signature Management Non-acoustic Signature Management Platform Survivability Maritime Autonomy Undersea Command and


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Maritime Division DSTO

A/Chief – Kevin Gaylor

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Maritime Division S&T Capability areas

Naval Architecture Acoustic Signature Management Non-acoustic Signature Management Platform Survivability Maritime Autonomy Undersea Command and Control Sonar Technology and Systems

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Maritime Division MSTC: NAVAL ARCHITECTURE

Platform System Analysis Seakeeping and Structural Response Power and Energy Systems

BATTERIES LOADING CHARGING USER INTERFACE Propulsion Motor Pmech w Pdraw DATA DC Motor Jeumont dual armature Rated : 5250 kW Propulsion Load v Pmech w DATA Maritime submerged Displ : 3300 tonnes Direct drive Prime Mover Pmech_rqst Fuel Fuel_rqst Pmech DATA Diesel Engine Hedamora Rated : 1475 kW Logged DATA Battery Converter PropMotor PropLoad HotelLoad Charger Generator PrimeMover FuelTank AIPSrc Hotel Load Pcons Pdraw DATA [DATA2] [DATA1] [DATA0] [instr2] [instr1] [instr0] [rqst0] [rqst3] [DATA9] [instr3] [DATA8] [rqst4] [DATA7] [DATA6] [DATA5] [DATA4] [DATA3] [rqst2] [rqst1] Generator Pelec_rqst Pmech Pmech_rqst Pelec DATA DC Brushless Generator Jeumont AHN 90BR4 Rated : 1400 kW Fuel Tank Fuel_rqst Fuel DATA [DATA2] [DATA1] [DATA0] [instr2] [instr1] [instr0] [rqst0] [rqst3] [DATA9] [instr3] [DATA8] [DATA7] [DATA6] [DATA5] [DATA4] [rqst4] [DATA3] [rqst2] [rqst1] Converter Pmotor Pdraw DATA 2 level PWM COLLINS field chopper Rated : 8000 kW Charger Pbatt_rqst Pgen Pgen_rqst Pbatt DATA N/A Rated : 6000 kW Battery AIP Charge Request (kW) PM Charge Request (kW) AIP Charge Input (kW) PM Charge Input (kW) Hotel Load Draw (kW) Converter Power Draw (kW) AIP Charge Request Prime Mover Charge Request DATA Basic mission profile Speed HotelLoad AIPCharge GenCharge AIP Source Pbatt_rqst Pbatt DATA Thermoelectric ThermoMAX Max : 70 kW 10
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10 10 1 Integral Gain I Proportional Gain P Phase Margin (degrees) INSUFFICIENT GAIN REGION UNSTABLE REGION STABLE REGION 20 40 60 80 100 120 140 160 180
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20 40 20 40 60 80 100 DBTT under explosive loading (Actual)

D 36: ANZAC Hull Steel

Explosion Bulge Test (Predicted) Dynamic Tear Data (Actual) Charpy Impact Data (Actual) Temperature [°C]

Structural Materials & Fabrication Systems

Partnerships And Outreach:

Universities Australian Maritime College University of Melbourne University of Wollongong DMTC Industry Defence Maritime Services Qinetiq / GRC Bluescope Steel ASC International TTCP MAT & MAR MARIN (Holland) ABCANZ

Research Leader

Dr Stuart Cannon Universities Australian Maritime College University of Melbourne University of Wollongong Successes HMAS Choules transformer investigation and analysis. Selection of D Grade Steel for AWD Improved structural reliability for the Armidale class Patrol Boats Aims: To ensure the RAN have platforms that are safe, efficient and sustainable for their desired

  • perational envelope
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Maritime Division MSTC: ACOUSTIC SIGNATURE MANAGEMENT

Acoustic Systems Acoustic Signature Control Hydroacoustics

Partnerships And Outreach:

Universities University of New South Wales Australian Maritime College Adelaide University University of Melbourne UWA Industry Fraser Nash ASC McKay Rubber QinetiQ International TTCP MAR MARIN (Holland) NSWC (USA) DE&S (UK) FOI (Sweden)

Research Leader

Dr Chris Norwood Successes Anechoic tiles for Collins class submarine Collins class noise reduction program FFG 7 rudder noise treatment Acoustic signature monitoring system for Collins class Aims: To control and manage the acoustic signature

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RAN platforms providing increased

  • perational

effectiveness and improved survivability.

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Maritime Division MSTC: PLATFORM SURVIVABILITY

Dynamic Military Loads Susceptibility and Signature Threat Analysis Vulnerability, Damage Control and Recoverability

Partnerships And Outreach:

Universities Australian Maritime College Victoria University RMIT University University of Greenwich Industry Widelinger UK ASC L3 QinetiQ International TTCP MAR and Weapons NSWC (USA) Dstl (UK) ONR (USA) DRDC (Canada

Research Leader

Chris Gillard (Acting) Successes Collins class hull valve Collins class shock trial MHC shock testing Warramunga crew fatigue study AWD fire modelling and fire protection JASSM vulnerability modelling and missile damage prediction Aims: To ensure the

  • perational

survivability and capability of RAN platforms.

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Maritime Division MSTC: NON ACOUSTIC SIGNATURE MANAGEMENT

Partnerships And Outreach:

Universities University of Adelaide Swinburne University University of Melbourne DMTC Industry Mackay Consolidated PPG, Akzo Nobel ASC BAE International TTCP MAT & MAR NATO SET ABCANZ

Research Leader

Leo De Yong Successes: Radar absorbing materials for Collins class submarines and surface ships RF interference shield for Anzac class New generation foul release coatings

  • n ACPBs with quantified fuel savings

Haze Grey colour for RAN ships Aims: To ensure the RAN have platforms that have improved

  • perational

performance and increased survivability as well as reduced cost of ownership. Electromagnetic Signature Control Specialised Coatings Corrosion Science Environmental Signatures

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Partnerships And Outreach:

Universities Sydney University UNSW New Castle University CUDOS Industry THALES Resonance Technology Kraken Sonar Systems International TTCP MAT & MAR NATO MCG3 ABCANZ Underwater Influences, Naval Mine Sweeping & Jamming Payload Sensors

Research Leader

Vacant Aims: To advance Navy’s capabilities through the use of modular portable unmanned systems with a focus on the littoral operating environment through the provision of technical advice and niche system development. Successes: Autonomous operation of a REMUS 100 through on-board decision making for adaptive search, detection and classification capabilities. Littoral environment characterization from hyperspectral data analysis. The development of naval mine sweeping and jamming systems.

Maritime Division MSTC: MARITIME AUTONOMY

Unmanned Systems & Autonomy

Partnerships And Outreach:

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  • Mine warfare began in 1776 when David Bushnell

invented “Bushnell’s keg”, which was filled with black powder.

  • Since World War II, more U.S. Navy ships have

been damaged or lost due to mines than to all other causes combined.

  • In past wars, a navy often discovered that an area

was mined only after a ship entering a minefield was sunk or damaged.

  • USS Tripoli –1991
  • Struck a mine off the

coast of Kuwait

  • 5 m x 7 m hole
  • Four serious injuries
  • $20M+ damage
  • USS Princeton

subsequently damaged by other mines while giving assistance

Some sobering facts about mines

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  • Mine countermeasures (MCM) remains a tedious,

labor-intensive, and dangerous job that puts personnel and vessels in harm’s way.

  • In March 2003, during Operation Iraqi Freedom,

REMUS 100 autonomous underwater vehicles (AUVs) were deployed to find mines in the port of Umm Qasr.

  • It was later concluded that each vehicle could do the

work of 12 to 16 human divers, and they were undeterred by cold temperatures, murky waters, sharks or hunger.

  • The locations of over 100 mines were mapped.

Unmanned mine-countermeasures

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Underwater robots to the rescue! But first, a few wrinkles…

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Off-the-shelf autonomy…

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User Interface Applications Middleware OS Hardware

  • The autonomy architecture resides onboard a

customised payload computer

  • The OEM vehicle computer and basic control

software remains untouched

  • This decouples the basic control of the vehicle

(speed, heading, etc.) from the intelligent autonomy

  • Changes in intelligent capabilities (behaviours) are

affected through the autonomy software

  • The payload computer is easily ported to different

platforms

  • Applications developed so far include robot

navigation, path planning, vehicle/sensor simulation, automatic target recognition (ATR) and more

Advanced, customised payload autonomy

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DSTO MCM payloads

  • Advances in embedded processing mean that sensor data

can now be analysed on-line via automatic target recognition (ATR) algorithms which can trigger intelligent vehicle behaviours.

  • At the same time, better sensors in the form of synthetic

aperture sonars (SAS) have become economical, giving higher image resolutions and unprecedented detection ranges for objects of interest.

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Firefly wreck Sound range hydrophones Possible mine shape Ladder (standing) Mixed bottom type Ladder (horizontal)

Imagery from Jervis Bay 23rd – 26th April 2013

  • Approximately 1.2 TB of data were

acquired during the Jervis Bay sea trial.

  • The effective half-swath range of the

sonar at the appropriate altitude exceeded 100 m.

  • The resolution achieved appeared to

be better than 5 cm, roughly in-line with the specified performance.

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  • DSTO instituted a competition for

producers of ATR software

  • DSTO dataset of 11,202 sidescan

sonar images – REMUS 100 @ 900 kHz; range 30 to 50 m

  • Training dataset and test dataset
  • Participants were invited to run their

ATR software through the test dataset and report their results

  • DSTO analysed detection

performance in comparison to human performance by RAN MW officers www.dsto.defence.gov.au/news/6989

The DSTO ATR Challenge - International competition

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  • Australia performed well in relation to other TTCP nations
  • In many cases, false alarm rates were significantly better
  • DSTO ATR is ready for use by the RAN

Results of TTCP comparative trials

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Opportunities for industry and academia

  • Unmanned and autonomous maritime systems are emerging

as crucial technologies for the future Navy.

  • Although the ADF has adopted a predominantly

COTS/MOTS approach to the acquisition of these systems, there are still significant opportunities for business and academic involvement in custom hardware, software and algorithm development.

  • Ultimately, autonomous systems and associated robotic

technologies will emerge as important sectors in the Australian economy.

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SONAR TECHNOLOGY & SYSTEMS MSTC

Passive Sonar (HMAS Stirling, WA) Active Sonar (Edinburgh, SA) Sonar Processing & Performance Analysis (Edinburgh, SA)

Partnerships and Outreach:

Universities

  • Sydney University
  • University of Melbourne
  • Adelaide University
  • Flinders University
  • University of Western Australia
  • Curtin University (CMST)

Industry & Government

  • Thales Australia
  • Raytheon Australia
  • Ultra (UK, CA, AS)
  • STN-Atlas
  • L3-Oceania
  • Boeing & In-Situ Pacific
  • CSIRO & Bureau Of Meteorology

International

  • TTCP MAR TP-9 (ASW Systems & Technology
  • Office of Naval Research (ONR) – HAASW PA
  • NUWC/NAVSEA – IAUWS PA
  • DRDC- A (Canada)
  • DTA (NZ)

Research Leader

Dr David Liebing

Successes

FOTA: World-first fiber-laser hydrophone towed array demonstration (DSTO-Thales) BSAPS/PANORAMA hull-mounted sonar processing system

  • Licensed to Thales Australia
  • RAN FFH/FFG class-wide fits
  • RNZN FFH ASW Upgrade

SENTINEL/AUSSnet undersea sensor network (DSTO & L3-Oceania) GODS: Collins Class Onboard Demonstrator

  • CCSM Sonar health monitoring
  • CCSM Custom sonar processing

Aim

Raise train and sustain a capability in undersea acoustic sensing and analysis that can be applied to assessing and improving current, enhanced and future ADF ASW requirements.

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25 50 75 100 125 150 175 200 200 Option Range Increase c.f. Option 2(%) Target 1 Target 2 Target 3
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UNCLASSIFIED

General Areas of S&T Interest

 Undersea sensing technologies  Sonar signal & information processing

  • Visualisation & display

 Sonar system simulation/stimulation  Assess & improve sonar performance

  • Human-in-Loop (HiL)
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UNCLASSIFIED

Example Experimental Capabilities

 Sonar Research Projector

  • At-sea measurements
  • Containerised, COOP-deployable

 Underwater Acoustic Scattering Lab

  • Precision, controlled measurements

 Acoustic Test Facility

  • General purpose underwater T&E (SA & WA)

 Deployable concept demonstrators

  • Third-party demonstration/evaluation

 Slocum undersea gliders

  • Long-endurance, unattended oceanographic

measurements.

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UNCLASSIFIED

Partnerships – One Example

 DSTO – Thales (Australia)

  • Long duration partnership in undersea warfare
  • Mine, submarine & anti-submarine warfare
  • DSTO focus: lower TRL, higher risk R&D
  • Thales : industrial prototypes; end-to-end system

development, test and evaluation; manufacture and customer support.

  • Staff exchanges, CTD program, etc.

 Examples

  • RAN Submarine towed acoustic array systems
  • Geophysical industry spinoff
  • RAN surface combatant sonar processing system
  • Sales to RNZN
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UNCLASSIFIED

Some Areas of Potential Partnership Interest

 Start small and grow  Energy from the undersea/ocean environment

  • Low-power, long-endurance unattended systems

 Undersea acoustic sensing technologies

  • Acoustic and non-acoustic

– Compact acoustic vector sensor technologies

 Sonar Signal & Information Processing

  • Target tracking, visualisation & display, sim/stim

– Exploit COTS (e.g. GPU) computing technologies

  • Human-in-the-Loop studies
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Maritime Division MSTC: Undersea Command & Control

Combat System Architectures Human Systems & Information Integration

Partnerships And Outreach:

Industry BAE Systems Lockheed Martin Raytheon Thales Ultra International TTCP HUM & MAR Groups NUWC / NAVSEA (USA) ONR (USA) SPARWAR (USA)

Research Leader

Dr David Kershaw Universities Australian Maritime College RMIT University of Adelaide Curtin University University of Western Australia Successes Insertion of Australian algorithms into the MK 48 HWT and the AN/BYG Combat system Improved weapon control displays for Collins Class submarines Improved signal libraries for RAN torpedo countermeasures Early Human Systems Integration advice for SEA 1000 Aims: To improve the RAN undersea warfare effectiveness through improving the collection, processing and exploitation of undersea tactical information by undersea platforms and systems. Underwater Weapon Systems

Information Load

Threat Signature

DSC MCC Search Periscope Attack Periscope EW1 EW2 Echo Sndr. Radar ECDIS Plasma CONTROL ROOM Plot Table GPS Rec. Off. Sonar1 Sonar3 Track Mgr TMA1 TMA2 Weaps Sonar2 Per. Asst Nav. Nav Asst AC PSC SCOOW Helm Sounder Operator UC1 CO DWEEO
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Acoustic Imagery Comms CMS Legacy Virtualised

Below Periscope Depth

Acoustic Imagery Comms CMS Legacy Virtualised

Below Periscope Depth

Acoustic Imagery Comms CMS Legacy Virtualised

Periscope Depth

Acoustic Imagery Comms CMS Legacy Virtualised

Periscope Depth

Acoustic Imagery Comms CMS Legacy Virtualised

Weapon Firing

Acoustic Imagery Comms CMS Legacy Virtualised

Weapon Firing

Mission Agility

Mission Agile Combat System Combat System Architectures Research

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Mission Agile Combat System

  • Underlying philosophy for our Combat System

Architectures program

  • Model behaviour to understand operational

implications, risks and issues with deployment

  • Investigating technologies for:

– Efficient implementation with a focus on Space, Weight, Power and Cooling – Obsolescence management – Enhanced distribution of processing requirements

  • Designing systems while being cognisant of

Cyber Security threats and implications

Applications Operating System

CPU RAM Disk

Physical

CPU RAM Disk

Hypervisor VM1 VM2 VMx Virtual … OS

Apps

OS

Apps

OS

Apps

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Human Systems & Information Integration

  • Endurance R&D

– Fatigue science to Habitation design: Maximise human performance

  • Information Integration R&D

– Situation Awareness and Automation: Knowledge in the Head (not the HMI) – Better harnessing automation – Efficient control room information flows for control room design

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Information Load

Crew Sizes?

Information Layer Sensors HMI

Best use of automation?

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Submarine Optronics

  • Effects of the atmosphere

– Measurement & Modelling

  • Sensor Effects Simulation

– Imaging sensor performance from saturation to extinction

  • Image Enhancement

– Fusion, Noise reduction

27 Visible, Monochrome EMCCD Infrared, Medium Wave Pixel Fusion

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UCC Future Directions

Submarine organic sensors and systems Submarine as a central node for off-board sensors and systems

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Questions?