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BAE Systems Naval ShipsDynamic Modelling and Simulation to Design, Integrate, and Assess

Performance of Naval Systems

Howard Williams, MEng MRAeS CEng

BAE Systems Maritime – Naval Ships Combat System

Peter Worthington, BEng MIMechE CEng

BAE Systems Maritime - Naval Ships

Content

• Introduction to Naval Ships

• The Application of:

• MATLAB and Simulink

• Simulink Coder and Embedded Coder

• MATLAB Coder

• Type 26 CS Performance Assessment

• Role of Combat Systems

• Role of Modelling

• Our Mission

• What we Model

7th October 2014© BAE Systems 2

Naval Ships - 7000 Employees across the UK


Rosyth

Filton

Portsmouth

Glasgow

Frimley

New Malden

Dorchester

Key Platforms

FAST ATTACK CRAFT

Displacement 720 ton

Length 62 m

Top speed 36 kts

Range 750 nm

Crew size 50

TYPE 45 DESTROYER

Displacement 7,500 ton

Length 152.4

Top speed 27 kts

Range 7,000 nm

Crew size 190

Embarked forces 30

TYPE 26 GLOBAL COMBAT SHIP*


Length 148 m

Top speed 28 kts +

Range 7,000 nm

Crew size 118

Embarked forces 72

Endurance 60 days

*Based on current concept design

QE CLASS AIRCRAFT CARRIER


Length 280m

Top speed 25 kts

Range 10,000 nm

Crew size 679

Embarked forces Up to 921

OFFSHORE PATROL VESSEL

Variant 90m

Displacement 1,800

Length 90m

Top speed 25 kts

Range 5,500nm

Crew Size 70

Embarked forces 50

Endurance 35 days

CORVETTE


Length 99 m

Top speed 25 kts

Range 4,500 nm

Crew size 103

Endurance 21 days

HMS Queen Elizabeth


THE APPLICATION OF MATLAB AND SIMULINKBAE Systems Naval Ships


MATLAB & Simulink Analysis

MATLAB and Simulink products replaced Fortran in the early 90s. Typically used by

specialists to analyse systems within the naval domain.

• Replenishment at Sea (RAS)

• Loading/loading of Landing Craft

• Aircraft Carrier Steam Systems

• Shock Mounting System Assessments

• Helicopter Lashings


Helicopter Handling Analysis

‘Shipborne handling arrangements require a capability to capture, move and

restrain aircraft of one or more types in high sea states and adverse weather

conditions’

Overview

• Simulation developed in MATLAB and Simulink

• Generation of extreme sea state conditions

• Validated baseline Simulink model

• Additional modules added to a baseline model

• Visualisation used to illustrate results

• Used to support platform safety case development


Analysis Overview


Summary Points

• Integral part of acceptance process

• Enabled examination at extreme Sea States

• Confirmation of the acceptability of dynamic loads

to the Aircraft and Ship Design Authorities

• Definition of safe operating limits

• PRISM System accepted into service through

simulated trial

• Cost effective as simulation reduced the sea trial

requirement


0 20 40 60 80 100 120 140 160 1801.2

1.3

1.4

1.5

1.6

1.7x 10

4

Encounter Angle (degrees)

Forc

e (

N)

Minimum Reaction Force

10 knots

15 knots

20 knots

25 knots

0 20 40 60 80 100 120 140 160 1802

2.05

2.1

2.15

2.2x 10

4


Forc

e (

N)

Maximum Reaction Force

10 knots

15 knots

20 knots

25 knots

0 15 30 45 60 75 105 120 135 150 165 1800

0.5

1

1.5

2

2.5

3x 10

4


Forc

e (

N)

Wire Maximim Force

25 knots

20 knots

15 knots

10 knots

THE APPLICATION OF SIMULINK CODER

AND EMBEDDED CODER

On-Board Training Plant Simulation


Type 45 Platform Management System (PMS)

• Used to control and monitor plant, fire/flood alarms and tank contents etc.

• Plant auto-start to maintain pressure, electrical supply etc.

• Automatic system reconfiguration, system interlocks, start/stop sequencing

• Weapons management support

• Distributed across platform for “Graceful Degradation”

• 13,500+ control and monitoring signals

• 300+ screens


Type 45 PMS On-board Trainer


Ship Control Centre

TanksPumpPLC

Server

ValvesDG

Zone Control Posts

• Utilises any of the PMS workstations

• Flexible Instructor fault insertion and control

• Maintain PMS look and “feel real”

• Coverage: 16 Systems

• PMS Trainer integrated into every Type 45

• Shore-based Trainers at HMS Phoenix and HMS Sultan

• 530 Faults - e.g. ruptures, floods, trips etc.

• 20+ Hardware Outstations e.g. DG, GT and HV Panels

Why Simulink and Embedded Encoder?

Simulink?

• Simulink used within the group ‘our tool of choice’

• Simulink environment increases flexibility, allows Mechanical, Electrical and Software

Engineers to work together

• A high level description that can be run, tuned and tested

Simulink Coder and Embedded Coder?

• Generated code executable exactly as the Simulink model

• Enhanced code performance with no dependency upon Simulink model

• No baggage in the form of Windows references

• Embedded Coder chosen to minimise local variable memory ‘mushrooming’

• Generated code easily tailored for external control and initial states.


Modelling Methodology


)( uefwdDGLossTorqfwdLoadTorquedDGTorquefwKdt

dFd

dfwd

Where Kd = (1000/(2p*InertiaDG)SRS

Simulink

Model

Model

Response

1195

59.7 Hz1188

59.4 Hz

1247

62.35 Hz

Simulink

Output

Plant Simulation

DLL

Auto code

Generation

C++

Code

DG FAT

Data

Modelling Comments

• Individual system models developed and tested before integration

• Consolidated test harness used for overall system

• All faults represent a physical event e.g. fuel supply pipe rupture causing a diesel

to stop, diesel tank to empty and the bilge to fill.

• Discrete time step – auto coding requirement!

• Goto/From tags used extensively within model to reduce complexity

• All tags and scopes generated automatically from PMS specification

• Hierarchal cascade of library systems and components

• Large initialisation state incorporating an automated capture process


In Summary

• Concurrent development with Type 45 systems

• Common Ship/Shore based Plant Simulation Model

• 16 Systems, 10000+ I/O and 530 Instructor Faults

• PMS, Instructor and Local Control

• 14 Local Control Panels and Outstations

• Approx. 250,000 lines of ‘error free’ c code generated

• Cost effective code generation – 3 man project team

• The design resides within the Simulink model and not the c code

• Plant simulation executable much smaller and more efficient than Simulink model

• Fast turnaround – functionality changes approx. 1 day


THE APPLICATION OF MATLAB COMPILERApplication Development


TRACIT Combat System Analysis Tool

Provides graphical and statistical information characterising the performance of

sensors and Command System

• Developed using MATLAB

• Deployed using MATLAB Compiler

• Compares sensors with true data

• Capable of handling large data sets

• Fast and versatile analysis


Using TRACIT

• Provides a rapid and reliable Combat Systems assessment within hours of the data being

made available

• Provides an indication of Tactical Picture Quality by a single number with readily understood

charts and animations

• Easily adapted to Combat Systems with differing sensors etc.

• Process uses data recorded entirely within the platform under test and does not require the

use of expensive 'ground truth' data

• Tactical Picture quality can be assessed without the need for an expensive formally

constituted trial

• Used primarily to generate evidence from trials to support system acceptance


Shock Mounting Assessment Tool

• Interface developed using MATLAB Guide

• Underpinned by a MATLAB 6DoF model

• Compiled application deployed directly into project

• Automated and standardised reporting


Shock Mounting Assessment Tool

• Created an effective, efficient and repeatable design process

• Designers have access to a specialist mounting system design tool

• Design assessment integral to the design process

• Provided an audit trail for mounting system acceptance

• Reduce the cost of mounting design and re-work

• Commonality of mount design reduced through life platform costs


Howard WilliamsBAE Systems Maritime – Naval Ships Combat System

T26 Combat System Performance Assessment Manager

• Role of Combat Systems

• Role of Modelling

• Our Mission

• What we Model


Role of Combat Systems

• Integral Part of Naval Ships

• Provide System Solutions for UK & International Programmes

• Combat systems integrators of own products & other defence companies

• Understand individual & composed systems

• Harmonise systems at each level of composition

• Achieve optimal performance

Effectors

Sensors

CommunicationsIntegrated Bridge

Combat Management

System

Information &

Distribution Systems

Organic Assets

HMInt.


Role of Modelling

• Assess the Combat System at varying levels of system composition & provide disclosure of

expected performance through life

• To manage the customer

• To understand performance sensitivity

• To support the engineering team

• Traditionally Achieved:

• Islands of specialist tools

• Limited Integration

• Large volume of data transportation & translation

• Large volume of qualitative post processing

• Vital to change this methodology “Combat Systems Role: Integrator of systems”


• Combine these tools under a Unified Ship Integration Modelling Tool

• Integrated with System Engineering Tools

• Push the tools to the front line

• Deliver through life product understanding to the customer

• Continually Enhance & Develop the tools capability

Our Mission

Integrated Architectural

Framework


Modelling - Assessment Framework


Modelling


Modelling – Interfaces (Data)


TRACIT

SADM

Modelling– Interfaces (Tools)

HMI

CMS

UNISIM

Interface Data


How we Deliver- UNISIM ApplicationModels Functionality Embedded in Intuitive UI

• Utilise New Application functionality

• MATLAB Graphics

Through-life Deployment Package underpinned by MathWorks products

• MATLAB Compiler

UNISIM Developer

UNISIM Deployed

UNISIM Packaged


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