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Model-Based Design Conference 2005

Abstracts


Day 1: Keynote: The Facets of Model-Based Design

Speaker: Sanjiv Sharma, Airbus

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Model-Based Design (MBD) is more than solving differential equations. MBD encompasses the through-life activities of the people who undertake processes, using the methods, the tools and guidelines to develop a complex system, using models to explore the problem and solution design spaces.

In this paper, two model genotypes are considered, static and dynamic. The static models are descriptive, whilst the dynamic models are predictive. A through-life view is given showing the role of MBD as a paradigm for systematically understanding the problem, generating competing concepts, evaluating and successively selecting the most appropriate solutions.

Day 1: Conference Sessions - Model-Based Design for Control

Introducing New Technology to Existing Legacy Projects

Speaker: Dave Davies, MBDA

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Computer models of complex guided weapon systems provide key tools to support the system development and to determine system performance alongside flight trials. Project lifetimes for large systems development can extend over several years and give few opportunities for the insertion of new technology. MBDA.UK has developed, with The MathWorks, a strategy for the development of simulation tools to provide bridges between existing legacy modelling tools and new technology. The strategy has taken advantage of a strong, functional based, modelling organisation that provides modelling engineers and techniques to all projects. This has enabled the company to make the new technology available to all projects at the same time. In parallel, a training programme has been devised to raise the capabilities of engineers in the new technologies, and a new approach to licensing the tools will ensure that all of the tools are made available to all engineers.

Model-Based Development for Automotive Body Systems

Speaker: Pete Bennett, Jaguar Cars

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A vehicle's Electronic Body Systems (EBS), e.g. exterior lighting and windscreen wipers, are often taken for granted and yet they are arguably the electrical functions which are most visible to the user. These functions, when developed correctly, provide a vital area in which to reinforce the users' perception that the vehicle is a "quality product". However, incorrect development or implementation can significantly reduce the users' satisfaction. In recent years Jaguar and Land Rover (JLR) have used The MathWorks toolset throughout the entire development cycle for these functions to address these challenges.

Using The MATLAB Toolset To Improve Efficiency In The EOBD Calibration Process

Speakers: N. Wright & R. J. Drane, Ford Motor Company

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There is a need in the Motor Industry to drive down development costs by reducing the amount of testing required and reducing the reliance on expensive prototype vehicles. In order to achieve this goal new innovative processes must be developed with increased use of CAE tools and desktop calibration. Ford Motor Company with the Mathworks has developed a suite of tools to enable reduced testing, increased proportion of desktop calibration and a significant increase in test data reusability within the EOBD calibration process.

The new process makes use of Simulink strategy models with a user friendly front end GUI to enable easy desktop calibration and validation, a new data editor tool to enable fast batch processing of recorded calibration data, the use of MBC toolset to develop accurate surface models of key EOBD control system characteristics and CAGE to populate calibration parameters from the MBC models.

This paper will give an overview of the process and tools giving some practical examples of their application.

De-risking Integrated Full Electric Propulsion by use of The MathWorks tools

Speaker: Paul Norton, MoD

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The Marine Electrical Systems Integrated Project Team (MLS IPT) is responsible for Naval marine power systems within the Warship Support Agency, UK Ministry of Defence.

The MoD now favours selection of Commercial Off The Shelf (COTS) technology wherever possible. The use of simulation is a cost effective way to assist in the best selection of COTS technology and its integration to form ship systems. The MoD has recently started procuring Integrated Full Electric Propulsion (IFEP) vessels. Vessels which utilise COTS technology wherever possible.

With the advent of IFEP the correct operation of the electrical power system underpins all essential functions of the ship. To support IFEP vessels a modelling environment which permits multi-domain simulation is therefore essential - electrical systems, mechanical systems and the ship's hull hydrodynamics all interact to characterise the performance of the vessel as a whole. The models can also act as a resource when issues arise on in-service vessels and modifications become necessary: a simulation provides a useful mechanism to evaluate possible remedial action.

The Utilisation of The MathWorks tools enabling the realisation of production ready, safety critical solutions for Military Navigation, LOS Stabilisation and Ballistic Fire Control

Speaker: Matthew Love, Thales Optronics

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This presentation will describe the development of a new system being deployed by the British Army in Warrior and Scimitar Armoured Fighting Vehicles. The key aspect of the presentation will be the design flow using the suite of MathWorks tools. The presentation will illustrate the use of these tools throughout the whole design cycle, covering aspects from error budget analysis (allowing cost effective hardware design choices), through to safety tested real time code used in the final production solution. The design choices, constraints, benefits and tailoring of various parts of the overall design cycle will be elucidated. Hopefully, engineers and system architects, if undertaking a similar design cycle, will gain awareness of the benefits and some of the challenges of this.

Autocode, Autoprove

Speaker: Nick Tudor, QinetiQ

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This presentation will show the details of a comparison between conventional software development with software development using automatic code generation from Simulink and mathematically based code verification (proof) for safety critical applications. A real industrial scale, safety critical system was used as the basis for the comparison in order to validate results. The project showed how to integrate the techniques into existing development processes and indicated where processes could be streamlined. The results were positive indicating the potential for reductions of the order of 50% or more in software life cycle costs. The work is currently being extended to provide a similar capability for Stateflow and this work will be described. All of this work is aimed at allowing developers to use The MathWorks tools as they evolve (within certain practical constraints) whilst ensuring that system and software developers reduce project risk through the introduction of fast, robust, qualifiable tools.

Day 1: Master class Track - Model-Based Design for Signal Processing and Communications

Master class 1: Developing Video and Image Processing Applications in Simulink


In this Master Class, you will learn how to develop real-time video processing systems using Simulink and Model-Based Design. The emphasis will be on prototyping video and image processing applications using Simulink, the Signal Processing Blockset, and the Video and Image Processing Blockset, then automatically generating efficient code for a DSP chip using Real-Time Workshop. You will learn about key aspects of system design, floating-point to fixed-point conversion, and interactive visualisation and verification of simulation results.

Master class 2: Specification and Development of a Wireless Communication System


This Master Class will present the application of Model-Based Design to communication system design, using the example of the ETSI HiperMAN physical layer standard.  We will demonstrate efficient ways to transform the published standard into an executable specification using MATLAB and Simulink.  Using the end-to-end model as a test harness, we will show how to elaborate the design of key signal processing subsystems, including techniques for modelling frames and handling rate conversions.  The insights you gain from this class will help you to develop clear and comprehensive models to support your design, development, and testing efforts.

Master class 3: Fixed-Point DSP Modelling, Code Generation, and Verification for FPGAs


This Master Class will demonstrate the development of a signal processing application using Model-Based Design by showing, step-by-step, the specification, design, simulation, code generation, and verification of a high-speed digital “front end” for a software-defined radio (SDR) application.  We will demonstrate the design of fixed-point, multirate filters for digital down conversion; validation of the design via MATLAB simulation; automatic generation of VHDL; and verification of the HDL model through co-simulation, using Simulink and ModelSim.  Fixed-point scaling and hardware pipelining will be utilised to achieve an efficient and practical implementation in silicon.





Day 2: Keynote: The Application of Model-Based Design within
BAE Systems Avionics Group

Speaker: John Maclean, BAE SYSTEMS Avionics

The need to pick the right solution, the need to quickly and efficiently deliver the concept as a working implementation, and the need to maintain the design throughout the product’s operational deployment were all key drivers in BAE Systems Avionics Group’s adoption of Model-Based Design. These issues, combined with the necessity to balance cost control with effective management of ever increasing design complexity provide key challenges for all of today’s leading aerospace and defence companies in delivering complex high performance integrated solutions. This presentation illustrates how BAE Systems Avionics Group has adopted Model-Based Design to meet this challenge and support collaboration across its engineering group. The presentation will describe how the application of Model-Based Design has facilitated rapid design, whilst at the same time improving reliability and minimizing risk.

Day 2: Conference Sessions - Model-Based Design for Signal Processing and Communications

Paving the way to 4G Wireless systems with Simulink

Speaker: Thierry Lestable, Samsung

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Designing next generation wireless transmission systems requires researchers from the Advanced Technology Group (ATG) in Samsung Electronics Research Institute (SERI) in UK, to deal with leading edge technologies from Physical layer to upper layers.

In order to unify baseband algorithm development, and to establish durable consistency in the physical layer research direction, the ATG decided to migrate all their algorithms to one common platform, Simulink.

As a partner in major European Union cutting edge research projects (Winner & Magnet), Samsung UK wanted to push this platform for adoption by its partners, in order to finalize a software library development to be integrated under Simulink.

As a contributor on physical layer study items, ATG is particularly involved in the coding/decoding group, together with MC-CDMA cluster. The coding-spreading trade-off with major coding scheme candidate for 4G is of high interest.

Within the MC-CDMA study context implementation of generic multi-user environment, enables to study the sensitivity of detection algorithms (SUD, MUD) with respect to the Multiple Access Interference (MAI). Indeed, ATG is investigating new Interference Cancellation (IC) algorithms with hard detection, but also with soft information obtained from several coding schemes (CC, PCCC, LDPC…).

Wireless Technologies OFDM Simulator Design

Speaker: Mathieu Varlet-Andre, BT Exact

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In the area of wireless technologies, it is important to identify key trade-offs; and simulations are useful for that.

With the emergence of new standards and technologies, such as WiMAX (IEEE 802.16), BT is interested in evaluating resulting new business opportunities. Therefore, a simulation tool has been developed using Simulink, which calculates the bit-error rate according to the signal to noise ratio. The model, which can be run for various modulation and FEC schemes, is based on the Orthogonal Frequency Division Multiplexing (OFDM) PHY layer, using 256-FFT points.

These results then allow the estimation of available bit-rate in various channel conditions.

The Application of MathWorks tools in the Architecting of Mobile Phone Radio Frequency ICs

Speaker: Mike O’Brien, Freescale Semiconductor

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The architecting, design and verification of radio frequency integrated circuits (RFIC) for the mobile phone market is becoming increasingly demanding due to the shrinkage of both product cycles and margins. The Radio Products Division of Freescale has adopted the MathWorks tools as an essential component in its ‘New Product’ flow. This presentation will focus on how the tools have been used during the architecting of the Power Amplifier control loop for the next generation of Freescale’s GSM RFICs. After introducing the system and outlining the relevant specifications it will be shown how the MathWorks tools were used to develop a full system model that was used extensively during the architecting and verification phase. In particular, it will be shown how the script based MATLAB tool was central to the early analytical based investigative stage and how Simulink was ideal for the time domain simulations of the system.

The Design Flow, from System Modelling to Implementation

Speaker: Zia Al Rehman, Nortel

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Within Nortel, Wireless Technology Labs provide enabling technologies for Nortel's wireless development. This presentation will discuss the use of model based design in signal processing and communications. Models are designed and simulated using Simulink from The MathWorks and Altera's DSP Builder, which sits on Simulink. The designs are used in the development of Nortel's Wireless Technology. The presentation will also discuss the design flow used successfully from system modelling to implementing the design into an Altera FPGA, and the benefits and drawbacks of using this design flow.

Xilinx System Generator for DSP in Digital Radio Design

Speaker:Andrew Cambridge, Ultra Electronics Ltd

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At Ultra SCS we used Xilinx System Generator for DSP to exploit its promise of a fast route to programming FPGAs using non-specialist staff. Accordingly, we obtained an evaluation copy of System Generator for DSP and gave it to two RF engineers with instructions to use it for an RF-based evaluation of the tool, aiming to get valid code running in real-time on an FPGA with its output displayed on a logic analyser for a demonstration to our Customer. Taking a low risk approach, we modified a Xilinx example by adding additional computational stages to suit our particular application. "We successfully compiled code from our block diagram and loaded it onto an evaluation card hosting a Virtex 2 Pro VP50 FPGA. The code ran in real time and Ultra was able to perform a successful demonstration to our Customer. Based on this experience we, as engineers, have recommended this methodology to our senior management as the best way to program FPGAs in the future.

Day 2: Master class Track - Model-Based Design for Control

Master class 1: Automatically Generating Production Code for Control Systems


A key driver of the rapid adoption of Model-Based Design is the ability to quickly develop new algorithms and automatically generate code. Real-Time Workshop Embedded Coder is a key product for rapidly generating fast and efficient code that exactly duplicates the simulation behaviour. This Master Class explains the primary workflow and key features of Real-Time Workshop Embedded Coder for developing and deploying code on an embedded controller. An illustrative example with several software-specific requirements will be reviewed and systematically prepared to generate code. Specific topics include data dictionary management, legacy code integration, generation of reusable code, hardware interfacing, operating system integration, and code formatting.

Master class 2: Controller Development for a Mechanical System using Simulink


In this Master Class, you will experience first-hand the Model-Based Design approach to develop a controller for a mechanical system, using a robot arm as an example. We will demonstrate the key steps of the design process, taking the mechanism modelled in a CAD package into Simulink, then designing and implementing the controller in real time. Through this example, you will gain experience with tools for plant modelling, parameter estimation, controller design, optimisation, verification, validation, and rapid prototyping on a real-time system.

Master class 3: Electromechanical System Design Using Multi-Domain Modelling and Simulation


This Master Class demonstrates the use of Simulink, SimMechanics, and SimPowerSystems to model and simulate a mechanical linkage driven by an electric motor. An electro-mechanical actuator is modelled using SimMechanics, then enhanced with automated computation of the mass and inertia properties using MATLAB. Coordinate systems can be defined to speed up the modelling process and improve the model's clarity. The motor is modelled using SimPowerSystems, in this case as a permanent magnet DC motor. The interface between the linkage and motor models reflects the mechanical-electrical interaction, such as the torque that drives the motion of the linkage and the motor shaft velocity that defines the back EMF voltage associated with the motor.

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