best practices for model based design v3

5/28/2018 Best Practices for Model Based Design v3

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2014 The MathWorks, Inc.

Best Practices for Model Based Design

(MBD)

By Jonathan Friedman, Ph.D.

Industry Marketing Manager

MathWorks


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Mechanical

Components

MCAD/

MCAE

Electrical

Components

EDA

Traditional Workflow

INTEGRATION AND TEST

SPECIFICATIONS

DESIGN

RESEARCH REQUIREMENTS

Embedded

Software

C/C++

IMPLEMENTATION

Requirement Documents

Difficult to analyze

Difficult to manage as they change

Paper Specifications

Easy to misinterpret

Difficult to integrate with design

Physical Prototypes

Incomplete and expensive

Prevents rapid iteration

No system-level testing

Manual Coding

Time consuming

Introduces defects and variance

Difficult to reuse

Traditional Testing

Design and integration issues found late

Difficult to feed insights back into design

process

Traceability

Embeddable

Algorithms

Algorithm

Design

Hardware

VHDL,

Verilog


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INTEGRATION

IMPLEMENTATION

DESIGN

Environment Models

Physical Components

Algorithms

Other CADTools

VHDL, VerilogC, C++

TES

T&

VERIFICATION

RESEARCH REQUIREMENTS

Other

hardwareMCU DSP FPGA ASIC

Model-Based Design Workflow


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6Simulation Real-Time Testing Production

Adoption of Model-Based Design

Graphical

Specs

Rapid

Prototyping

Graphical

Programming

Closed-loop

Simulation

Hardware-

In-Loop

Simulationbased

Development

VirtualVerification &

Validation

SystemValidation

Fully LeveragedModel-Based

Design


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Have metrics that identify the weak points in your current process

Attack your greatest weaknesses first

Monitor your Return on Investment (ROI)

Example 1:

Missed release dates

Example 2:

Excessive software defects

Example 3:

Prototype hardware availability

Best Practice # 1: Ident i fy the problem you

are try ing to so lve


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Lear Delivers Quality Body Control Electronics

Faster Using Model-Based Design

We adopted Model-Based Design not

only to deliver better-quality systems

faster, but because we believe it is a

smart choice. Recently we won a

project that several of our competitorsdeclined to bid on because of its tight

time constraints. Using Model-Based

Design, we met the original delivery

date with no problem."

Jason Bauman

Lear Corporation

Link to user story

Lear automotive body electronic

control unit.

ChallengeDesign, verify, and implement high-quality automotive

body control electronics

Solution

Use Model-Based Design to enable early and continuousverification via simulation, SIL, and HIL testing

Results Requirements validated early. Over 95% of issues

fixed before implementation, versus 30% previously

Development time cut by 40%. 700,000 lines of code

generated and test cases reused throughout thedevelopment cycle

Zero warranty issues reported
http://www.mathworks.com/company/user_stories/Lear-Delivers-Quality-Body-Control-Electronics-Faster-Using-Model-Based-Design.htmlhttp://www.mathworks.com/company/user_stories/Lear-Delivers-Quality-Body-Control-Electronics-Faster-Using-Model-Based-Design.html


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Overcome startup costs and resistance to change

ROI increases with multi-use models

Example 1:

Validate requirements through

simulation and add new functionalitythrough rapid prototyping

Example 2:

System specification and

automatic code generation

Example 3:

Development time reduced and

additional design complexity

without staff increases

Best Practice # 2: Use models for at least two thing s

Rule of Two


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Airbus Develops Fuel Management System

for the A380 Using Model-Based Design

Challenge

Develop a controller for the Airbus A380 fuel management

system

Solution

Use MATLAB, Simulink, and Stateflow for Model-BasedDesign to model and simulate the control logic,

communicate the functional specification, and accelerate

the development of simulators

Results

Months of development time eliminated

Models reused throughout development

Additional complexity handled without staff increases

Model-Based Design gave usadvanced visibility into the

functional design of the system.

We also completed requirements

validation earlier than was

previously possible and simulated

multiple simultaneous component

failures, so we know what will

happen and have confidence that

the control logic will manage it.

Christopher Slack

Airbus

Link to user story

Airbus A380, the worlds largest

commercial aircraft.
http://www.mathworks.com/company/user_stories/Airbus-Develops-Fuel-Management-System-for-the-A380-Using-Model-Based-Design.htmlhttp://www.mathworks.com/company/user_stories/Airbus-Develops-Fuel-Management-System-for-the-A380-Using-Model-Based-Design.htmlhttp://www.mathworks.com/company/user_stories/Airbus-Develops-Fuel-Management-System-for-the-A380-Using-Model-Based-Design.htmlhttp://www.mathworks.com/company/user_stories/Airbus-Develops-Fuel-Management-System-for-the-A380-Using-Model-Based-Design.html


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Best Practice # 3: Use the models for product ion code

generat ion

To ensure success

you must connect

models to real system

Enable a culture ofmodeling by removing

temptation and option

to write code

Executable code iswhat makes machines

move and generates

profits


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Toyota Uses MathWorks Tools to Increase

Quality, Reduce Costs, and Speed Time to

Market of New Vehicles

ChallengeSpeed up design, increase quality, and reduce R&D

costs by finding an alternative to traditional design methods

SolutionUse MathWorks tools for control design to prototype,

model, test, and refine control strategies in an integrated

design environment

Results Deliver a better product to market faster and at a

lower cost Reduce time to embedded code

Forge a pathway to innovation

MATLAB, Simulink, and

Stateflow have become the de

factostandard at Toyota for

simulation, data processing, and

controls design. It would be

impossible to list all of the

applications for these tools at

Toyota.

Akira Ohata

Toyota

Link to user story
http://www.mathworks.com/company/user_stories/MathWorks-Tools-Help-Toyota-Design-for-the-Future.htmlhttp://www.mathworks.com/company/user_stories/MathWorks-Tools-Help-Toyota-Design-for-the-Future.html


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Best Practice # 4: Treat models as the sole sou rce of

t ru th

Remove the

temptation to hack

code by hand late in

a program when

under time pressure

Prevent divergence

of code and model


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Eurocopter Uses Model-Based Design

to Accelerate Development of DO-178B

Certified Systems

ChallengeSpeed up DO-178 development cycle while stabilizing system

and software definitions by using models for validation and

reusing the data for verification

Solution

Develop Plan for Software Aspects of Certification (PSAC)

consistent with latest recommendations from EuropeanAviation Safety Agency (EASA) for DO-178B, taking into

account DO-178C concepts for Model-Based Design

Create models in Simulink for software architecture,

high-level requirements, and low-level requirements

Generate flight source code using Embedded Coder

Results Early requirements validation and execution of

simulation test cases with Simulink

Seamless object code verification by reusing simulation

test cases

EASA approval for the software certification with use of

code generated by Embedded Coder

Using Simulink for systems and

software development has

provided efficient means to

validate the requirements and

design the system and saves

time on verification and

validation.

Ronald Blanrue

Eurocopter GroupAvionic System

Avionic Certification/EADS Expert

EC130 Air Conditioning Software developed

with Embedded Coder.


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Best Practice # 5: Use migrat ion to Model-Based

Design as a learning oppo rtuni ty

Learn what really happens in the current system

Solicit help on process and tools, not on translation

Focus on value-added

features first

Conversion is atremendous learning

and quality

improvement

opportunity

True even in smallcode footprints

and efficient

organizations


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Best Practice # 6: Focus on design, not on coding

Software design is still taking place

Software engineers establish and manage the code generation

infrastructure

Model refinement

continues after thecontrols engineers

finish their work and

before model is ready

to generate code,

especially in a fixed-

point implementation

Legacy code must be

integrated and

maintained


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FLIR Accelerates Development of Thermal

Imaging FPGA

ChallengeAccelerate the implementation of advanced thermal

imaging filters and algorithms on FPGA hardware

Solution

Use MATLAB to develop, simulate, and evaluatealgorithms, and use HDL Coder to implement the best

algorithms on FPGAs

Results Time from concept to field-testable prototype

reduced by 60%

Enhancements completed in hours, not weeks

Code reuse increased from zero to 30%

With MATLAB and HDL Coder we are

much more responsive to

marketplace needs. We now embrace

change, because we can take a new

idea to a real-time-capable hardware

prototype in just a few weeks. There

is more joy in engineering, so weve

increased job satisfaction as well as

customer satisfaction.

Nicholas Hogasten

FLIR Systems

Link to user story

Raw image (left) and image after applying filter developed

with HDL Coder (right).
http://www.mathworks.com/company/user_stories/FLIR-Accelerates-Development-of-Thermal-Imaging-FPGA.htmlhttp://www.mathworks.com/company/user_stories/FLIR-Accelerates-Development-of-Thermal-Imaging-FPGA.htmlhttp://www.mathworks.com/company/user_stories/FLIR-Accelerates-Development-of-Thermal-Imaging-FPGA.html


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Best Practice # 7: Integrate the development

process

Develop a comprehensive plan

- Training

- Modeling Style

- Enforcement.

- Supporting Tools

- Configuration Management

- Requirements Management

- Process

Develop new metrics


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GM Standardizes on Model-Based Design

for Hybrid Powertrain Development

ChallengeDevelop new hybrid powertrain technology for

GM vehicles

SolutionStandardize on MathWorks tools and Model-Based

Design for control systems design and production

code generation

Results Aggressive delivery date met

Worldwide collaboration and communicationenabled

Designs reused across product lines

The Two-Mode Hybrid powertrain

took Model-Based Design to a new

level within GM. This project

provided the confidence and

experience we needed to apply

MathWorks tools for Model-Based

Design on other large-scale global

engineering programs."

Kent Helfrich

General Motors

Link to user story

Badge for GMs Two-Mode Hybrid

powertrain, which is used in vehicles

across several product lines.
http://www.mathworks.com/company/user_stories/GM-Standardizes-on-Model-Based-Design-for-Hybrid-Powertrain-Development.htmlhttp://www.mathworks.com/company/user_stories/GM-Standardizes-on-Model-Based-Design-for-Hybrid-Powertrain-Development.html


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Assign priority Assign people

Acquire tools,

equipment, and

services

Sometimes act as a

consensus builder

Sometimes act as a

benevolent dictator

Best Practice # 8: Designate a champion who has

inf luence and budgetary contro l


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Lockheed Martin Joint Strike Fighter

THREE AIRCRAFT, A SINGLE MODEL ,

AND 80% COMMON CODE.

THATS MODEL-BASED DESIGN.

To develop the unprecedented three-

versi on F-35, engin eers at Loc kh eedMart in created a common sys tem

mo del to sim ulate the avionics,

propu lsion, and other systems and

generate final f l ight cod e.

The result : reusable designs, rapid

implem entation, and glob al teamw ork.

To learn mo re, vis it

mathworks.com/mbd

Accelerating the pace of engineering and

science


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Best Practice # 9: Have a long-term vis ion

Good things come to those who have a vision and work hard to

achieve it

The full transition from hand-coded, textual languages takes 2-3

years to fully implement in a

production organization

Research organizations often have fewer constraints and less

legacy code, and can move faster


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Best Practice # 10 : Partner w i th you r tool supp l iers

Suppliers bring the experience of working with entire industries and

can help you avoid common pitfalls, accelerate your ROI breakevenpoint and quickly achieve productivity and quality goals

Effort

Time

Do it yourself

Leverage the suppliers experience


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Mazda Speeds Next-Generation Engine

Development of SKYACTIV TECHNOLOGY

ChallengeOptimize the efficiency of SKYACTIV engines while

meeting strict emissions standards worldwide

Solution

Use Simulink and Model-Based Calibration Toolbox toaccelerate the generation and development of optimal

calibration settings, ECU-embeddable models, and

engine models for HIL simulation

Results Engine calibration workload minimized

Model complexity cut in half

Model accuracy improved

Model-Based Calibration Toolbox not

only enabled us to identify optimal

calibration settings for the SKYACTIV-

D engine, it greatly reduced the

engineering effort required. The

models it generated accelerated

control logic development, provided

valuable insights, and made it easy to

try new ideas.

Shingo Harada

Mazda

Link to user story

Mazdas SKYACTIV-D

engine.
http://www.mathworks.com/company/user_stories/mazda-speeds-next-generation-engine-development-of-skyactiv-technology.html?by=industryhttp://www.mathworks.com/company/user_stories/mazda-speeds-next-generation-engine-development-of-skyactiv-technology.html?by=industryhttp://www.mathworks.com/company/user_stories/mazda-speeds-next-generation-engine-development-of-skyactiv-technology.html?by=industry


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Mazda Speeds Next-Generation Engine

Development of SKYACTIV TECHNOLOGY

ChallengeOptimize the efficiency of SKYACTIV engines while

meeting strict emissions standards worldwide

Solution

Use Simulink and Model-Based Calibration Toolbox toaccelerate the generation and development of optimal

calibration settings, ECU-embeddable models, and

engine models for HIL simulation

Results Engine calibration workload minimized

Model complexity cut in half

Model accuracy improved

Model-Based Calibration Toolbox not

only enabled us to identify optimal

calibration settings for the SKYACTIV-

D engine, it greatly reduced the

engineering effort required. The

models it generated accelerated

control logic development, provided

valuable insights, and made it easy to

try new ideas.

Shingo Harada

Mazda

Link to user story

Mazdas SKYACTIV-D

engine.
http://www.mathworks.com/company/user_stories/mazda-speeds-next-generation-engine-development-of-skyactiv-technology.html?by=industryhttp://www.mathworks.com/company/user_stories/mazda-speeds-next-generation-engine-development-of-skyactiv-technology.html?by=industryhttp://www.mathworks.com/company/user_stories/mazda-speeds-next-generation-engine-development-of-skyactiv-technology.html?by=industry


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Best Practices for Establishing a Model-Based

Design Culture

1. Identify the problem you are trying to

solve2. Use models for at least two things

Rule of Two3. Use models for production code

generation

4. Treat models as the sole source of truth

5. Use migration as a learning opportunity

6. Focus on design, not on coding

7. Integrate the development process

8. Designate champions with influence,

expertise, and budgetary control9. Have a long-term vision

10. Partner with your tool suppliers

http://www.mathworks.com/tagteam/40538

_SAE-2007-01-0777-Best-Practices-for-

MBD-Culture.pdf
http://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdfhttp://www.mathworks.com/tagteam/40538_SAE-2007-01-0777-Best-Practices-for-MBD-Culture.pdf

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