Rui Gao, Modelon K.K.

2014722

2014-07-23 Modelon 1

FMI MBD

FMIin

AGENDA

Engineering Background to FMI

Modelon FMI Solution Introduction

FMI Add-in for Excel and its Application

FMI Toolbox for MATLAB and its Application

Towards Affordable Model Based System Engineering

2014-07-23 Modelon 2

SYSTEMS R&D CHALLENGES

3

Complexity explosion in all technology industries!

Innovation

Shorter development cycles

Manage requirements

Performance

Quality

Early knowledge

Identify design flaws

Early integration

Validation & Verification

Experiences!

Communication!

MBSE: RISK MITIGATION IN SYSTEM DEVELOPMENT

Operational models

System of System

AcceptanceTest

High level models

Detailed technical models

Specify model component I/F

Integration

Verification

ComponentDevelopment

SystemDesign

System Test

IntegrationTest

UnitTest

Sub-systemDesign

ComponentDesign

Generation of test caseUpdating models with actual data

specifying component specificationUpdating specifications with models output data

Source: NDIV Final Report, Feb. 2011

From prediction to validation

Sensitive analysis for uncertainty Implementation with confidence

5

WHAT MISSING? ALL CONNECTED?

Motivation

FMI Functional Mockup Interface

Problems / Needs

Component development by supplier

Integration by OEM

Many different simulation tools Licenses ?

supplier1 supplier2 supplier3 supplier4 supplier5

OEM

supplier1

tool 1

supplier2 supplier3 supplier4 supplier5

tool 2 tool 3 tool 4 tool 5

FMI OEM

Solution

Reuse of supplier models by OEM:

DLL (model import) and/or

Tool coupling (co-simulation)

Protection of model IP of supplier

!supplier1

supplier2

supplier3

OEM

Added Value

Early validation of design

Increased process

efficiency and quality

source: Blochwitz, Otter; 2011; FMI-standard.org

Current Status at Modelica conference 2014

BMW Daimler ZF

Voice of Automotive Industries

AGENDA

Engineering Background to FMI

Modelon FMI Solution Introduction

FMI Add-in for Excel and its Application

FMI Toolbox for MATLAB and its Application

Towards Affordable Model Based System Engineering

2014-07-23 Modelon 9

The Functional Mock-up Interface (FMI) is a tool independent standard for

Model Exchange (ME)

Co-Simulation (CS)

The FMI defines an interface to be implemented by an executable called Functional Mock-up Unit (FMU)

FMI FLAVORS

Tool

Solver

FMU

Model

ToolFMU

Model

Solver

MODELON FMI SOFTWARE STACK

2013-09-02 Modelon

FMI Library

FMI Add-in for Excel

FMI Toolbox for MATLAB

PyFMIFMU Compliance

CheckerFMI C++ Toolkit

FMI .NET Toolkit

Open source

Commercial end-user product

FMUFMU

FMU

Commercial software component

Open source (Modelica Assoc.)

FMI Toolbox for CarMaker

Custom User Applications are based on the same software

components as commercial off-the-shelf products

Tool 1 Tool 2 Tool 3 Tool n

FMI technology in Excel Import FMUs into spreadsheets Batch simulation Steady-state analysis Design space exploration Parallel simulations

DEMO1: ROBOT MODEL BATCH SIMULATION WORK FLOW

2014-07-23 Modelon

FMU generation

FMU compliance

check

FMU import to

Excel

Batch

simulation

Experiment

setup

Post analysis

Dymola/ModelicaFullRobot model

EXAMPLE 1: SMALL MODULAR REACTOR

Customer: ORNL-Oak Ridge National Laboratory

Challenges: Dynamic System Modeling Tool for SMRs(small modular reactors) Allows rapid assessment of control system strategies

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https://www.modelica.org/events/modelica2014/proceedings/html/abstracts/abstract_104.pdf

EXAMPLE 1: SMALL MODULAR REACTOR

Solutions:

Novel space-advanced nuclear reactor: Dymolaand Modelica

Generation of FMU simulations: FMI Add-in for Excel

cloud application from Xogeny: collaboration

2014-07-23 Modelon

FMI technology in MATLAB Import FMUs (ME/CS) in Simulink Import FMUs (ME/CS) in MATLAB scripts Graphical interface for model configuration FMU-ME export from Simulink models FMU HILS on dSPACE

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DOE: SIMPLISTIC APPROACHES

One-factor-at-a-time (OFAT)

Full-factorial design (gridding)

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x1

x2

x1

x2

DOE DESIGNS

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Common ad-hoc approach

Space-filling algorithms

Good coverage, also in higher

dimensions100 test points, two factors

Scales poorly with nbr of factors

Corner cases poorly covered in

higher dimensions

A DOE TOOL FOR DYNAMIC SYSTEMS: REQUIREMENTS

User input

FMU model

DoE factors from model

Ranges and distributions of factors

Type of DoE design

Response variables to analyze or visualize

Tool tasks

Construct test matrix

Set FMU parameters

Simulate at all points, find steady-state

Find inputs to match specified outputs

Catch and manage simulation errors

Linearize system at test matrix points

Provide support for visualizing results

Construct meta-models for analysis

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DOE IN THE FMI TOOLBOX FOR MATLAB

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FMUDoE

variable spec

Test matrix

Run experiments

Visualize result

Excel /Matlab

Modelingtool

FMI Toolbox for Matlabfrom version 1.6

FMUDoESetup class

constructor input: FMU file name Excel file name [Excel sheet] [options]

methods: qmc mc fullfact custom

FMUDoEResult class

properties: generation_date model_data doe constants experiment_status steady_state linsys options comp_timevisualization methods: main_effects bode step

DEMO2: MASS SPRING MODEL AND DOE WORK FLOW

DEMO2: TEST MATRIX SETUP

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23

c

c

cd

k

fxfxk

fxkdt

dxk

dt

xdm

DEMO2: DYNAMICS ANALYSIS

Time domain analysis

Step

Frequency domain analysis

bode

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EXAMPLE 2: ENGINE COOLING SYSTEM

Demo model from ModelonsLiquid Cooling Library

Design variables: Maximum pump speed Radiator efficiency Minimum air mass flow

Requirements: Engine-out coolant temp < 100 degC Handle heat load of 100 kW Ambient temperature operating

range [-20 degC, 45 degC]

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2012-05-24 Modelon Modelon Confidential 26

IN SHORT...

>> exp_setup = read_experiment_setup_excel(parameters.xlsx);>> result = fmu_doe_qmc(CoolingLoop.fmu, exp_setup, 100);>> main_effects_plot(result, result.steady_state.y(:,3), T_liquid_ae);>> batch_bode(result, 1, 3, 100);

Get from here... ... to here... ... and here...

...in 4 Matlab commands!with plenty of options to customize the analysis

DEMO3: VEHICLE MODEL FMU IN SIMULINK

A linear single-track vehicle model into an FMU

Simulate the vehicle model in an open-loop experiment

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DEMO3: VEHICLE MODEL FMU IN SIMULINK

A linear single-track vehicle model into an FMU

Simulate the vehicle model in an open-loop experiment

User a simple driver model to drive the vehicle around the predefined path

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EXAMPLE 3: FMI BASED TOOL CHAIN

Set up by Volvo with Modelon support.

FMIT and FMIT-Coder completes tool chain.

Entire suite of validation and verification development stages is covered by FMI technology.

Consistent use of FMI enables improved work flow efficiency and model quality of the model based design (MBD) process.

Same appearance of simulation and measurements made it possible to bring MBD to the test and calibration engineer.

2012-05-24 Modelon Modelon Confidential 29

https://modelica.org/events/modelica2014/proceedings/html/submissions/ECP140961277_DrenthTormanenJohanssonAnderssonAnderssonTorstenssonAkesson.pdf

https://modelica.org/events/modelica2014/proceedings/html/submissions/ECP140961277_DrenthTormanenJohanssonAnderssonAnderssonTorstenssonAkesson.pdf

FMI: A BUSINESS MODEL INNOVATION

FMI-compliant tools often allow liberally licensed export of models for distribution in the organization

Exported FMUs most often dont require a license from the model authoring tool

Deployment from few simulation specialists to designers, domain specialists, control engineers

One FMU used by many engineers (control design)

One FMU run on many cores (robust design)

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MODEL DEPLOYMENT

FMU deployed (native tool) to support multiple applications

Mechanical

Mechanical System FMU

Control SystemsElectricalControl

Thermal

Control

FMI ADVANTAGE

Same model different applications

2013-09-02 Modelon

2013-06-11 Modelon 33

ALL CONNECTED!

FMI