Model Based Systems Engineering overview and practicesem... · 2020. 10. 17. · LMS Imagine.Lab...
Transcript of Model Based Systems Engineering overview and practicesem... · 2020. 10. 17. · LMS Imagine.Lab...
-
Unrestricted © Siemens AG 2017
09.2017Page 1 Siemens PLM Software
Model Based Systems Engineering
overview and practices
MBSE
-
Unrestricted © Siemens AG 2017
09.2017Page 2 Siemens PLM Software
Introduction to systems
• Systems have structure, defined by parts and their
composition
• Systems have behavior, which involves inputs, processing
and outputs of material, energy or information
• Systems have interconnectivity: the various parts of a
system have functional as well as structural relationships
between each other
• Systems have by themselves functions or groups of
functions
SURROUNDINGS
SYSTEM
BOUNDARY
-
Unrestricted © Siemens AG 2017
09.2017Page 3 Siemens PLM Software
What is a system? Examples
Washing machine
Control
Electric
Hydraulic
Mechanic
Thermal
-
Unrestricted © Siemens AG 2017
09.2017Page 4 Siemens PLM Software
What is a system? Examples
Hybrid vehicle
Control
Electric
Hydraulic
Mechanic
Thermal
-
Unrestricted © Siemens AG 2017
09.2017Page 5 Siemens PLM Software
What is a system? Examples
Electro-hydraulic power steering
Control
Electric
Hydraulic
Mechanic
-
Unrestricted © Siemens AG 2017
09.2017Page 6 Siemens PLM Software
What is mechatronic system simulation?
• Classical design issues :• Is the electric motor powerful enough?
• What is the time response of the system?
• What maximum pressure can be reach?
• Is there any risk of vibration?
• How to optimize the control design?
• Key words :
• Multi-physics with power exchange
• Dynamic system (function of time)
• Physical system model = plant model
-
Unrestricted © Siemens AG 2017
09.2017Page 7 Siemens PLM Software
Abstraction level : power steering example
Power steering example
• Can we build the complete system model with a CAD-based software?
No, since we have no CAD at this stage of design
• Can we simulate it within an acceptable simulation (computational)
time?
No, no 3D software is able to do that
Model
• We need another approach to:
• Pre-design such systems
• Choose an architecture (hydraulic, electro-hydraulic, electric)
• Assess key functions of the system
-
Unrestricted © Siemens AG 2017
09.2017Page 8 Siemens PLM Software
Simulation as a tool to manage complexity
-
Unrestricted © Siemens AG 2017
09.2017Page 9 Siemens PLM Software
One model
-
Unrestricted © Siemens AG 2017
09.2017Page 10 Siemens PLM Software
The Amesim approach : Abstraction level – Equations – Representation
• Equations are usually written as time dependent with a focus on computing state derivative of variables to assess transient evolution
• Physical equations of component behavior are represented by readable objects (icons)
02
/²/*
22
nn szs
KxdtRdxFdtdxM
CIdtdU
IRU
//
*
PdisplT
displQ
*
*
Mechanics
Electric
Hydraulics
And many other physical domains…
Equations level Physical icon representation
-
Unrestricted © Siemens AG 2017
09.2017Page 11 Siemens PLM Software
An AMESim model – A differential system
-
Unrestricted © Siemens AG 2017
09.2017Page 12 Siemens PLM Software
The steering system in Amesim
-
Unrestricted © Siemens AG 2017
09.2017Page 13 Siemens PLM Software
Positioning in CAx world
CONTROL
MECHANICS HYDRAULICS
PNEUMATICS
THERMALPOWER ELECTRONICS
FEM
Control
MBS
CFD
Magnetic
LMS Imagine.Lab
Amesim
3D simulation
Mechatronic system simulation
-
Unrestricted © Siemens AG 2017
09.2017Page 14 Siemens PLM Software
Aerospace Industry Practice
Next
-
Unrestricted © Siemens AG 2017
09.2017Page 16 Siemens PLM Software
-
Unrestricted © Siemens AG 2017
09.2017Page 17 Siemens PLM Software
-
Unrestricted © Siemens AG 2017
09.2017Page 18 Siemens PLM Software
-
Unrestricted © Siemens AG 2017
09.2017Page 19 Siemens PLM Software
.
Design of electrical power systems for aircraft
Concept evaluation: 1. Ranking2. Behavior simulation
Methodology for automatic concept generation
Agenda
Conclusions
-
Unrestricted © Siemens AG 2017
09.2017Page 20 Siemens PLM Software
MBSE & RFLP: Paradigm Shift
-
Unrestricted © Siemens AG 2017
09.2017Page 21 Siemens PLM Software
Methodology for system modeling and system concept generation
Design goal: create symmetric variants of given EPS architecture
Methodology:
• abstract description as blocks with ports
• graphical representation (cf. UML, SysML)
• design support by automatic architecture generation
(“Design Space Exploration”)
-
Unrestricted © Siemens AG 2017
09.2017Page 22 Siemens PLM Software
Methodology for system modeling and system concept generation
Design goal: create symmetric variants of given EPS architecture
Methodology:
• abstract description as blocks with ports
• graphical representation (cf. UML, SysML)
• design support by automatic architecture generation
(“Design Space Exploration”)
• expressive language to represent engineering knowledge
-
Unrestricted © Siemens AG 2017
09.2017Page 23 Siemens PLM Software
Methodology for system modeling and system concept generation
Design goal: create symmetric variants of given EPS architecture
Methodology:
• abstract description as blocks with ports
• graphical representation (cf. UML, SysML)
• design support by automatic architecture generation
(“Design Space Exploration”)
• expressive language to represent engineering knowledge
-
Unrestricted © Siemens AG 2017
09.2017Page 24 Siemens PLM Software
Methodology for system modeling and system concept generation
Design goal: create symmetric variants of given EPS architecture
Methodology:
• abstract description as blocks with ports
• graphical representation (cf. UML, SysML)
• design support by automatic architecture generation
(“Design Space Exploration”)
• expressive language to represent engineering knowledge
-
Unrestricted © Siemens AG 2017
09.2017Page 25 Siemens PLM Software
Generated architecture
-
Unrestricted © Siemens AG 2017
09.2017Page 26 Siemens PLM Software
Generated architecture
+ 30 more solutions(*)
(*) case completely solved
-
Unrestricted © Siemens AG 2017
09.2017Page 27 Siemens PLM Software
Generated architectures
-
Unrestricted © Siemens AG 2017
09.2017Page 28 Siemens PLM Software
Generated architectures
Solving info
# unique solutions 31
Time to solution 31 2 min.
Complete solver time 64 min.
Brute-force # solutions ~3.51040
Strategy CSP, SAT
-
Unrestricted © Siemens AG 2017
09.2017Page 29 Siemens PLM Software
.
Design of electrical power systems for aircraft
Concept evaluation: 1. Ranking2. Behavior simulation
Methodology for automatic concept generation
Agenda
Conclusions
-
Unrestricted © Siemens AG 2017
09.2017Page 30 Siemens PLM Software
MBSE & RFLP: Paradigm Shift
-
Unrestricted © Siemens AG 2017
09.2017Page 31 Siemens PLM Software
Overall flow (automatic!)
Architecture generation
Declaration
-
Unrestricted © Siemens AG 2017
09.2017Page 32 Siemens PLM Software
Overall flow (automatic!)
Architecture generation
DeclarationArchitecture realization
ExportLMS Imagine.Lab Amesim
-
Unrestricted © Siemens AG 2017
09.2017Page 33 Siemens PLM Software
Overall flow (automatic!)
Architecture generation
DeclarationArchitecture realization
Architecture ranking
Ranking: based on
reliability
-
Unrestricted © Siemens AG 2017
09.2017Page 34 Siemens PLM Software
ComposR
Integrated analysis leverages the benefits of model-based development for reliability and safety
Component Fault Tree based safety & reliability analysis
• Divide-and-Conquer strategy for complex systems
• Systematic reuse of safety artifacts along with design
artifacts
• Automated composition of pre-existing safety artifacts
• Support top-down / bottom-up / middle-out approaches
• Quantitative & qualitative FTA using proven-in-use
methods (ZUSIM.NG)
• Integration/Synchronization with any system modeling
approach
CFT
ElementsSystem
description
Component
Fault Tree
Fault Tree Analysis
.NG
-
Unrestricted © Siemens AG 2017
09.2017Page 35 Siemens PLM Software
Architecture ranking: component fault tree technology
component failure rate λ (hr-1)
generator
battery
7 ·10-4
rectifying unit (RU) 4 ·10-4
AC transformer (ACT)
transforming rectifier unit (TRU)
2 ·10-4
bus (HVAC/LVAC/HVDC/LVDC) 1 ·10-8
Export
Reliability analysis based on automatic component fault tree (CFT)
analysis
1. Associate CFT components (failure rates, failure modes) with blocks
2. Export complete architectures to CFT architectures
3. Automatic evaluation of different failure modes (e.g., minimal cut sets)
-
Unrestricted © Siemens AG 2017
09.2017Page 36 Siemens PLM Software
Fault Tree Analysis: system reliability
Architecture ranking
component failure rate λ (hr-1)
generator
battery
7 ·10-4
rectifying unit (RU) 4 ·10-4
AC transformer (ACT)
transforming rectifier unit (TRU)
2 ·10-4
bus (HVAC/LVAC/HVDC/LVDC) 1 ·10-8
Component A Component B
Component A
Component B
Parallel components:
P = P(A AND B) = P(A) P(B)Serial components:
P = P(A OR B) = P(A) + P(B) – P(A) P(B)
-
Unrestricted © Siemens AG 2017
09.2017Page 37 Siemens PLM Software
Architecture ranking
Three clusters, based
on HV system topology
-
Unrestricted © Siemens AG 2017
09.2017Page 38 Siemens PLM Software
Architecture ranking
Three clusters, based
on HV system topology
-
Unrestricted © Siemens AG 2017
09.2017Page 39 Siemens PLM Software
Architecture ranking
Three clusters, based
on HV system topology
Patent US20060061213
(2006, Honeywell)
-
Unrestricted © Siemens AG 2017
09.2017Page 40 Siemens PLM Software
Overall flow (automatic!)
Architecture generation
DeclarationArchitecture realization
Architecture ranking
Ranking: based on
reliability
-
Unrestricted © Siemens AG 2017
09.2017Page 41 Siemens PLM Software
.
Design of electrical power systems for aircraft
Concept evaluation: 1. Ranking2. Behavior simulation
Methodology for automatic concept generation
Agenda
Conclusions
-
Unrestricted © Siemens AG 2017
09.2017Page 42 Siemens PLM Software
MBSE & RFLP: Paradigm Shift
-
Unrestricted © Siemens AG 2017
09.2017Page 43 Siemens PLM Software
SimpleSteady-state power consumption
Global efficiency
Advanced/ExpertTransient behavior
Network quality
Simulation export: demonstrator with LMS Imagine.Lab Amesim
loadsAC DC
Export
-
Unrestricted © Siemens AG 2017
09.2017Page 44 Siemens PLM Software
Failure scenario & operating power
-
Unrestricted © Siemens AG 2017
09.2017Page 45 Siemens PLM Software
Failure scenario & operating power
-
Unrestricted © Siemens AG 2017
09.2017Page 46 Siemens PLM Software
Failure scenario & operating power
-
Unrestricted © Siemens AG 2017
09.2017Page 47 Siemens PLM Software
Failure scenario & operating power
-
Unrestricted © Siemens AG 2017
09.2017Page 48 Siemens PLM Software
Failure scenario & operating power
-
Unrestricted © Siemens AG 2017
09.2017Page 49 Siemens PLM Software
MBSE & RFLP: Paradigm Shift
-
Unrestricted © Siemens AG 2017
09.2017Page 50 Siemens PLM Software
Simulation Scenario and predictive analysis : Network interactive simulation
Objective :
• Simulate this network and interact with it
3 sub-networks are interconnected:
• On the right and left sides in green are the two
main distributions
• On the center is the essential distribution in bright
red.
• The essential distribution is dedicated to supply
the essential loads (aircraft critical systems :
navigation equipment, passenger oxygen, flight
control systems ...)
• 2 batteries : last source of electrical power
-
Unrestricted © Siemens AG 2017
09.2017Page 51 Siemens PLM Software
Network interactive simulation
LMS Amesim model
-
Unrestricted © Siemens AG 2017
09.2017Page 52 Siemens PLM Software
Network interactive simulation
LMS Amesim dasboard (2/2)
-
Unrestricted © Siemens AG 2017
09.2017Page 53 Siemens PLM Software
Network interactive simulation
Results
-
Unrestricted © Siemens AG 2017
09.2017Page 54 Siemens PLM Software
.
Design of electrical power systems for aircraft
Concept evaluation: 1. Ranking2. Behavior simulation
Methodology for automatic concept generation
Agenda
Conclusions
-
Unrestricted © Siemens AG 2017
09.2017Page 55 Siemens PLM Software
-
Unrestricted © Siemens AG 2016
Page 56 Siemens PLM Software
THANK YOU FOR YOUR ATTENTION !
David Almer
System Simulation Manager
Center of Excellence - EMEA
Siemens Industry Software NV
Phone: +32 (0) 471 12 16 77
Mobile: +32 16 38 43 79
E-mail:
siemens.com
Engaged UsersRight information.
Right time. Right context.
Adaptive SystemEasy deployment today
Flexibility for tomorrow
Intelligent ModelsKnowing what they are
and how they’re made.
Realized ProductsVirtual product.
Real production.
mailto:[email protected]