Model Based Systems Engineering for the Aerospace Industry.David Almer – Systems Simulation Manager at Siemens PL
based on the Paper of Jonathan Menu and Mike Nicolai (AST 2017)
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Design of electrical power systems for aircraft
Concept evaluation: 1. Ranking2. Behavior simulation
Methodology for automatic concept generation
Agenda
Conclusions
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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”)
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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
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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
Restricted © Siemens AG 2016
09.21.2016Page 12 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
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Generated architecture
+ 30 more solutions(*)
(*) case completely solved
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Generated architectures
Solving info
# unique solutions 31
Time to solution 31 2 min.
Complete solver time 64 min.
Brute-force # solutions ~3.5�1040
Strategy CSP, SAT
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Design of electrical power systems for aircraft
Concept evaluation: 1. Ranking2. Behavior simulation
Methodology for automatic concept generation
Agenda
Conclusions
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09.21.2016Page 19 Siemens PLM Software
Overall flow (automatic!)
Architecture generation
Declaration
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Overall flow (automatic!)
Architecture generation
DeclarationArchitecture realization
ExportLMS Imagine.Lab Amesim
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Overall flow (automatic!)
Architecture generation
DeclarationArchitecture realization
Architecture ranking
Ranking: based on
reliability
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Fault Tree Analysis: system reliability
Architecture ranking
component failure rate λ (hr-1)
generatorbattery
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)
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Architecture ranking
Three clusters, based
on HV system topology
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Architecture ranking
Three clusters, based
on HV system topology
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Architecture ranking
Three clusters, based
on HV system topology
Patent US20060061213
(2006, Honeywell)
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Overall flow (automatic!)
Architecture generation
DeclarationArchitecture realization
Architecture ranking
Ranking: based on
reliability
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Design of electrical power systems for aircraft
Concept evaluation: 1. Ranking2. Behavior simulation
Methodology for automatic concept generation
Agenda
Conclusions
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09.21.2016Page 29 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
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Failure scenario & operating power
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Failure scenario & operating power
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Failure scenario & operating power
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Failure scenario & operating power
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Failure scenario & operating power
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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
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Network interactive simulation
LMS Amesim model
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Network interactive simulation
LMS Amesim dasboard (2/2)
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Network interactive simulation
Results
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Design of electrical power systems for aircraft
Concept evaluation: 1. Ranking2. Behavior simulation
Methodology for automatic concept generation
Agenda
Conclusions
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09.21.2016Page 42 Siemens PLM Software
David Almer BaudetLMS Imagine.Lab – EMEA Center of Excellence
DF / PL / S&SE / EU / COE
E-mail:
Realize innovation.
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