Model Based Systems Engineering for the Aerospace Industry.Model Based Systems Engineering for the...

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)

Realize innovation.Restricted © Siemens AG 2016

Restricted © Siemens AG 2016

09.21.2016 Siemens PLM Software



.

Design of electrical power systems for aircraft

Concept evaluation: 1. Ranking2. Behavior simulation

Methodology for automatic concept generation

Agenda

Conclusions



MBSE & RFLP: Paradigm Shift



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”)



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



Generated architecture



Generated architecture

+ 30 more solutions(*)

(*) case completely solved



Generated architectures



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



.




Agenda

Conclusions



Overall flow (automatic!)

Architecture generation

Declaration





DeclarationArchitecture realization

ExportLMS Imagine.Lab Amesim






Architecture ranking

Ranking: based on

reliability



Fault Tree Analysis: system reliability


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)




Three clusters, based

on HV system topology




Three clusters, based

on HV system topology

Patent US20060061213

(2006, Honeywell)







Ranking: based on

reliability



.




Agenda

Conclusions



SimpleSteady-state power consumption

Global efficiency

Advanced/ExpertTransient behavior

Network quality

Simulation export: demonstrator with LMS Imagine.Lab Amesim

loadsAC DC

Export



Failure scenario & operating power



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



Network interactive simulation

LMS Amesim model




LMS Amesim dasboard (2/2)




Results



.




Agenda

Conclusions



David Almer BaudetLMS Imagine.Lab – EMEA Center of Excellence

DF / PL / S&SE / EU / COE

E-mail:

[email protected]

Realize innovation.

Model Based Systems Engineering for the Aerospace Industry.Model Based Systems Engineering for the...

Documents

Transcript of Model Based Systems Engineering for the Aerospace Industry.Model Based Systems Engineering for the...