Transcript Summary of Activities

System Analysis
towards
System Optimization &
Multi-disciplinary Design Optimization
K Sudhakar
J Jayaraman
Amitay Isaacs
SK Sane
PM Mujumdar
ARDB Centre for Systems Design & Engineering
Department of Aerospace Engineering
Indian Institute of Technology Bombay
October 13, 2003
Multi Disciplinary Analysis (MDA)
towards
System Optimization &
Multi-disciplinary Design Optimization
K Sudhakar
J Jayaraman
Amitay Isaacs
SK Sane
PM Mujumdar
ARDB Centre for Systems Design & Engineering
Department of Aerospace Engineering
Indian Institute of Technology Bombay
October 13, 2003
CASDE - Activities
MTech in Systems Design & Engineering
Courses of study:
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System Modeling & Simulation$
Optimization for Engineering Design$
Multi-disciplinary Design Optimization# (MDO)
Applied Mechatronics$ (hands on course)
Statistical Methods for Analysis & Design
Systems Engineering Principles$
Also available as short courses
# Coordinates a Special Interest Group on MDO (SIG-MDO)
Systems Engineering Process
Context
Super
System
Solution from
lower level
Requirements to
lower level
System
Sub
System
• System represents system under design & development
• Super-system represents operational scenario for the systems
under design & development.
Systems Engineering Process
Context
Super
System
Solution from
lower level
Requirements to
lower level
System
Sub
System
• System represents system under design & development
• Super-system represents operational scenario for the systems
under design & development.
Systems Engineering Process
Level-3
Analysis
Level-2
Analysis
Context
Level-1
Analysis
Super
System
Solution from
lower level
Requirements to
lower level
System
Sub
System
•
Level – 1 : Good understanding of system; knowledge base, heuristic;
Computationally less expensive;
Usually not available for new systems.
• Level – 3 : Physics based modeling; computationally intensive,
applicable to new systems (V&V?)
Systems Engineering Process
Level-3
Analysis
Level-2
Analysis
Context
Level-1
Analysis
Super
System
Solution from
lower level
Requirements to
lower level
Focus
of CASDE
System
Sub
System
CASDE Activities
Research activity
Level-3
Analysis
Level-2
Analysis
Level-1
Analysis
– High fidelity models in design loop ( CFD, . .)
– Multi-Disciplinary Analysis (MDA) leading to
Multi-disciplinary Design Optimization (MDO)
MDO Studies
– Hypersonic Vehicle (DRDL)
– Combat Aircraft (ADA)
– Launch Vehicle (VSSC)
System Optimization / Design
• Design Problem Statement
– Not always readily available
– Not easy to reconstruct
– Need for capturing problem as we go along
• Optimization:
– System parameterization, x
– Objectives; Optimize
: f1(x), f2(x), . . . .
– Constraints; Equality
: h1(x), h2(x), . . . . = 0
Inequality
: g1(x),
g2(x), . . . .  0
Multi Disciplinary Analysis  f1(x), . , h1(x), . , g1(x), .
System Optimization / Design
Multi Disciplinary Analysis Capability
• Strengths exist in disciplinary analysis
• Focus on Analysis for Design
• Capture knowledge with traceability
• Focus on verification / validation
System Optimisation / Design
Need for a group to
• Capture design problems
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Define needs for Analysis for Design
Extract / Establish traceability
Perform Verification / Validation
Explore design methodologies
SIG-MDO is doing this informally #
MSO-DMES gives hopes of formalizing this #
System Optimisation / Design (Contd.)
• IT Enabled Design Environment
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Stress on digital models
Need for distributed environment
Support to system designer for abstracting
Enabling disciplinary authority / control
MDO Frameworks!
• Optimization Technology
– Goes beyond theory
– Goes beyond S/W packages
– Guided search to improve than hunt for optima
System Level Analysis
Inputs
Analysis
Outputs
System Level Analysis
Parameters
Analysis
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Performance
-ilities
Operational aspects
Acq Cost, LCC, Etc.
System Level Analysis
Perf Model
Parameters
-ilities Model
Cost etc. Model
Performance
-ilities
Operational aspects
Acq Cost, LCC, Etc.
System Level Analysis
Perf Model
Additional
parameters
Parameters
Performance
-ilities Model
-ilities
Additional
parameters
Cost etc. Model
Operational
Aspects,
Cost, Etc.
Design Problem
Design an Air-Breathing Hypersonic Vehicle
Cruise : M=6.5 at H = 30-35 km
Constraints
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Dimensional constraints on overall length, height and width
Take-off gross weight
Intake entry conditions
Control deflection within allowable values
Vehicle drag to be less than thrust deliverable
Parameterization of HSTDV Body
 n-pl
r2
z
a
x
r1
h1
h2
h3
b
 wcant
 noz
l cowl
h intake
l
1
l 2
l3
rnoz
l mid
Design variables
XD: {1, 2, 3 , n_plan , wc , wfac_pl, tfac_pl,, Hcruise }
l
noz
t
Hypersonic Vehicle – Discipline Interactions
Input variable
1
2
Analysis Model
Ext. Compression
Model : AM1
Output
Y1
Y1: l1, l2, l3, h1, h2, h3
Y2: ma , MI, , pst
Ext. Configuration
Model : AM2
Y3: (X,Y,Z)
Y4: TOGW , C.G., Vol, Fuel mass
n_pl
Aero Model : AM3
Y5: CN, Cm, CA
w_c
Trim Model :
AM4
Y6: TOGW_up, T , T , D
3
SW
ST
Hcr
n_pl, SW
1…, Hcr
Thrust Model :
AM5
Y7: Th_deliv, Lp, Mp
Performance Model : AM6
Variables not shared
Shared variables
Y8: Cruise Range
Y1… Response from AM1
required as input in AM2
System Level Analysis
A-1
Parameters
A-2
A-3
A-4
Outputs
A-5
Requirements:
• Abstraction at centralized system level
• Distribution of analysis modules
• Help in setting up MDA
• Control of individual modules with experts
• Tools (Optimisers, DOE, RSM, . .)
MDO Framework
MDO Framework
• MDO Framework is an important
infrastructure for design
• Do MDO Framework exist?
– iSIGHT,
– Phoenix integration,
– etc
• Most design offices are migrating to MDO
Framework
• System Engineering Processes
Mr J Jayaraman
• MDO Framework for System Optimization
Mr. Amitay Isaacs
Contd. . . .