1 / 20

System Optimization - I Multi-disciplinary Design Optimization

System Optimization - I Multi-disciplinary Design Optimization. K Sudhakar PM Mujumdar Centre for Aerospace Systems Design & Engineering Indian Institute of Technology, Mumbai. Formal Process for Design. Requirements Capture  Problem statement

more
Download Presentation

System Optimization - I Multi-disciplinary Design Optimization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. System Optimization - IMulti-disciplinary Design Optimization K Sudhakar PM Mujumdar Centre for Aerospace Systems Design & Engineering Indian Institute of Technology, Mumbai

  2. Formal Process for Design • Requirements Capture  Problem statement User, Regulatory, Implied, . . • Establish Concepts • Identify Modeling & Simulation Environment for System Analysis. Easy for familiar concepts. • Design Space Exploration for chosen concepts. Subjective, Parametric studies, Optimization, ? • Design Specification

  3. Analysis Inputs Outputs System Analysis

  4. Analysis Design Variables Requirements System Analysis Many designs may satisfy requirements. Goodness criteria?

  5. Objective Analysis Design Variables Requirements as Constraints System Analysis

  6. Objective Analysis Design Variables Requirements as constraints Change design Subjective? System Design

  7. Analysis Geometry, Etc. Performance, Cost, Weight, System Analysis

  8. Aerodynamics Structures Controls Trajectory Performance, Cost, Weight, Geomtery, Etc. Propulsion System Analysis Identify, validate and integrate modules

  9. Sub-System Analysis Aerodynamics Aerodynamics

  10. VLM for Lift CFD for drag Sub-System Analysis Aerodynamics Analysis - Recursion

  11. DATCOM CFD Sub-System Analysis Aerodynamics Fidelity level of analysis - Low, Medium, High

  12. System Modeling & Simulation • Requires great insight • Need to use most appropriate model • Occam’s razor • Integration of sub-system models • Issues in integration • Technical • Human • . . . . .

  13. Integration Issues I cannot find the correct tuning parameters! Why do you want my program? System Designer’s Nightmare! I have a new version of analysis software You have to know my code to be able to execute it!

  14. HW-6 Controls HW-7 Optimizers HW-3 System-II HW-1 Aerod HW-2 Struct HW-4 Prop HW-5 System-I Frameworks for Integration • Distributed analyses & ownership • System level virtual integration • System level vocabulary • Customized standard tools • eg. iSIGHT, Phoenix, • & CASDE Framework

  15. System Analysis X1, Y2 A1 Y1 X2 A2 Y2 XS YS Y3 X3 A3 XS = {x1, x2, x3} YS = { y1, y2,y3 }

  16. System Analysis X1, Y2 A1 ? Y1 X2 A2 Y2 XS = {x1, x2, x3} YS = { y1, y2,y3, x1 } Y3 X3 A3 How to execute A1?

  17. x1 A1 Y1 y2 A2 x2 y2 YS = { y1, y2,y3 } x3 Y3 A3 System Analysis - Prescribed Scheduling

  18. x2 A2 y2 y2 y1 A1 x1 YS = { y1, y2,y3 } x3 y3 A3 System Analysis

  19. How to explore design space? • Brute force? How many function evaluations? • Evolutionary methods, derivative free - GA, SA! • How to compute derivatives? • Time intensive models • noisy models Surrogate models - DOE/RSM, DACE Variable Fidelity Methods Sensitivity Analysis

  20. ? Problem statement Modeling & Simulation environment Integrating models Sensitivity analysis (derivatives) Optimization technology etc.

More Related