08999_slides

08999_slides - A Multiobjective Multidisciplinary Design...

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A Multiobjective, Multidisciplinary Design Optimization Methodology for the Conceptual Design of Distributed Satellite Systems Cyrus D. Jilla Presented by Dan Hastings SSPARC IAB Meeting May 16, 2002 Chart: 1 MIT Space Systems Laboratory
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Motivation Objective: To develop a methodology for mathematically modeling the Distributed Satellite System (DSS) conceptual design problem as an optimization problem to enable an efficient search for the best families of solutions within the system trade space. Motivation: The trade-space for DSS’s is enormous - too large to enumerate, analyze, and compare all possible system architectures. MDO techniques have been applied successfully across many fields to find the solutions to complex problems. “… the conceptual space systems design process is very unstructured designers often pursue a single design concept, patching and repairing their original idea rather than generating new alternatives.” - Proceedings of the 1998 IEEE Aerospace Conference A design that is globally optimized on the basis of a system metric(s) is likely to vary drastically from a design that has been developed by optimizing each subsystem . A methodology is needed that will enable a greater search of the trade space and explore design options that might not otherwise be considered during the Conceptual Design Phase (when lifecycle cost gets locked in). Chart: 2 MIT Space Systems Laboratory
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Case Studies Name: Terrestrial Planet Finder Mission: Terrestrial Planet Detection/ Characterization Sector: Civil Sponsor: NASA TS Size: 640 Architectures [Martin, 2000] [Boeing, 2002] Name: TechSat 21 Mission: Ground Moving Target Indicator (GMTI) Sector: Military Sponsor: AFRL TS Size: 732,160 Name: Broadband Communication Mission: High Data Rate Communication Services Sector: Commercial Sponsor: Private Company TS Size: 42,400 Architectures [Beichman et al, 1999] Chart: 3 MIT Space Systems Laboratory Image removed due to copyright considerations. Image removed due to copyright conisderations. Image removed due to copyright considerations.
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1980’s onward NASA Langley Research Center Aeronautics Astronautics Stanford, The Aerospace Corporation, German Academic Institutions 1995 University of Colorado 1996-1998 University of Colorado 1999-2002 - Nonlinear - Multiobjective Subsystems: Aerodynamics Structures Launch Vehicles Spacecraft Design Constellation Design Distributed Satellite Systems Past Work – Literature Review Sobieski et al Middle 1990’s Kroo, Braun, et al Matossian (MILP) Mosher (Genetic Alg.) Riddle (Dynamic Prog.) MIT – Jilla & Miller - System of Systems Chart: 4 MIT Space Systems Laboratory
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The MMDOSA Methodology 12 3 Create the GINA Model Perform Univariate Studies Take a Random Sample of the Trade Space Formulate and Apply MDO Algorithm(s) Interpret Results (Sensitivity Analysis) Converge on System Architectures for the Next Phase of the Design Process Iterate 5 7 6 Chart: 5 MIT Space Systems Laboratory 4
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MIT Space Systems Laboratory Constellation Top Trades
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This note was uploaded on 11/08/2011 for the course AERO 16.851 taught by Professor Ldavidmiller during the Fall '03 term at MIT.

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08999_slides - A Multiobjective Multidisciplinary Design...

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