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Application of Multidisciplinary Systems‐of‐Systems Optimization to an Aircraft Design Problem
Author(s) -
Subramanian Shreyas Vathul,
DeLaurentis Daniel A.
Publication year - 2016
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.21358
Subject(s) - multidisciplinary design optimization , engineering optimization , optimization problem , computer science , multidisciplinary approach , topology optimization , mathematical optimization , optimal design , complex system , engineering design process , systems design , control engineering , systems engineering , engineering , mathematics , artificial intelligence , mechanical engineering , finite element method , social science , structural engineering , machine learning , sociology
A generic mathematical formulation for Systems‐of‐Systems (SoS) optimization problems is presented. SoS optimization problems resemble the structure of a tree of Multidisciplinary Design Optimization (MDO) problems with additional unique features. The framework for solving such problems involves features from evolutionary computing, platform‐based design, and evolving design spaces. One important aspect of SoS Engineering, often overlooked, is the role it plays in improving the design of individual systems. In this vein, this work has sought to exemplify such a synergistic approach for aircraft design. A large‐scale SoS optimization problem for designing noise‐optimal aircraft and improved procedures for the approach phase is studied. Modules involving Computational Fluid Dynamics (CFD), noise modeling, multifidelity analysis, topology optimization, and autotuned control systems are used to obtain optimal solutions.