Multidisciplinary design optimization of dynamic systems using surrogate modeling approach
Deshmukh, Anand
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https://hdl.handle.net/2142/44209
Description
Title
Multidisciplinary design optimization of dynamic systems using surrogate modeling approach
Author(s)
Deshmukh, Anand
Issue Date
2013-05-24T21:54:15Z
Director of Research (if dissertation) or Advisor (if thesis)
Allison, James T.
Department of Study
Industrial&Enterprise Sys Eng
Discipline
Industrial Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Dynamical Systems
Surrogate Modeling
Multidisciplinary Design Optimization
Wind Turbine Design
Abstract
This thesis aims to explore a new paradigm for efficient solution of multi-disciplinary design optimization (MDO) of dynamic systems. Many of the MDO problems in dynamic systems design often involve computationally expensive system simulations, severely limiting their design optimization. This work demonstrates a novel method which approximates the expensive system dynamics by cheap-to-evaluate surrogate models for system derivative functions. This is advantageous to do, since it preserves the inherent nature
of dynamic system to certain accuracy and enables the effi cient solution of MDO problems at the same time. The proposed method is demonstrated on a real world example of wind turbine design and obtained results are very
encouraging.
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