Conventional sequential methods are not bound to yield optimal solutions for design of physical systems and their corresponding control systems. However, by managing the interactions, combined physical and control system design (co-design) can produce superior optimal results. Existing Co-design methods are practical for moderate-scale systems; whereas, they can be impractical or impossible to use when applied to large-scale systems and consequently may limit our determination of an optimal solution. This work addresses this issue by developing a novel decomposition-based version of a co-design algorithm to optimize such large-scale dynamic systems. The new formulation implements a decomposition-based optimization strategy known as Analytical Target Cascading (ATC) to a co-design method known as Multidisciplinary Dynamic System Design Optimization (MDSDO) of a large-scale dynamic system. In addition, a new consistency measure was also established to manage time-dependent linking variables. Results substantiate the ability of the new formulation in identifying the optimal dynamic system solution.
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ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 26–29, 2018
Quebec City, Quebec, Canada
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5175-3
PROCEEDINGS PAPER
Decomposition-Based MDSDO for Co-Design of Large-Scale Dynamic Systems
Mohammad Behtash,
Mohammad Behtash
University of Cincinnati, Cincinnati, OH
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Michael J. Alexander-Ramos
Michael J. Alexander-Ramos
University of Cincinnati, Cincinnati, OH
Search for other works by this author on:
Mohammad Behtash
University of Cincinnati, Cincinnati, OH
Michael J. Alexander-Ramos
University of Cincinnati, Cincinnati, OH
Paper No:
DETC2018-85935, V02AT03A003; 10 pages
Published Online:
November 2, 2018
Citation
Behtash, M, & Alexander-Ramos, MJ. "Decomposition-Based MDSDO for Co-Design of Large-Scale Dynamic Systems." Proceedings of the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2A: 44th Design Automation Conference. Quebec City, Quebec, Canada. August 26–29, 2018. V02AT03A003. ASME. https://doi.org/10.1115/DETC2018-85935
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