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Global optimization using LLIMAS for the design of vibration isolation systems of high-uncertainty payloads
Author(s): J. Rey; G. Stoeckel
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Paper Abstract

Modern space system prototyping calls for bold, non-sequential approaches to engineering design. Embracing such an approach poses a new challenge on the design of passive vibration isolation systems: Accommodating large uncertainties in the payloads they support. Isolators are typically tuned and configured to the exact mass properties of the payload and do not perform well outside those assumptions. The number of candidate isolator configurations across which random vibration performance must be assessed also presents a significant challenge. This effort is observed to scale with 10^N, where N is the number of design variables studied. Here, 10^24 practical, unique designs were available. Our work describes the application of robust optimization techniques, global search algorithms, and massively parallelized job execution inside the LLIMAS software environment to overcome such computational challenges and identify isolator configurations that provide acceptable attenuation over a wide range of payload assumptions. Final geometry for the selected point design is presented, and performance comparisons of gradient-based, local, robust, non-robust and genetic algorithms are discussed.

Paper Details

Date Published: 17 September 2019
PDF: 9 pages
Proc. SPIE 11100, Optomechanical Engineering 2019, 1110008 (17 September 2019); doi: 10.1117/12.2533403
Show Author Affiliations
J. Rey, MIT Lincoln Lab. (United States)
G. Stoeckel, MIT Lincoln Lab. (United States)


Published in SPIE Proceedings Vol. 11100:
Optomechanical Engineering 2019
Keith B. Doyle; Jonathan D. Ellis, Editor(s)

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