Size Optimization of Microsatellite Primary Structure

DOI

10.2991/icadme-16.2016.63How to use a DOI?

Keywords

Structural Size Optimization, CAD/CAE, Microsatellite Design

Abstract

This paper focuses on structural size optimization. The optimization problem of "TianTuo-3" microsatellite, which is successfully launched in September 20, 2016, is formulated mathematically. The most character of the problem is that outcomes under certain inputs are analyzed by commercial software, rather than analytical formulations. Solving the problem could be computationally unaffordable. Two kinds of algorithms, gradient-based and intelligent, are applied and compared in effect and efficiency. Results show that although both algorithms of NLPQL and ASA get a good effect, with total mass reduced 33.1% for the former and 32.7% the latter, NLPQL is more efficient, with less iterations (nearly half of ASA). It can be concluded that nonlinearity of the objective function and constraints are not strong and gradient-based algorithms are qualified to the problem with high efficiency.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ning Wang
AU  - Yong Zhao
AU  - Wen Yao
AU  - Yi Zhang
PY  - 2017/07
DA  - 2017/07
TI  - Size Optimization of Microsatellite Primary Structure
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 386
EP  - 392
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.63
DO  - 10.2991/icadme-16.2016.63
ID  - Wang2017/07
ER  -