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Structural and Multidisciplinary Optimization

, Volume 61, Issue 1, pp 207–223 | Cite as

Multi-objective layout optimization for an orbital propellant depot

  • Zhi-Zheng XuEmail author
  • Feng Jiang
  • Chong-Quan Zhong
  • Yong-Jie Gou
  • Hong-Fei Teng
Research Paper
  • 83 Downloads

Abstract

The overall layout optimization design of an orbital propellant depot involves the optimization of shape, size, and positions of propellant tanks in functional module and the optimization of positions of equipment in service module, with the aim of making the carrying capacity of propellant, dry/wet ratio, and mass properties meet the allowable values. To alleviate the difficulty in dealing with the overall optimization problems involving two modules of the orbital propellant depot, a step-by-step modeling and solving strategy is presented. Two multi-objective optimization mathematical models for the tanks in functional module (model I) and the equipment in service module (model II) are constructed separately, which are solved one after another. In the solution process of the two models, model I is solved firstly and the obtained optimization solution is transmitted to model II as a known condition. We mainly focus on the layout optimization of equipment in the service module and give a batch component assignment and layout integration optimization method. In the proposed method, all the components are grouped firstly according to the functional subsystem, and then the obtained component groups are sorted in descending order of their feature values. Finally, the sorted component groups are added into the service module one by one for both assignment optimization and layout optimization. The computational results of the case study show that the obtained Pareto solutions meet the given allowable values of carrying capacity of propellant, dry/wet ratio, and mass properties of the orbital propellant depot.

Keywords

Component assignment Component layout Multi-objective optimization Orbital propellant depot 

Notes

Funding information

This work was supported by the National Natural Science Foundation of China under grant No. 61472062.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

158_2019_2354_MOESM1_ESM.rar (719 kb)
ESM 1 (RAR 718 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Control Science and EngineeringDalian University of TechnologyDalianChina
  2. 2.School of Electrical Engineering and AutomationJiangsu Normal UniversityXuzhouChina
  3. 3.Shanghai Academy of Spaceflight TechnologyShanghaiChina
  4. 4.School of Mechanical EngineeringDalian University of TechnologyDalianChina
  5. 5.School of Computer Science and TechnologyDalian University of TechnologyDalianChina

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