Surrogate assisted multidisciplinary design optimization for an all-electric GEO satellite

Shi, Renhe; Liu, Li; Li, Teng; Liu, Jian; Yuan, Bin

doi:10.1016/j.actaastro.2017.05.032

Cited by 39 publications

(15 citation statements)

References 30 publications

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“…Xu HW et al [9] dealt with time-varying uncertainty by proposing a multi-disciplinary robust design optimization method based on time-varying sensitivity analysis through a multi-disciplinary optimization design. MDO provides a good solution in the fields of launch vehicle design optimization, hard rock tunnel boring machine performance design optimization, and all-electric GEO satellite design optimization [10][11][12][13][14]. The MOD technology has incomparable advantages in solving the optimization design problem of large-scale complex systems engineering.…”

Section: Introductionmentioning

confidence: 99%

Multi-Disciplinary Optimization Design of Axial-Flow Pump Impellers Based on the Approximation Model

et al. 2020

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This study adopts a multi-disciplinary optimization design method based on an approximation model to improve the comprehensive performance of axial-flow pump impellers and fully consider the interaction and mutual influences of the hydraulic and structural designs. The lightweight research on axial-flow pump impellers takes the blade mass and efficiency of the design condition as the objective functions and the head, efficiency, maximum stress value, and maximum deformation value under small flow condition as constraints. In the optimization process, the head of the design condition remains unchanged or varies in a small range. Results show that the mass of a single blade was reduced from 0.947 to 0.848 kg, reaching a decrease of 10.47%, and the efficiency of the design condition increased from 93.91% to 94.49%, with an increase rate of 0.61%. Accordingly, the optimization effect was evident. In addition, the error between the approximate model results and calculation results of each response was within 0.5%, except for the maximum stress value. This outcome shows that the accuracy of the approximate model was high, and the analysis result is reliable. The results provide guidance for the optimal design of axial-flow pump impellers.

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Section: Introductionmentioning

confidence: 99%

Multi-Disciplinary Optimization Design of Axial-Flow Pump Impellers Based on the Approximation Model

et al. 2020

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“…French and Griffin 15 Empirical and analytical High All 1991, 2004 Wertz et al 1,2 Empirical, analytical, and statistical High All 1992, 1999, 2011 Brieb et al 16 Analytical Not available LEO 1996 Fukunaga et al 17 Analytical and numerical Not available LEO 1997 Riddle 18 Analytical and numerical High LEO 1998 Galeazzi 19 Analytical Not available LEO 2000 Underwood et al 20 Analytical Medium LEO 2001 Kim and Morgenthaler 21 Analytical and numerical Not available All 2002 Brown 4 Empirical, analytical, and statistical High All 2002 Fortescue et al 3 Empirical and analytical High All 2003, 2011 Chang et al 22 Analytical Not available LEO 2005 Zhao et al 23 Empirical, analytical, and numerical Not available -2006 Jafarsalehi et al 24 Analytical and numerical High LEO 2012 Emison et al 25 Analytical Medium LEO 2014 Hwang et al 26 Analytical Not available -2014 Shi et al 27 Analytical and numerical Not available GEO 2017 Quantius 28 Analytical Not available -2017…”

Section: Ref Methods Computational Efforts Orbit Yearmentioning

confidence: 99%

FADSat: A system engineering tool for the conceptual design of geostationary Earth orbit satellites platform

Mirshams

Zabihian

2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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With regard to the increasing use of satellites platform in the geostationary orbit, a system engineering tool, FADSat, has been developed to reduce the prohibitive cost and time of their conceptual design phase. The proposed tool effectively conducts the design of the geostationary Earth orbit satellite platform lying in the mass range of 1–7000 kg. The main feature of the FADSat is to determine the conceptual design of the satellite platform with both high time performance and acceptable accuracy. Using this tool, one can readily extract the characteristics of the structure, attitude determination and control, command and data handling, electrical power, and other subsystems of a satellite. The FADSat exploits a statistical design model in the first instance to yield a rough estimation of the satellite design, i.e. a rapid extraction of the budgets for mass, power, and dimensions of the satellite subsystems as well as the cost of the satellite. Then, using a parametric design model approach, it performs subsystems design more accurately and ascertains their component specifications in terms of a catalog of products with corresponding manufacturers. A database of 462 geostationary Earth orbit communication satellites (with 30 different geostationary Earth orbit satellites platforms (launched from 2000 to 2017 has been used in this paper to implement the statistical design model approach. This tool developed in the LabVIEW software is capable of contributing to the satellite production phases as a connection to the hardware simulators of different subsystems. Herein, after describing the general concepts utilized in the satellite design, we have introduced various parts and relations of the FADSat tool. The tool’s accuracy was amply verified through flight prototypes, indicating an average error of 15% in the obtained results.

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“…The merits of MDO have been widely proven in the design practices of engineering systems, such as aircraft [5][6][7][8][9][10], automobiles [11][12][13], ships [14,15], and electric devices [16,17]. In the past decade, MDO has also been applied to aerospace systems, including satellites [18][19][20][21], constellations [20,22,23], and launch rockets [24][25][26][27], to improve the overall system performance.…”

Section: Introductionmentioning

confidence: 99%

Metamodel-based multidisciplinary design optimization methods for aerospace system

Shi

et al. 2021

Astrodyn

Self Cite

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The design of complex aerospace systems is a multidisciplinary design optimization (MDO) problem involving the interaction of multiple disciplines. However, because of the necessity of evaluating expensive black-box simulations, the enormous computational cost of solving MDO problems in aerospace systems has also become a problem in practice. To resolve this, metamodel-based design optimization techniques have been applied to MDO. With these methods, system models can be rapidly predicted using approximate metamodels to improve the optimization efficiency. This paper presents an overall survey of metamodel-based MDO for aerospace systems. From the perspective of aerospace system design, this paper introduces the fundamental methodology and technology of metamodel-based MDO, including aerospace system MDO problem formulation, metamodeling techniques, state-of-the-art metamodel-based multidisciplinary optimization strategies, and expensive black-box constraint-handling mechanisms. Moreover, various aerospace system examples are presented to illustrate the application of metamodel-based MDOs to practical engineering. The conclusions derived from this work are summarized in the final section of the paper. The survey results are expected to serve as guide and reference for designers involved in metamodel-based MDO in the field of aerospace engineering.

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Surrogate assisted multidisciplinary design optimization for an all-electric GEO satellite

Cited by 39 publications

References 30 publications

Multi-Disciplinary Optimization Design of Axial-Flow Pump Impellers Based on the Approximation Model

Multi-Disciplinary Optimization Design of Axial-Flow Pump Impellers Based on the Approximation Model

FADSat: A system engineering tool for the conceptual design of geostationary Earth orbit satellites platform

Metamodel-based multidisciplinary design optimization methods for aerospace system

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