Spacecraft Component Adaptive Layout Environment (SCALE): An efficient optimization tool

Abstract For finding the optimum layout of spacecraft subsystems, important factors such as the center of gravity, moments of inertia, thermal distribution, natural frequencies, etc. should be taken into account. This large number of effective parameters makes the optimum layout process of spacecraft subsystems complex and time consuming. In this paper, an automatic tool, based on multi-objective optimization methods, is proposed for a three dimensional layout of spacecraft subsystems. In this regard, an efficient Spacecraft Component Adaptive Layout Environment (SCALE) is produced by integration of some modeling, FEM, and optimization software. SCALE automatically provides optimal solutions for a three dimensional layout of spacecraft subsystems with considering important constraints such as center of gravity, moment of inertia, thermal distribution, natural frequencies and structural strength. In order to show the superiority and efficiency of SCALE, layout of a telecommunication spacecraft and a remote sensing spacecraft are performed. The results show that, the objective functions values for obtained layouts by using SCALE are in a much better condition than traditional one i.e. Reference Baseline Solution (RBS) which is proposed by the engineering system team. This indicates the good performance and ability of SCALE for finding the optimal layout of spacecraft subsystems.

[1]  Carl E. Behrens,et al.  Space Launch Vehicles: Government Activities, Commercial Competition, and Satellite Exports , 2006 .

[2]  Mahdi Fakoor,et al.  Layout and configuration design for a satellite with variable mass using hybrid optimization method , 2016 .

[3]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[4]  Hong-Fei Teng,et al.  Optimal layout design of a satellite module , 2003 .

[5]  James E. Braun,et al.  Optimal Placement of Electronic Components to Minimize Heat Flux Nonuniformities , 2011 .

[6]  Walter Abrahão dos Santos,et al.  A Multidisciplinary Design Optimization Tool for Spacecraft Equipment Layout Conception , 2014 .

[7]  Yishou Wang,et al.  Cooperative co‐evolutionary scatter search for satellite module layout design , 2009 .

[8]  Ana Paula Curty Cuco,et al.  A multi-objective methodology for spacecraft equipment layouts , 2015 .

[9]  Shenyan Chen,et al.  Satellite Multidisciplinary Design Optimization with a High-Fidelity Model , 2013 .

[10]  H. Baier,et al.  Approaches for further rationalisation in mechanical architecture and structural design of satellites , 2003 .

[11]  Shahin Khoddam,et al.  Passive control and layout optimization of Mesbah small satellite , 2003 .

[12]  Yong Zhao,et al.  Optimization design of satellite separation systems based on Multi-Island Genetic Algorithm , 2014 .

[13]  M. Ferebee,et al.  Optimization of payload placement on arbitrary spacecraft , 1991 .

[14]  Bao Zhang,et al.  Layout optimization of satellite module using soft computing techniques , 2008, Appl. Soft Comput..

[15]  Joaquim R. R. A. Martins,et al.  Large-Scale Multidisciplinary Optimization of a Small Satellite’s Design and Operation , 2014 .

[16]  Hong-fei Teng,et al.  Layout optimization for the objects located within a rotating vessel - a three-dimensional packing problem with behavioral constraints , 2001, Comput. Oper. Res..

[17]  M. Tahar Kechadi,et al.  Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications , 2010, Expert Syst. Appl..

[18]  Ye Yan,et al.  Analytical solutions to optimal underactuated spacecraft formation reconfiguration , 2015 .

[19]  Wiley J. Larson,et al.  Spacecraft Structures and Mechanisms : From Concept to Launch , 1995 .

[20]  Tyler Winter,et al.  Development of a Multidisciplinary Design Analysis and Optimization Toolset for Integrated Spacecraft Subsystem Models , 2016 .

[21]  Melvin J. Ferebee,et al.  Optimization of payload mass placement in a dual keel space station , 1987 .

[22]  Young-Keun Chang,et al.  SEDT (System Engineering Design Tool) development and its application to small satellite conceptual design , 2007 .

[23]  E. Rocco Multi-Objective Optimization Applied to Satellite Constellation I: Formulation of the Smallest Loss Criterion , 2003 .

[24]  Kalyanmoy Deb,et al.  Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling , 2007, EMO.

[25]  Renbin Xiao,et al.  Two hybrid compaction algorithms for the layout optimization problem , 2007, Biosyst..

[26]  S. Baskar,et al.  NSGA-II algorithm for multi-objective generation expansion planning problem , 2009 .

[27]  Wei Zeng,et al.  A Dual-System Variable-Grain Cooperative Coevolutionary Algorithm: Satellite-Module Layout Design , 2010, IEEE Transactions on Evolutionary Computation.

[28]  James R. Wertz,et al.  Space Mission Analysis and Design , 1992 .

[29]  K. Palanikumar,et al.  Optimization of electrical discharge machining characteristics of WC/Co composites using non-dominated sorting genetic algorithm (NSGA-II) , 2008 .

[30]  Lu Wang,et al.  A hybrid multi-mechanism optimization approach for the payload packing design of a satellite module , 2016, Appl. Soft Comput..

[31]  Christopher J. Damaren,et al.  Spacecraft Dynamics and Control: An Introduction , 2013 .