Several key problems in automatic layout design of spacecraft modules *

Sun, Zhiguo; Teng, Hong‐Fei; Liu, Zhanwei

doi:10.1080/10020070312331344460

Cited by 13 publications

(5 citation statements)

References 4 publications

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“…This problem involves interference detection and measurement. 12 Interference detection makes a judgment on whether the geometry of two objects will overlap with each other or not, while interference measurement quantifies the amount of probable overlap between two objects. There are various approaches for detection and measurement of interference between objects or interference between objects and boundary of a container.…”

Section: Detail Layout Designmentioning

confidence: 99%

“…Equations (11) and (12) show the constraints of the satellite static balance in the form of centroid offset of the satellite-system, where O m ¼ ðx m , y m , z m Þ is the real centroid of the whole system and O e ¼ ðx e , y e , z e Þ is the expected centroid position which is preferred to be coincident to satellite geometry center. Allowable error has been defined by the ðx e , y e , z e Þ parameter.…”

Section: Detail Layout Designmentioning

confidence: 99%

“…Sun et al focused five key problems in automatic layout design of spacecraft modules that consisted of modeling and algorithms, interference calculation, theory and applications of layout topological pattern, decision-making in layout design and pragmatic approaches in engineering practice. 12 In some investigations, layout design has been done in two (initial and detailed) stages, in order to decrease the level of computational complexity and also obtain a smooth search space. [13][14][15][16] In the initial stage of layout, bearing plate surfaces were assigned to each object and in the detailed layout design, the exact locations of objects could be found by optimization methods.…”

Section: Introductionmentioning

confidence: 99%

“…Extraction of a suitable formulation in mathematics and suitable solution strategy are the main problem for automatic layout design. 12 In this research, in order to optimize the layout design of satellite objects, an algorithm which consists of two stages, primary and detail layout, is proposed. In order to express geometric constraints mathematically, and to provide a smooth design space, a new concept based on the Finite Circle Method (FCM) is used.…”

Section: Introductionmentioning

confidence: 99%

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Layout and configuration design for a satellite with variable mass using hybrid optimization method

Fakoor

Taghinezhad

2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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This article deals with configuration design and layout optimization of a GEO communication satellite. Layout design optimization of satellite objects are performed based on two-stage algorithm. Finite Circle Method (FCM) is used to express geometric constraints mathematically, and provide a smooth design space. For mathematical expression of performance constraints such as electromagnetic and thermal requirements, the distance constraints between objects have been developed. Then a hybrid method is proposed to optimize layout design which is a combination of simulated annealing optimization and quasi-Newton methods. This approach provides global and deterministic optimal solutions. Developed hybrid method validation is performed on a sample test problem. Finally, the proposed algorithm has been implemented for configuration and optimal layout design of a communication satellite. The results show that considered constraints of communication satellite are satisfied.

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Section: Detail Layout Designmentioning

confidence: 99%

Section: Detail Layout Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Layout and configuration design for a satellite with variable mass using hybrid optimization method

Fakoor

Taghinezhad

2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…It belongs to a combinatorial optimisation problem in mathematics, a complex layout conceptual design in mechanics and a human-computer co-operative problem in artificial intelligence. Its main difficulties lie in computing complexity, engineering complexity and applicability in engineering practice (1) . In 1997, Braun (2) adopted a multilevel collaborative approach in the solution of launch vehicle design.…”

Section: Introductionmentioning

confidence: 99%

Human-computer co-operative co-evolutionary method and its application to a satellite module layout design problem

et al. 2010

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ADSautomated design synthesis AIs artificial intelligence solutions a i lengths of the longer edge of Obj i b i lengths of the shorter edge of Obj i BLX blend crossover operator CCEF co-operative co-evolutionary framework CCGA co-operative co-evolutionary genetic algorithm C the large constant C 1 , C 2 , ..., C k the normalising coefficients of each sub-objective function CCEF name co-operative co-evolutionary framework C i = {P i ,R i } the permissible location area of the ith object C max1 the big positive numbers to ensure that the value of the (C max1 -T p ) is larger than zero C max2 the big positive numbers to ensure that the value of the (C max2 -NObj) is larger than zero CR ∈ [0,1] a cross factor D the feasible region of variable X DE differential evolution ABSTRACTThe layout design of a satellite module is a complex mechanical layout problem. Its main difficulties lie in combinatorial explosion of computational complexity, engineering complexity, and applicability in engineering practice. Inspired by the human-computer cooperation ideas, a human-computer co-operative co-evolutionary method for optimising layout design of a satellite module is developed. This method constructs the diversity reference set by using the diversity intelligence solutions (DIs) that are created by using the combinatorial operators of differential evolution (DE) and the blend crossover operator (BLX-a). During the co-evolution process of the presented method, the AIs, the DIs and the algorithm solutions are expressed by unified encoding strings and incorporated together to create new co-operative solutions. An instance of a satellite module layout design is presented to demonstrate the feasibility and effectiveness of the proposed method. Compared with the co-evolutionary approach and the all-at-once optimisation approaches, computational results show that the proposed method not only can produce better solutions, but also can better balance the conflicting objectives on the trade-off issues.

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