2022
DOI: 10.1016/j.cja.2021.03.033
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Parameter optimization for torsion spring of deployable solar array system with multiple clearance joints considering rigid–flexible coupling dynamics

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Cited by 24 publications
(5 citation statements)
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References 46 publications
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“…Dou and Zhou [18] developed a drop-deployment process for folding solar-powered UAVs based on Lagrange's equation and identified differences between flexible and rigid bodies during deployment. Li et al [19] studied the sensitivity of design parameters of the solar panels of satellite folding array PV cell deployment mechanism and analyzed the effects of locking time, stabilization time, contact force, and clearance on the rigid-flexible coupled system from the perspective of multibody dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…Dou and Zhou [18] developed a drop-deployment process for folding solar-powered UAVs based on Lagrange's equation and identified differences between flexible and rigid bodies during deployment. Li et al [19] studied the sensitivity of design parameters of the solar panels of satellite folding array PV cell deployment mechanism and analyzed the effects of locking time, stabilization time, contact force, and clearance on the rigid-flexible coupled system from the perspective of multibody dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the deployable mechanism for space applications has gradually become the focus of research [1]. A lot of work has been executed on mechanism design [2][3][4] and dynamic characteristics [5][6][7]. The focus is on deployable antennae [8,9] and spatial multi closed-loop linkage.…”
Section: Introductionmentioning
confidence: 99%
“…Chu et al 16 applied a genetic algorithm to ensure that each cable achieves the required tension and effectively avoided the problem of nonconvergence. Li et al 17 adopted a hierarchical optimisation strategy based on an adaptive simulated annealing algorithm and a nondominated sorting genetic algorithm for solar array systems with gap joints to eliminate gross errors caused by nonlinear and nonsmooth mechanical properties. McAdams and Li 18 proposed a genetic algorithm to develop an origami structure with the best geometric, functional and foldable properties for incorporating the final shape design into the computational origami design and optimisation process.…”
Section: Introductionmentioning
confidence: 99%