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Reliability Based Design Optimization of a CubeSat De-Orbiting Mechanism

机译:基于可靠性的CubeSat离轨机制设计优化

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We optimize de-orbiting mechanism of a 3-Unit satellite structure to enable a reliable and efficient orbit decay process through enhancement of aerodynamic drag with a probabilistic design approach. The system consists of spiral springs as energy producing mechanisms needed for deployment and thin membranes needed as aero-brake structures. A multi-objective optimization problem is formulated to maximize both aerodynamic drag force and also moment produced by spiral springs for a carefree and fast orbit decay. Mass of membranes and stresses acting on spiral springs are subjected to constraints for lightweight and durability. An in-house code is developed to evaluate the deterministic optimization criteria in terms of the optimization variables which are attributes of thin membranes and spiral springs. In space environment, atmospheric density is highly affected by solar radiation and also the system components are strictly related to manufacturing quality, so uncertainties in design parameters are incoorperated into optimization and a reliability based design optimization of the de-orbiting mechanism is performed. Dimensions of membrane structures, outside diameter of spiral springs and atmospheric density are considered to be uncertain parameters. These uncertainties are propagated by Monte Carlo Simulation method which is integrated into reliability evaluation loop in the optimization framework. Finally, de-orbiting duration values of pareto optimal designs are computed using Satellite Tool Kit where it is shown that the selected optimum design is expected to satisfy the specified maximum life-time criterion.
机译:我们优化了3单元卫星结构的去轨机制,以通过概率设计方法增强空气阻力来实现可靠而有效的轨道衰减过程。该系统由螺旋弹簧作为展开所需的能量产生机构,并由薄膜作为空气制动结构。制定了一个多目标优化问题,以使空气动力学阻力和螺旋弹簧产生的力矩最大化,从而实现无忧无虑且快速的轨道衰减。膜片的质量和作用在螺旋弹簧上的应力受到重量轻和耐用性的限制。开发了内部代码,以根据作为薄膜和螺旋弹簧属性的优化变量来评估确定性优化标准。在空间环境中,大气密度受太阳辐射的影响很大,而且系统组件与制造质量严格相关,因此设计参数的不确定性不参与优化,并且对去轨机构进行了基于可靠性的设计优化。膜结构的尺寸,螺旋弹簧的外径和大气密度被认为是不确定的参数。这些不确定性通过蒙特卡洛模拟方法传播,该方法已集成到优化框架中的可靠性评估循环中。最后,使用Satellite Tool Kit计算了最佳优化设计的离轨持续时间值,该结果表明所选的优化设计有望满足指定的最大使用寿命标准。

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