An optimization tool for satellite equipment layout

Selection of the satellite equipment layout with performance constraints is a complex task which can be viewed as a constrained multi-objective optimization and a multiple criteria decision making problem. The layout design of a satellite cabin involves the process of locating the required equipment in a limited space, thereby satisfying various behavioral constraints of the interior and exterior environments. The layout optimization of satellite cabin in this paper includes the C.G. offset, the moments of inertia and the space debris impact risk of the system, of which the impact risk index is developed to quantify the risk to a satellite cabin of coming into contact with space debris. In this paper an optimization tool for the integration of CAD software as well as the optimization algorithms is presented, which is developed to automatically find solutions for a three-dimensional layout of equipment in satellite. The effectiveness of the tool is also demonstrated by applying to the layout optimization of a satellite platform.     

行星际Halo轨道转移的多目标优化设计

研究了星历约束下不同太阳—行星系统Halo轨道间转移的多目标优化设计问题。分析了直接和间接两种转移方式的特点,并引入伪流形技术加快了Halo轨道的逃逸和捕获速度。构建了两种转移机制的多目标优化模型。对于直接转移方式,采用伪流形双向拼接策略实现了转移轨道的构建;对于间接转移方式,通过近拱点庞加莱映射与双曲超速匹配完成了转移轨道的拼接。进一步,采用多项式样条函数对伪流形进行逼近,提高了伪流形的计算效率。两种转移机制的轨道优化设计都可以归结为简单的多变量无约束优化问题,采用非支配快速排序遗传算法NSGA-II求解。对地球—火星Halo轨道间的转移进行了多目标优化设计,校验了本文方法的有效性。     

基于NSGA-II算法的航天产品装配公差多目标优化

针对航天产品装配公差优化设计问题,提出一种引入装配成本的多目标优化方案。在考虑航天产品装配过程中成功率低、成本高问题的基础上,建立基于产品成本及质量损失的装配公差的多目标优化数学模型,利用带精英策略的非支配排序遗传算法(NSGA-Ⅱ),以装配功能要求和加工能力为约束条件,对装配公差进行优化求解,得到Pareto最优解集。以某空间站某型号组件为例,验证了该优化方法的有效性。通过建立归一化权重目标函数,获得优化的各组成环装配公差,利用该公差进行组件加工装配,提高了装配成功率,降低了产品加工成本及质量损失。     

高频扑动微扑翼飞行器多目标优化设计

微扑翼飞行器高频扑动时机翼与机身最大载荷急剧增加,严重影响飞行性能和飞行寿命。分析微扑翼扑动过程中机翼运动情况及受力情况,建立扑动过程中机翼升力、阻力和惯性力数学模型,提出以改善载荷在时间域上分布情况为目标的多目标优化模型,并且在Matlab环境下采用NSGA-Ⅱ算法进行求解,得到悬停状态下的Pareto最优解集。结果表明:提出的优化模型使升力峰值与惯性力峰值显著降低,载荷分布情况得到明显改善。     

A scheduling strategy to inter-satellite links assignment in GNSS

By introducing inter-satellite link (ISL), the dependence of the global navigation satellite system (GNSS) on ground infrastructure can be reduced and its performance enhanced via inter-satellite ranging and communication. Owing to platform restrictions, there are usually fewer onboard Ka-band ISL antennas than the number of visible satellites, which poses a problem when optimizing the inter-satellite links assignment of the GNSS. In this study, to optimize inter-satellite ranging and communication, a multi-objective optimization model is built and a scheduling strategy is proposed for the inter-satellite links assignment scheduling problem. The position dilution of precision (PDOP) of links and the transmission time-delay of telemetry data are set as the ranging performance and communication metrics, respectively. We regard the links assignment in each slot as a general graph-matching problem, and apply the Blossom algorithm to obtain the maximum matching. We then generate and optimize the satellite sequences for whole slots using non-dominated sorting genetic algorithm II (NSGA-II). The simulation scenes include 10,080 epochs of GNSS constellation, and the simulation results show that the performance of the proposed strategy is better than that of other methods published recently, and can provide various solutions to meet the different preferences of system managers.     

基于扇区负荷约束的管制移交间隔多目标优化模型

繁忙扇区的容量随着交通复杂性的改变而动态变化,现有的基于确定容量的管制移交间隔管理策略不再适用,且动态容量下频繁改变移交间隔也不利于空中管制指挥。本文首先通过将交通复杂性转化为管制工作负荷参数,解决移交间隔改变导致的容量动态变化问题,建立基于扇区负荷的容量流量匹配模型。其次设计管制移交间隔策略稳定性表征函数,提出以策略稳定性和延误成本为目标的管制移交策略优化模型和智能算法。最后基于昆明机场进近扇区实际数据进行仿真验证,证明本方法可以获得一组帕累托最优解,能够为流量管理部门发布管制移交策略以供决策支持。     

基于SVR和NSGA-II的钛合金铣削参数多目标优化

对钛合金材料Ti6Al4V铣削加工进行有限元数值计算,结合试验设计方法构建了基于支持向量回归机（SVR）的铣削力预测模型,以材料去除率和刀具寿命为优化目标,提出一种基于支持向量回归机和带精英策略的非支配排序遗传算法（NSGA-II）的优化方法。结果表明,该方法能够获得满意的Pareto解集,为钛合金铣削参数优化提供一种新的方法,具有良好的推广价值。     

Topology optimization of support structure of telescope skin based on bit-matrix representation NSGA-II

Non-dominated sorting genetic algorithm II（NSGA-II）with multiple constraints handling is employed for multi-objective optimization of the topological structure of telescope skin,in which a bit-matrix is used as the representation of a chromosome,and genetic algorithm（GA）operators are introduced based on the matrix.Objectives including mass,in-plane performance,and out-of-plane load-bearing ability of the individuals are obtained by fnite element analysis（FEA）using ANSYS,and the matrix-based optimization algorithm is realized in MATLAB by handling multiple constraints such as structural connectivity and in-plane strain requirements.Feasible confgurations of the support structure are achieved.The results confrm that the matrix-based NSGA-II with multiple constraints handling provides an effective method for two-dimensional multi-objective topology optimization.     

基于NSGA-II的停机位多目标指派建模与仿真

为探索大型机场停机位指派问题综合现实有效的解决方法,分析了停机位指派过程设计的利益主体,以最小化航空公司运行成本、最小化旅客步行距离、最小化航班冲突概率同时最大化航空公司之间的公平性为目标,建立大型机场停机位多目标指派模型。采用第2代非支配排序遗传算法(Non-dominated sorting genetic algorithm-Ⅱ,NSGA-Ⅱ)对模型进行仿真验证,该算法可以对多目标问题进行更高效的求解。分析不同迭代次数下的Pareto前沿解集的特性,并将优化解与随机指派结果进行对比,验证了该模型和算法的有效性。     

共固化粘弹性复合材料的结构多目标进化优化设计

共固化粘弹性复合材料结构兼具结构承载和阻尼减振能力,设计时需同时考虑强度、刚度、质量和阻尼性能等指标要求,且设计变量众多,因此传统的设计方法难以实现结构的优化设计。本文建立了共固化粘弹性复合材料结构的多目标优化模型,优化目标为结构质量最小化和模态损耗因子最大化,设计变量包括铺层厚度、方向角和阻尼层厚度,并考虑结构动刚度的约束条件。阻尼结构的分析采用基于有限元法的模态应变能法,进化优化采用改进的非支配排序多目标遗传算法(NSGA-II)。最后的优化算例表明将多目标遗传算法应用于共固化粘弹性复合材料结构阻尼/结构一体化设计的可行性。