Reachable set estimation for spacecraft relative motion based on bang-bang principle

For spacecraft formation flight, the information of relative motion reachable set is very important, which can be used to predict the operating boundary of adjacent spacecraft and thus to ensure the safety of spacecraft operation. In this paper, we aim at developing a numerical method to approximate the reachable set for spacecraft relative motion. In particular, we focus on the quality of the approximation and the computational cost. Based on the bang-bang control principle, a polyhedral approximation algorithm is proposed to compute the reachable set of a relative motion spacecraft system. An inner approximation and an outer approximation of the reachable set for the system can be obtained. We prove that the approximation quality measured in Hausdorff distance can be guaranteed. The method is easy to implement and has low computational cost. Finally, the effectiveness of the algorithm is demonstrated by experimental simulation.     

航天器多约束交会的仅测角导航最优多目标闭环制导

研究了航天器多约束交会的仅测角导航最优多目标闭环制导问题，优化目标包括交会时间、燃耗和仅测角导航可观性指标，并考虑了视觉传感器视场角、推力器推力幅度和最小安全距离等各种约束条件，建立了多约束、多目标优化下的仅测角导航和闭环制导问题的数学模型，分析了仅测角导航和闭环制导之间的耦合关系。最后，通过Matlab遗传算法工具箱中的多目标优化函数,求解得到了该多目标优化模型的Pareto最优解集，结果显示交会时间、燃耗和仅测角导航可观性指标不能同时达到最优，存在相互制约关系，即提高其中一种优化目标的性能会降低其他优化目标的性能。     

平流层飞艇三叶螺旋桨结构优化方法

为实现螺旋桨轻质量和高固有频率之间的权衡设计，发展了1种桨叶对称削层结构的分区优化方法。为拓宽其高效率的速度和高度范围，应采用变桨距技术，需要设计圆柱形桨叶根部。该桨叶与不同桨距角的桨毂组合装配，可实现人工变桨距，在地面试验中达到高空转速。该螺旋桨采用组合分体式桨毂布局、桨叶内部填充泡沫和碳纤维混合结构，基于NSGA-Ⅱ（non-dominated sorting genetic algorithm），完成了支座固支的桨叶铺层参数优化，得到桨叶质量和频率的Pareto解集，在±10%频率安全裕度外选取最优铺层方案，并与实物测试值对比，结果表明：桨叶质量相对误差2.09%；支座固支的单桨叶频率相对误差9.30%；桨毂固支的组合体频率相对误差2.76%，避开了工作转速共振区间，证明该结构优化方法是合理有效的。     

Warhead power assessment based on double hierarchy hesitant fuzzy linguistic term sets theory and gained and lost dominance score method

Warhead power assessment of the anti-ship missile plays a vital role in determining the optimal design of missile, thus having important strategic research significance. However, in the assessment process, expert’s judgement will directly affect the assessment accuracy. In addition,there are many criteria involved in the missile design alternatives. Some criteria with poor performance may be compensated by other criteria with excellent performance, and then it is impossible to find the truly opt...     

A serialized civil aircraft R&D cost estimation model considering commonality based on BP algorithm

The common design of serial civil aircraft, an important strategy of modern civil aircraft research and develop-ment, minimizes the whole life cycle cost of civil aircraft through asset reuse and resource sharing. However, the existing estimating model for the R&D cost of civil aircraft ignores the effects of common design, so the value estimated by estimating derivative models is significantly inconsistent with the actual one. To solve this problem, a novel assessment method for civil aircr...     

分瓣电刷在试验机组直流电机中的应用

直流电机的容量越大,相对的电枢电流也就越大。设计上,大电流直流电机的绕组形式通常采用双蛙绕组,这种绕组结构形式相对复杂,影响换向的因素较多。以一台试验机组直流电机使用不同电阻率的电刷进行无火花换区测试,试验结果对比分析表明:使用高电阻率的分瓣电刷可以增大电刷横向电阻,从而减小流过换向元件的短路环流,消除刷下火花,改善电机换向。同时,电刷采用切向错位排列有助于降低换向元件的电抗电势,从而更好地改善电机的换向性能。     

A robust Poisson multi-Bernoulli filter for multi-target tracking based on arithmetic average fusion

The coalescence and missed detection are two key challenges in Multi-Target Tracking (MTT). To balance the tracking accuracy and real-time performance, the existing Random Finite Set (RFS) based filters are generally difficult to handle the above problems simultaneously, such as the Track-Oriented marginal Multi-Bernoulli/Poisson (TOMB/P) and Measurement-Oriented marginal Multi-Bernoulli/Poisson (MOMB/P) filters. Based on the Arithmetic Average (AA) fusion rule, this paper proposes a novel fusion framework for the Poisson Multi-Bernoulli (PMB) filter, which integrates both the advantages of the TOMB/P filter in dealing with missed detection and the advantages of the MOMB/P filter in dealing with coalescence. In order to fuse the different PMB distributions, the Bernoulli components in different Multi-Bernoulli (MB) distributions are associated with each other by Kullback-Leibler Divergence (KLD) minimization. Moreover, an adaptive AA fusion rule is designed on the basis of the exponential fusion weights, which utilizes the TOMB/P and MOMB/P updates to solve these difficulties in MTT. Finally, by comparing with the TOMB/P and MOMB/P filters, the performance of the proposed filter in terms of accuracy and efficiency is demonstrated in three challenging scenarios.     

基于粗糙集的多岛礁要地防空威胁评估

文章以多岛礁要地防空作战需求为牵引,结合现代防空反导作战新特点,综合考虑空袭目标的主要因素和要地的相对价值,在遭受多目标攻击情况下,利用粗糙集理论,从不精确、不一致、不完整等大量不完备信息中求取最小不变集合,求解最小规律集,得出指标权重,并对目标的威胁等级进行排序。粗糙集理论能够大大提高提取有用信息的效率,从而揭示不完备信息中隐含的规律。经过案例分析,表明该方法能够客观地对空袭目标的威胁等级进行排序,对于多岛礁要地防空作战决策研究具有一定的参考价值。