满足约束的Gn连续过渡曲面的构造

在Erich Hartmann提出的由两基曲面线性组合构造G^n连续过渡曲面方法的基础上，针对该方法存在很难找到合适的参数变换的问题，提出了一种基于基曲面局部区域重新参数化构造G^n连续过渡曲面的方法。通过对基曲面上切触线附近区域部分曲面重新参数化，再由重新参数化局部基曲面线性组合构造G^n连续过渡曲面。这样将两基曲面间构造过渡曲面的问题转化为在重新参数化局部基曲面间构造过渡曲面。以构造G^1连续的翼身融合面为例，讨论了满足约束要求条件时G^2连续过渡面的构造方法。即先对基曲面上过渡切触线附近的局部区域进行重新参数化，后通过优化求解来确定比例因子和偏移量、平衡因子和调配因子，使过渡曲面满足前后边条线约束，最后利用线性组合来构造G^2连续的过渡面。约束过渡曲面的形状可通过改变重新参数化基曲面的大小来调整．     

多约束实数权的直接数据域算法在空时自适应处理中的应用

传统的空时自适应处理算法通过权矢量幅度和相位的改变来实现,本文研究了空时自适应处理中一种改进的直接数据域(Directdata domain,DDD)算法。该方法仅通过权矢量幅度的改变,对一次样本数据进行处理,有效地抑制杂波和干扰,实现对目标信号的正确估计。采用实数权减小了运算量,降低系统的复杂程度。当目标信号的方向与天线波束指向有偏差时,采用多约束的方法,保证系统在目标信号方向的增益。仿真结果表明该方法的有效性。     

Percolation transition in temporal airport network

The air transportation system has a critical impact on the global economy. While the system reliability is essential for the operational management of air traffic, it remains challenging to understand the network reliability of the air transportation system. This paper focuses on how the global air traffic is integrated from local scale along with operational time. The integration process of air traffic into a temporally connected network is viewed as percolation process by increasing the integration time constantly. The critical integration time T_P which is found during the integration process can measure the global reliability of air traffic. The critical links at T_P are also identified, the delay of which will influence the global integration of the airport network. These findings may provide insights on the reliability management for the temporal airport network.     

基于图像识别的机械振动信号特征提取与寿命预测方法研究

滚动轴承作为许多机械设备的关键组件,被广泛应用于机械制造、航空航天等领域,其健康状态直接影响了相应设备的剩余寿命,因此在设备故障预测与健康管理(Prognostics and Health Management, PHM)领域,滚动轴承寿命预测具有很高的研究价值。目前基于数据驱动的轴承寿命预测方法主要利用特征提取并构造健康因子(Health Indicator, HI),然而在这一过程中特征的选择与融合依然依赖于专家先验知识,并且健康因子也很难从复杂的时序数据中进行提取。因此,提出了一种新型的数据驱动寿命预测算法,在特征提取方面,通过连续小波变换(Continuous Wavelet Transform,CWT)将传感器振动信号转换为时频谱图,再通过深度残差网络(Deep residual network, ResNet)结合时空卷积网络(Temporal Convolutional Network, TCN)将时频谱图中的时域频域特征构造成为健康因子,最后完成剩余寿命预测。本研究在PRONOSTIA数据集上与现有的数据驱动算法进行了对比,证明了该算法可以更准确地完成剩余寿命预测。     

A review of topology optimization for additive manufacturing: Status and challenges

Topology optimization was developed as an advanced structural design methodology to generate innovative lightweight and high-performance configurations that are difficult to obtain with conventional ideas. Additive manufacturing is an advanced manufacturing technique building as-designed structures via layer-by-layer joining material, providing an alternative pattern for complex components. The integration of topology optimization and additive manufacturing can make the most of their advantages and potentials, and has wide application prospects in modern manufacturing. This article reviews the main content and applications of the research on the integration of topology optimization and additive manufacturing in recent years, including multi-scale or hierarchical structural optimization design and topology optimization considering additive manufacturing constraints. Meanwhile, some challenges of structural design approaches for additive manufacturing are discussed, such as the performance characterization and scale effects of additively manufactured lattice structures, the anisotropy and fatigue performance of additively manufactured material, and additively manufactured functionally graded material issues, etc. It is shown that in the research of topology optimization for additive manufacturing, the integration of material, structure, process and performance is important to pursue high-performance, multi-functional and lightweight production. This article provides a reference for further related research and aerospace applications.     

基于多模型预测的再入飞行器制导方法

在具有控制和轨迹约束的再入制导中,提出了一种新的基于多模型预测再入飞行器纵向制导方法。首先对再入飞行器的纵向运动方程沿着标准轨道线性化,基于分段仿射约束系统建模理论逼近原非线性系统,并采用线性矩阵不等式(LMIs)优化技术离线将保证闭环系统稳定的终端二次代价项求出;然后,在每个制导周期内,基于多模型预测在线求解构造好的有限时域优化目标,从而获得控制量的增量,并把第一个控制增量分量与标准轨道的控制量叠加后形成全量控制,用于实际再入轨道的制导,而在下一个制导周期基于新的状态参数重复上面的优化过程。数字仿真结果证实了所提方法的有效性。     

采用排间界面静压约束伴随方法的多级压气机叶片优化

为解决伴随优化应用在多级压气机中出现的优化工况点漂移问题,在前期薄层N-S方程伴随方法基础上,对目标函数——出口熵增不仅施以质量流量、总压比约束,还添加排间界面静压展向分布作为新的约束条件.以某5级压气机为对象,对其中第1级转、静叶分别在首1.5级和全5级压气机环境下进行了优化.结果表明,施加排间界面静压展向分布约束能够显著解决优化工作点漂移问题,优化后5级压气机的效率提高0.4个百分点.      

多机场协同决策进离场航班排序模型及算法研究

多机场终端区内的航线网络错综复杂,来往同一方向的航班会共用一个交接点,航班的起飞降落不仅要考虑各方向航空器的运行间隔和各受限单元容量的限制,还需着重考虑交接点的间隔限制.基于终端区多机场多元受限情况,建立了终端区多机场协同决策进离场航班排序模型,并设计了递归遗传算法.首先以各机场为单位采用遗传算法进行航班排序,得出各机场延误时间最小的排队序列,之后将各机场航班在交接点处进行聚类并排序,再将各交接点的排队序列反推回各机场,运用递归算法不断优化各机场的航班序列,在保证安全运行的基础上,最终得出各机场的航班排队序列.仿真结果表明,该算法优化效果显著,各机场的总延误时间减少了48.2％,可有效缓解多机场航班延误.     

满足多约束的主动段能量管理制导方法

高超音速飞行器运载任务需要满足多项约束条件,针对耗尽关机型固体运载火箭需要在主动段进行能量管理.基于控制推力和速度之间夹角来实现主动段能量管理的思路,综合交变姿态控制能量管理(AEM,Alternate Attitude Control Energy Management)和一般能量管理(GEM,General Energy Management),提出了样条能量管理(SEM,Spline Energy Management)制导方法,并针对分离前定轴飞行约束条件进行了修正.以三级运载火箭为例,通过AEM,GEM和SEM对比,验证了样条能量管理制导方法的可行性.     

基于粒子群算法的航天器姿态机动路径规划

研究航天器在星载设备受多种几何约束情况下,大角度姿态机动时的姿态路径规划问题.采用罗德里格斯参数描述姿态,将姿态机动路径规划问题转化为点机器人的三维路径规划问题.基于粒子群优化技术设计了航天器复杂约束下大角度姿态机动的路径规划算法.数值仿真结果表明,该方法对于复杂约束下航天器姿态机动的运动规划是有效的.