改进PointNetLK的点云智能配准与位姿图优化方法

针对空间在轨服务任务中的非合作目标相对位姿测量问题,提出一种目标可测部位点云的智能配准方法。首先,通过Straight Through滤波算法对半物理仿真平台采集得到的点云进行目标提取,以消除背景数据等杂乱信息;其次,改进PointNetLK神经网络点云配准算法,将提取后的点云数据作为输入,从而获得初步配准结果,解决非合作目标先验信息缺失导致的无法配准问题;最后,建立基于位姿图的优化模型,以降低配准误差,提高配准精度。实验结果表明,与传统迭代最近点(ICP)算法相比,配准综合误差从6.3598降低到1.7291,精度提高约 72.81% 单次耗时从33.16 s降低到4.2 s,效率提升约87.33%,与当前SM ICP等其他算法相比,也具有一定的优势。     

基于左手材料的翼面隐身结构设计及优化

翼面隐身结构能同时满足飞行器机翼气动、结构和隐身的要求,但在空间有限的机翼中应用时,由于结构特点使其隐身效果受到限制。为了解决该问题,在传统隐身结构中加入左手材料(LHM)进行改进。首先选取一种典型的LHM,从隐身设计角度出发,利用其雷达散射截面(RCS)计算不同入射角度下的后向吸收率,对其电磁特性进行研究。然后根据LHM的电磁特性,将其应用于翼面隐身结构,在相同的RCS减缩效果下,应用LHM可有效降低隐身结构体积。最后,为了进一步提高隐身效果,提出一种夹芯型LHM翼面隐身结构,并对该隐身结构中的结构参数利用代理模型进行优化。研究结果表明,相较金属翼面段RCS降低了15dB以上,较相同结构的翼面隐身结构RCS降低了10dB以上。     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

Generalized Kutta–Joukowski theorem for multi-vortex and multi-airfoil flow(a lumped vortex model)

For purpose of easy identification of the role of free vortices on the lift and drag and for purpose of fast or engineering evaluation of forces for each individual body,we will extend in this paper the Kutta–Joukowski(KJ) theorem to the case of inviscid flow with multiple free vortices and multiple airfoils. The major simplification used in this paper is that each airfoil is represented by a lumped vortex,which may hold true when the distances between vortices and bodies are large enough. It is found that the Kutta–Joukowski theorem still holds provided that the local freestream velocity and the circulation of the bound vortex are modified by the induced velocity due to the outside vortices and airfoils. We will demonstrate how to use the present result to identify the role of vortices on the forces according to their position,strength and rotation direction. Moreover,we will apply the present results to a two-cylinder example of Crowdy and the Wagner example to demonstrate how to perform fast force approximation for multi-body and multi-vortex problems. The lumped vortex assumption has the advantage of giving such kinds of approximate results which are very easy to use. The lack of accuracy for such a fast evaluation will be compensated by a rigorous extension,with the lumped vortex assumption removed and with vortex production included,in a forthcoming paper.     

Aeroelastic two-level optimization for preliminary design of wing structures considering robust constraints

An aeroelastic two-level optimization methodology for preliminary design of wing struc- tures is presented, in which the parameters for structural layout and sizes are taken as design vari- ables in the first-level optimization, and robust constraints in conjunction with conventional aeroelastic constraints are considered in the second-level optimization. A low-order panel method is used for aerodynamic analysis in the first-level optimization, and a high-order panel method is employed in the second-level optimization. It is concluded that the design of the abovementioned structural parameters of a wing can be improved using the present method with high efficiency. An improvement is seen in aeroelastic performance of the wing obtained with the present method when compared to the initial wing. Since these optimized structures are obtained after consideration of aerodynamic and structural uncertainties, they are well suited to encounter these uncertainties when they occur in reality.     

扩压叶栅最佳弯叶片生成线与进口马赫数之间的关系

为了研究扩压叶栅最佳弯叶片生成线与叶栅进口马赫数之间的关系,用优化的方法,在八个不同进口马赫数下对弯叶片生成线(积叠线)的弯角和弯高进行优化,优化的目标函数为叶栅总压损失系数。结果表明:在同一弯角下,弯叶片总压损失系数随弯高的增大而减小,弯高为50%时总压损失系数最小,最佳弯叶片生成线的弯高为50%。在同一弯高下,总压损失系数随弯角增大呈现类似抛物线的形式的变化规律,存在着一个最佳弯角使总压损失系数最小。在不同进口马赫数下,最佳弯角随着进口马赫数的增加而增大,通过三次多项式曲线拟合得到了一个相对准确的最佳弯角与进口马赫数之间的关系。     

基于LBM-LES方法的多段翼型流场数值模拟

运用Lattice Boltzmann(LB)方法与Large Eddy Simulation(LES)结合的方法数值模拟研究了二维翼型绕流流场,其中,粒子速度模型采用D2Q9模型,松弛时间中对应的湍流粘性系数由Smagorinsky模型计算,网格生成方法采用无网格技术。对NACA0012翼型进行数值模拟,验证其有效性;为进一步研究其模拟复杂物体绕流的能力,以三段翼型30P30N为研究对象进行数值研究,计算出了给定攻角条件下的气动特性,并与实验值进行比较。计算结果表明,LBM-LES方法的计算结果能够与实验值一致,是一种可行、有效且较新的数值模拟方法。     

翼型舵面偏转非定常流动数值模拟

针对NACA0012翼型舵面偏转问题,数值模拟了不同参数对翼型气动特性的影响。基于非结构动网格技术,采用ALE有限体积描述下的二维可压缩非定常N-S方程,计算通量采用Vanleer格式、时空二阶格式,利用Venkatakrishnan限制器抑制数值振荡。非定常计算结果表明,NACA0012翼型绕1/4弦点作周期性俯仰振动的升力系数和俯仰力矩系数结果与实验数据吻合良好,验证了数值方法的准确性;在翼型舵面表面有分离区产生,升力系数和俯仰力矩系数形成滞回环,在亚声速情况下,滞回环幅值较小,进入超声速阶段以后,幅值增大,随着翼型间缝隙宽度逐渐增加,翼型升力系数和俯仰力矩系数与无缝翼型相比逐渐降低。     

舰载机增升装置对薄翼型升力系数的影响研究

描述了增升装置在提高舰载机薄翼型升力系数方面的作用,观察到大偏角前缘襟翼小迎角时对翼型升力曲线的影响,并通过与试验现象对比,初步探讨了非线性作用形成的可能机理。利用数值模拟方法,通过有限元计算软件对相同流场中多种增升装置的升力系数进行了模拟与比较,从而达到合理设计舰载战机翼型的目的。CFD计算结果表明,所设计的二维多段翼型有良好的气动特性,升力系数得到提高,具有较好的增升效果。     

基于主动失谐优化的叶轮瞬态加减速振动抑制

提出了一种基于主动失谐优化的叶轮瞬态加减速振动抑制方法.首先建立了瞬态加减速激励下的叶轮降阶模型,获得了表征失谐对瞬态振幅影响的失谐放大因子.然后基于降阶模型,采用蒙特卡洛仿真快速计算了一系列瞬态激励下失谐放大因子的概率密度分布,结果表明:失谐放大因子在大多数瞬态激励下受到随机小失谐的影响大于在稳态激励下受到的影响,且...