基于遗传算法的军事物流运输计划

针对军事物流运输中车辆装载和车辆路径的组合问题进行研究,建立车辆装载和车辆路径组合问题的目标优化模型。通过改进遗传算法对模型求解,得到了较为满意的结果,可以在满足多车型多品种货物配送约束的条件下,实现运输车辆最少、车辆满载率高、车辆运输路径最短的目标。     

Global aerodynamic design optimization based on data dimensionality reduction

In aerodynamic optimization, global optimization methods such as genetic algorithms are preferred in many cases because of their advantage on reaching global optimum. However, for complex problems in which large number of design variables are needed, the computational cost becomes prohibitive, and thus original global optimization strategies are required. To address this need, data dimensionality reduction method is combined with global optimization methods, thus forming a new global optimization system, aiming to improve the efficiency of conventional global optimization. The new optimization system involves applying Proper Orthogonal Decomposition (POD) in dimensionality reduction of design space while maintaining the generality of original design space. Besides, an acceleration approach for samples calculation in surrogate modeling is applied to reduce the computational time while providing sufficient accuracy. The optimizations of a transonic airfoil RAE2822 and the transonic wing ONERA M6 are performed to demonstrate the effectiveness of the proposed new optimization system. In both cases, we manage to reduce the number of design variables from 20 to 10 and from 42 to 20 respectively. The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.     

旋翼桨叶动力学设计技术

桨叶动力学设计,其实质是求解非线性高维动力学逆问题的具体实施。本文较全面地阐述了这方面的进展情况,提出了切实可行、有效实用的数值方法。     

自行开发的图形组件在航空发动机设计集成系统中的应用

结合具体开发的图例,阐述了自行开发、应用于航空发动机设计集成系统的图形组件的功能、应用情况和关键技术。     

飞机加装组合导航系统方案

论述了飞机加装组合导航系统的技术性能及系统配置的情况。     

Angles-only relative orbit determination in low earth orbit

The paper provides an overview of the angles-only relative orbit determination activities conducted to support the Autonomous Vision Approach Navigation and Target Identification (AVANTI) experiment. This in-orbit endeavor was carried out by the German Space Operations Center (DLR/GSOC) in autumn 2016 to demonstrate the capability to perform spaceborne autonomous close-proximity operations using solely line-of-sight measurements. The images collected onboard have been reprocessed by an independent on-ground facility for precise relative orbit determination, which served as ultimate instance to monitor the formation safety and to characterize the onboard navigation and control performances. During two months, several rendezvous have been executed, generating a valuable collection of images taken at distances ranging from 50?km to only 50?m. Despite challenging experimental conditions characterized by a poor visibility and strong orbit perturbations, angles-only relative positioning products could be continuously derived throughout the whole experiment timeline, promising accuracy at the meter level during the close approaches. The results presented in the paper are complemented with former angles-only experience gained with the PRISMA satellites to better highlight the specificities induced by different orbits and satellite designs.     

基于实测星载原子钟数据的脉冲星守时方法

利用脉冲星估计星载原子钟钟差是实现卫星自主守时的途径之一。为充分分析基于脉冲星的自主守时系统性能，利用实测的星载原子钟钟差数据和中子星内部组成探测器(neutron star interior composition explorer, NICER)的PSR B1937+21脉冲星的观测数据，对比分析了星载原子钟和脉冲星的误差特性。设计了脉冲星守时系统框架和星载原子钟钟差估计方法。以实测的星载原子钟钟差数据为基础，计算分析了脉冲星守时系统的性能。计算结果表明，若脉冲星的脉冲到达时间（time of arrival, TOA）解算精度为1 μs/30 d，则原子钟钟差估计精度可达到优于1 μs的水平，初步验证了脉冲星守时系统的可行性。     

由感知到动作决策一体化的类脑导航技术研究现状与未来发展

随着脑与神经科学以及人工智能技术的持续发展，昆虫和哺乳动物大脑导航机理启发下的感知/认知/路径规划/动作决策一体化类脑导航技术得到了较大发展，可以实现由原始感知信息输入到导航动作决策的直接输出，呈现出接近动物端到端面向目标导航的智能行为，具有提高密集型无人机集群导航鲁棒性、准确性、实时响应动作、自主智能性以及计算效率的潜力。阐述了昆虫和哺乳动物大脑导航机理及其互补对称关系，以及昆虫和哺乳动物大脑导航机理启发的端到端类脑导航技术内涵；论述了类脑导航技术研究进展，包括类脑环境感知、类脑空间认知、面向目标类脑导航；分析了类脑导航向智能化、神经形态系统以及群体导航发展的新趋势；最后讨论了类脑导航技术应用于无人机密集集群系统时存在的挑战。