Study of highly perturbed spacecraft formation dynamics via approximation

This paper explores methods for approximating and analyzing the dynamics of highly perturbed spacecraft formations with an emphasis on computationally efficient approaches. This facilitates on-board computation or rapid preliminary mission design analysis. Perturbed formation dynamics are often approximated as linear time-varying (LTV) systems, for which Floquet theory can be used to analyze the degree of system instability. Furthermore, the angular momentum of the relative orbital state can be computed with the approximate dynamics to provide additional insight. A general methodology is developed first and then applied to the problem of unstable formation dynamics in asteroid orbits. Here the dominant perturbative effects due to low-order gravitational harmonics and solar radiation pressure are modeled. Numerical simulations validate the approach and illustrate the approximation accuracy achieved.     

Optimization of bits allocation and path planning with trajectory constraint in UAV-enabled mobile edge computing system

In this paper, an Unmanned Aerial Vehicle (UAV) enabled Mobile Edge Computing (MEC) system is studied, in which UAV acts as server to offer computing offloading service to the Mobile Users (MUs) with limited computing capability and energy budget. We aim to minimize the total energy consumption of MUs by jointly optimizing the bit allocation for uplink, computing at the UAV and downlink, along with the UAV trajectory in a unified framework. To this end, a trajectory constraint model is employed to avoid sudden changes of velocity and acceleration during flying. Due to high-order information in use, we lead to a more reasonable nonconvex optimization problem than prior arts. An Alternating Direction Method of Multipliers (ADMM) method is introduced to solve the optimization problem, which is decomposed into a set of easy sub-problems, to meet the requirement on the efficiency in edge computing. Numerical results demonstrate that our approach leads a smoother UAV trajectory, significantly save the energy consumption for UAV during flying.     

太阳能飞机循环飞行的高度剖面能量策略

为满足设定的太阳能飞机多日连续飞行条件，依据飞行过程中当前时刻的飞行高度、光伏输出功率、动力电池组余量等系统状态参数，研究如何分配动力电池组充放电和电推进系统输入等功率。所用策略立足于实时功率平衡，充分利用正午前后的光伏峰值功率用于飞机爬升及充电，在午后下滑过程中利用全部光伏输出，以最大化利用光伏资源；在光伏有效输出不足时则以一定的维持功率下滑，使能量的综合损失最小。方法能够提高以预定夜间飞行高度连续多日续航的成功率，提升飞行高度、纬度、季节范围或搭载能力，或者拓展这几种飞行条件的组合域，优化太阳能飞机的适用性。     

战术导弹折叠翼快速展开性能的测试技术

介绍某些战术导弹折叠翼快速展开特性测试技术。详细地介绍了测量方法、项目、数据处理和主要结果。试验是在北京空气动力研究所一座低速风洞中进行的。试验结果表明，获得的数据具有很高精度和可靠性，重复性也是令人满意的。     

多臂协调操作自由飞行空间机器人的位置和内力混合控制

基于多臂自由飞行空间机器人多臂协调操使负载沿着期望的轨迹运动并且控制负载所受的内力为目的，在多臂自由飞行空间机器人系统协调操作的动力学方程基础上，推导了各个机械臂协调操作负载按期望轨迹运动时各个机械臂关节的驱动力矩的计算方法；给出了作用在负载的内力的定义，根据关节力矩计算方法和PID反馈控制原理，建立了多臂自由飞行空间机器人协调操作负载时的位置和内力的控制算法；讨论了所提出的控制算法的稳定性问题，得到了负载的位置误差和内力误差的约束条件。通过仿真实验证明该控制算法能够使负载的实际位姿和内力收敛到期望的轨迹和内力。     

离箱扰动和折叠翼展开数学模型研究

根据箱式发射导轨与导弹，导弹与折叠翼的约束特点，应用动力学普遍定理和解除约束原理，创建了离箱扰动运动数学模型和拆卸叠翼展开过程计算数学模型，并将计算结果与飞行试验结果作了比较。     

无人机自由编队飞行的补偿模糊神经网络控制

为了克服当前提出的无人机编队飞行的不足，提出一种新的无人机编队飞行概念——自由编队飞行，制定了相关的避让规则，用补偿模糊神经网络进行训练，实现自由编队飞行的补偿模糊神经网络控制。仿真显示，编队飞行的飞机能按照规则自主改变航路进行避让，表明了该方法的有效性。     

大型飞机高速气动力关键问题解决的技术手段及途径

大型飞机采用超临界机翼,并具有尺度大、飞行雷诺数高等特点,其研制中必须解决好高升阻比机翼、翼身组合体设计,推进系统/机体一体化设计,抖振特性、静气动弹性特性预测及超临界机翼流动控制等高速气动力问题。要解决这些关键气动力问题,必须进行一系列相关的大型高速风洞试验,以及解决相应的试验技术问题。     

动态三角翼的非定常气动特性和压力分布相关研究

文章介绍了不同后掠角三角翼在进行俯仰振荡时的动态压力特性,说明这种动态压力特性同三角翼的法向力的变化是密切相关的,试验研究揭示了流态、压力和气动力之间的密切关系。同时试验研究显示三角翼上翼面压力的动态变化曲线呈现出双峰形态;不同后掠角三角翼在动态试验过程中压力、法向力都具有相似特性。