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.     

Accurate approximation of in-ecliptic trajectories for E-sail with constant pitch angle

Propellantless continuous-thrust propulsion systems, such as electric solar wind sails, may be successfully used for new space missions, especially those requiring high-energy orbit transfers. When the mass-to-thrust ratio is sufficiently large, the spacecraft trajectory is characterized by long flight times with a number of revolutions around the Sun. The corresponding mission analysis, especially when addressed within an optimal context, requires a significant amount of simulation effort. Analytical trajectories are therefore useful aids in a preliminary phase of mission design, even though exact solution are very difficult to obtain. The aim of this paper is to present an accurate, analytical, approximation of the spacecraft trajectory generated by an electric solar wind sail with a constant pitch angle, using the latest mathematical model of the thrust vector. Assuming a heliocentric circular parking orbit and a two-dimensional scenario, the simulation results show that the proposed equations are able to accurately describe the actual spacecraft trajectory for a long time interval when the propulsive acceleration magnitude is sufficiently small.     

样条函数在轨道计算中的应用

提出了在已知现速度的情况下，用样条函数计算视加速度的新方法，避免了传统牛顿插值法的不可靠性及由此而产生轨道重构错误的缺点，仿真结果表明用样条函数法重构的轨道精度明显优于牛顿插值法。     

纤维缠绕复合材料壳体中金属嵌件的受力分析及优化设计

本文对一纤维缠绕复合材料壳体中金属嵌件进行了受力分析及形状设计。通过受力分析与设计使得复合材料与金属嵌件接触面应力分布合理化，保证了接触面的变形协调，得到了优化的金属嵌件形式。     

二次抛物线型面喷管参数的优化选择

二次抛物线型面是火箭发动机喷管较常用的一种型面，对其参数进行优化选择是必要的，在喷管型面长度和出口扩张半角确定的条件下，优化方法是把比冲作为目标函数，利用一维等熵流的气动力公式，二次抛物线型面的几何关系和计算机求极大值方法，确定达到比冲最佳值的设计变量一喷管初扩张角和出口马赫数。     

链式缠绕机缠绕参数编程设计

文中根据链式缠绕机运动规律,并结合C630型车床式缠绕机特点对缠绕机缠绕参数的选择进行了编程设计和优化计算。     

导弹随机飞行仿真的建模研究

本文研究了导弹的六自由度（６ＤＯＦ）空间运动制导系统的基本特性，建立了导弹随机飞行模块化数字仿真结构。在随机干扰作用下，应用协方差分析描述函数技术（ＣＡＤＥＴ），分析弹着点的散布，获得了较满意的结果。文中主要讲述了方波控制的导弹的有关问题，但所给方法对其它类型的导弹也是同样适用的。     

用于导弹系统性能统计分析的统计线性化伴随法

本文在研究ＳＬＡＭ方法基础上，进行了理论推导和计算方法方面的改进，并将此方法应用于导弹系统性能的统计分析，计算机仿真结果表明该方法与采用ＣＡＤＥＴ方法的结果完全一致。     

基于遗传算法和空间推进方法的高超声速进气道优化设计研究

将遗传算法（单目标遗传算法GA和多目标遗传算法NSGA-Ⅱ、NCGA）与高效、高精度的卒间推进方法——SSPNS（Single-sweep Parabolized Navier-Stokes Algorithm）流场计算方法相结合，对二维高超声速进气道进行了气动优化设计研究。在单目标优化设计中以巡航点（Ma=7．0）的总压恢复最大为设计目标，多目标设计中则在巡航点分别考察了总压恢复最大-压升最大两目标模型、总压恢复最大-压升最大-阻力系数最小三目标模型。优化设计结果表明，单目标设计使得总压恢复有明显提高；多目标优化设计所得的Pareto最优前沿为设计者提供了可靠的设计依据。为了兼顾巡航点和加速爬升段的综合忭能，采用多目标优化方法对进气道进行了多点优化设计，并开展了基于等动压弹道的设计点选择问题初步研究。计算结果表明，若将设计点选在Ma=6．5左右，则进气道的综合性能较好。     

导弹机动飞行的弹道参数估算

为简化计算,根据导弹的质心运动方程,通过近似处理导出了导弹机动飞行中助推段、跨越段和机动段弹道参数的估算公式。仿真计算表明,该估算公式的计算结果与理论公式的偏差较小,且方法简便,可用于导弹机动飞行的弹道设计。