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.     

Advances and trends in plastic forming technologies for welded tubes

With the implementation of environmental protection, sustainable development and conservation-oriented policies, components and parts of thin-walled welded tubes have gained increasing application in the aircraft and automotive industries because of their advantages: easily achieving forming and manufacturing process at low cost and in a short time. The current research on welded tube plastic forming is mainly concentrated on tube internal high-pressure forming, tube bending forming, and tube spinning forming. The focuses are on the material properties and characterization of welded tubes, finite element modeling for welded tube forming, and inhomogeneous deformation behavior and the mechanism and rules of deformation coordination in welded tube plastic forming. This paper summarizes the research progress in welded tube plastic forming from these aspects. Finally, with a focus on the urgent demand of the aviation, aerospace and automotive industries for high-strength and light-weight tubes, this paper discusses the development trends and challenges in the theory and technology of welded tube plastic forming in the future. Among them,laser tailor-welded technology will find application in the manufacture of high-strength steel tubes.Tube-end forming technology, such as tube flaring and flanging technology, will expand its application in welded tubes. Therefore, future studies will focus on the FE modeling regarding how to consider effects of welding on residual stresses, welding distortions and microstructure, the inhomogeneous deformation and coordination mechanism of the plastic forming process of tailor-welded tubes, and some end-forming processes of welded tubes, and more comprehensive research on the forming mechanism and limit of welded tubes.     

强约束条件下星座一体化优化设计方法研究

针对星座构形一体化设计时，由于约束条件复杂而导致求解困难的问题，提出了自适应序列约束边界法和约束邻域排斥策略，以进化算法为基础构成了星座构形一体化优化设计方法。应用此方法进行了全球导航星座构形一体化优化设计，设计结果表明该方法能够高效解决综合考虑多种设计因素、具有离散／连续混合变量、无导数信息的星座构形一体化优化设计问题。     

单周期冲跃飞行轨迹性能参数影响程度分析

对高超声速飞行器的单周期冲跃飞行轨迹进行了研究。建立了动力学模型和约束条件。仿真分析了升阻比、初始速度和初始弹道倾角对飞行轨迹性能的影响,并讨论了影响程度,确定了适于该飞行器的最佳飞行走廊,为后续的冲跃飞行轨迹完整设计和优化提供了参考。     

中继卫星多址链路调度问题的约束规划模型及算法研究

中继卫星多址链路调度问题是中继卫星系统应用中必须解决的重要问题,其重要特点在于,中继卫星与用户航天器之间并非时时可见,因此通信任务存在可见时间窗口约束。只有在可见时间窗口内,通信任务才可能执行并完成。在进行合理假设的基础上,采用人工智能中的约束规划技术,建立中继卫星多址链路调度问题的约束规划模型,并提出了基于时间窗口期望值的多步迭代算法。应用结果表明,中继卫星多址链路调度模型的建立与求解是合理的。     

Robust model predictive control for satellite formation keeping with eccentricity/inclination vector separation

This study presents model predictive formation control based on an eccentricity/inclination vector separation strategy. Alternative collision avoidance can be accomplished by using eccentricity/inclination vectors and adding a simple goal function term for optimization process. Real-time control is also achievable with model predictive controller based on convex formulation. Constraint-tightening approach is address as well improve robustness of the controller, and simulation results are presented to verify performance enhancement for the proposed approach.     

采用改进非支配近邻免疫算法的低轨混合星座设计优化

针对低轨同构星座覆盖资源在纬度上分布不均匀的不足,提出采用低轨混合星座提升覆盖均匀性的设计方案,并推导了满足全球任意点平均每天覆盖一定次数的最小卫星规模估算公式。针对非支配近邻免疫算法（NNIA）约束处理方面的不足,提出基于约束支配的改进非支配近邻免疫算法（Modified NNIA）,并以此设计了一种低轨混合星座优化平台来优化带约束的星座设计问题。仿真结果表明,改进的NNIA算法在收敛速度和多样性上均优于非支配分层遗传算法（NSGA II）和多目标粒子群算法（MOPSO）,可大大提高星座设计的效率。同时优化结果也表明低轨混合星座可提高覆盖的均匀性和大部分区域的覆盖次数,进而减少特定覆盖要求所需的卫星数目。     

对地观测DSS任务分配问题的CSP模型与算法

任务分配是对地观测分布式卫星系统(Distributed Satellites System, DSS)自主协作运行过程中的一个重要环节. 针对任务分配中的约束满足问题(Constraint Satisfaction Problem, CSP), 以DSS完成任务总耗能最少为原则, 构建了任务分配问题的CSP模型, 并引入MAS理论中的合同网协议, 给出模型的求解算法, 通过仿真算例对模型和算法进行了验证.      

喷水预冷却发动机与导弹一体化设计

以一种高声速导弹作为应用对象,计算了喷水预冷却发动机的安装特性,建立了导弹/喷水预冷却发动机一体化设计的约束分析和任务分析模型,给出了高超声速导弹的升阻特性的确定方法,结合任务剖面、导弹的重量组成以及发动机模型,取爬升率为100m/s,80m/s和50m/s对导弹的爬升和加速任务段进行约束分析,选择巡航马赫数为4.0,5.0和6.0三种情况进行了导弹任务分析。计算结果表明,建立的导弹/发动机一体化约束分析与任务分析模型合理,当巡航马赫数小于5.0时,虽然装备喷水预冷却发动机与亚燃冲压发动机的导弹相比爬升率和加速度较低,但是导弹射程却有较大幅度的提高,因而在高声速导弹的应用是可行的。     

轻型飞行模拟器并联机构约束检验算法的研究

采用6-3UPS边置式座舱结构的轻型飞行模拟器,其工作空间受约束条件的限制。在数学描述的基础上,对影响工作空间的各项约束检验算法进行研究,并分析约束条件下轻型飞行模拟器的工作空间,为控制算法的研究提供依据。