Formation flight of fixed-wing UAV swarms: A group-based hierarchical approach

This paper investigates a formation control problem of fixed-wing Unmanned Aerial Vehicle (UAV) swarms. A group-based hierarchical architecture is established among the UAVs, which decomposes all the UAVs into several distinct and non-overlapping groups. In each group, the UAVs form hierarchies with one UAV selected as the group leader. All group leaders execute coordinated path following to cooperatively handle the mission process among different groups, and the remaining followers track their direct leaders to achieve the inner-group coordination. More specifically, for a group leader, a virtual target moving along its desired path is assigned for the UAV, and an updating law is proposed to coordinate all the group leaders’ virtual targets; for a follower UAV, the distributed leader-following formation control law is proposed to make the follower’s heading angle coincide with its direct leader, while keeping the desired relative position with respect to its direct leader. The proposed control law guarantees the globally asymptotic stability of the whole closed-loop swarm system under the control input constraints of fixed-wing UAVs. Theoretical proofs and numerical simulations are provided, which corroborate the effectiveness of the proposed method.     

考虑多边界状态约束的飞翼布局无人机姿态控制

以大展弦比飞翼布局无人机为研究对象,针对强扰动环境下多边界状态约束时的飞行姿态控制问题,提出一种指令-控制律联合限制的全状态约束控制方法。该控制方法分别独立设计了指令边界限制器、过渡指令产生器和指令跟踪控制器3个部分。首先,基于无人机动力学特性设计的指令边界限制器,利用无人机的各个状态边界来限制姿态控制器的指令,实现了将非受控状态的约束问题转化为受控状态的约束问题;其次,基于"安排过渡过程"的思想并考虑约束限制环节,设计了过渡指令产生器,为无人机在线生成从当前姿态到期望跟踪姿态的过渡指令;最后,基于障碍Lyapunov函数和扩张状态观测器,设计了指令跟踪控制器,使无人机能够克服干扰且快速稳定地跟踪过渡指令。通过采用Lyapunov稳定性理论分析,该控制方法能够保证姿态跟踪误差收敛有界,且始终处于给定区间内部。仿真结果表明,该控制方法能够保证无人机飞行状态在不超出约束边界的同时,实现对姿态指令的准确跟踪。     

基于多流路体积力模型的翼身融合布局飞机计算方法

针对翼身融合布局(BWB)飞机分布式系统一体化研究方法存在计算资源耗费巨大的问题,发展基于多流路体积力的飞机分布式系统一体化计算方法。从沿流线的体积力模型出发,将压气机对气流的作用力用沿流线的源项场代替。将单流路的计算模型加以扩展,综合考虑分布式推进系统与BWB的耦合影响,在分布式推进系统的压缩系统所在区域添加体积力源项,建立多流路体积力计算模型。将其应用于某大型BWB飞机进行一体化数值仿真。结果显示:相较于传统的全周定常数值模拟方法,采用多流路的体积力模型能够在保证一定计算精度的条件下提高至少10倍的计算效率。     

ARINC 653分区实时系统的主时间框架设计

综合模块化航空电子系统中的ARINC 653标准规定系统采用分区内调度和分区间调度双层调度机制。根据标准,分区内的调度由分区设计者指定,分区之间则按照静态的主时间框架进行调度。如何基于多个分区应用设计用于分区间调度的主时间框架是系统集成阶段需要解决的问题。首先利用可调度分析导出了分区的有界延迟模型参数,进一步将该参数转化为分区的调度参数用于分区间调度。然后进行分区间调度生成主时间框架,提出了最少窗口数目匹配-最佳匹配（MFBF）算法用于减少分区窗口的切换次数。提出的从分区参数推导到分区间调度流程能够基于若干分区应用生成ARINC 653系统的主时间框架。实验结果表明:时间窗口优化算法能有效减少分区窗口切换次数。      

航天器任务规划中资源约束的可分配处理方法

面对深空探测过程中环境的不确定性和扰动,航天器需要利用任务规划技术实现自主控制。航天器应用规划算法时,需要考虑到执行活动时满足的时间约束和资源约束。通过分析资源约束之间的关系,提出了可重复资源在规划执行时的可分配处理方法,和判断资源变量是否满足的可分配性条件。通过航天器仿真算例,验证了可重复资源的可分配处理方法在规划执行时的有效性。     

日地Halo轨道的多约束转移轨道分层微分修正设计

针对日-地系统L1点（简称SEL1点）Halo轨道转移轨道设计中存在的多约束与初值敏感性问题,提出一种基于分层微分修正与初值多项式的设计方法。首先定义平动点转移轨道设计过程中存在的约束条件,然后根据不同的终端约束条件,重点给出了同时考虑轨道高度、轨道倾角、升交点赤经与航迹角等多约束条件下的分层微分修正方法。通过分析约束变量与控制变量之间的关系,得到能够解决微分修正初值问题的初值表达式。最后在多约束条件下设计了从轨道高度为200km的地球停泊轨道到SEL1点Halo轨道的转移轨道。仿真结果表明,分层微分修正方法能够处理多约束问题,且初值表达式可以为微分修正提供良好的初始条件,从而保证算法收敛,方法具有较好的实用性。     

Review of in-space assembly technologies

With the rapid development of space technology and the increasing demand for space missions, the traditional spacecraft manufacturing, deployment and launch methods have been unable to meet existing needs. In-space assembly (ISA) technologies can effectively adapt to the assembly of large space structures, improve spacecraft performance, and reduce operating costs. In this paper, the development and technologies for ISA are reviewed. ISA is classified from multiple angles, and the research status of ISA is shown clearly through the visual mapping knowledge domain. Then the development status of autonomous robot assembly in the United States, Europe, Japan, Canada and China is reviewed. Furthermore, the key technologies of ISA are analyzed from three aspects: assembly structure design, robot technologies and integrated management technologies. ISA technologies are still facing major challenges and need to be further explored to promote future development. Finally, future development trends and potential applications of ISA are given, which show that ISA will play a vital role in human space exploration in the future.     

一种低信噪比条件下的深空探测载波捕获算法

针对深空测控通信系统中,接收端收到的载波信号信噪比极低的特点,提出了一种时分复用的二维FFT载波捕获方法。该方法在降低资源消耗的情况下,能够有效实现低信噪比条件下的载波捕获。仿真实验表明,使用此种方法,能够在载噪比为17 dBHz的条件下,完成对载波频偏最大为100 kHz、载波频率变化率最大为100 Hz/s的载波信号的快速捕获,是一种兼顾性能和工程应用的捕获方法。