Sequential dynamic resource allocation in multi-beam satellite systems:A learning-based optimization method

Multi-beam antenna and beam hopping technologies are an effective solution for scarce satellite frequency resources. One of the primary challenges accompanying with Multi-Beam Satellites(MBS) is an efficient Dynamic Resource Allocation(DRA) strategy. This paper presents a learning-based Hybrid-Action Deep Q-Network(HADQN) algorithm to address the sequential decision-making optimization problem in DRA. By using a parameterized hybrid action space,HADQN makes it possible to schedule the beam patte...     

无人机协同测控中SC-FDMA技术设计

针对无人机协同任务测控传输的多机接入问题,提出基于分布式任务分配模型的高动态SC-FDMA技术.通过将贪婪原则、信道动态分配机制和多用户接入技术结合,利用集中映射方式设计子信道数目可调的映射规则,配置各无人机节点所占用子载波数目.仿真结果表明,与传统FDMA、CDMA、TDMA、OFDMA等相比,基于SC-FDMA设计...     

一种基于模型预测的火星返回推力器容错控制再分配方法

针对火星返回上升器由于环境等因素造成的推力器故障导致的姿态控制系统失稳而难以安全返回的严重问题，提出基于模型预测的动态容错控制再分配方法。根据推力器动态特性建立上升器推力分配模型，对模型参数误差进行实时估计从而修正分配模型，根据模型预测自适应推力再分配方法实施容错控制。同时，将推力器输出限制作为优化求解器的约束，并将推力器故障模型作为优化求解的约束域，实现最小化分配误差和最小化燃料消耗意义下的最优推力再分配。计算机仿真表明了该方法的可行性和实用性，获得了满意的结果，它能使推力器输出推力误差降低60%以上，姿态控制系统能在故障状态下3～5 s快速镇定。     

Robust optimal sliding mode control for the deployment of Coulomb spacecraft formation flying

Inter-spacecraft electrostatic force (Coulomb force) is desirable for close formation flying control because of its propellant-less and free contaminate characteristics attributed to the propellant exhaust emission. This paper presents robust optimal sliding mode control to deal with the problem of thruster saturation in tracking the formation trajectory for Coulomb spacecraft formation flying. The robust controller design is based on optimal control theory as a linear quadratic system, and it is augmented with an integral sliding mode control technique. The stability of the closed-loop system is guaranteed using the second Lyapunov method. The developed controller outperforms the existing ones, because it has a higher degree of fine-tuning to cope with the uncertainty. Numerical simulations are employed to confirm the efficiency of the developed controller.     

力矩输出能力最优化混合执行机构操纵律设计

当航天器执行高动态敏捷机动或者姿态动态跟踪控制等任务时，常使用控制力矩陀螺（control moment gyroscope，简称CMG）和飞轮（reaction wheel，简称RW）构成的混合执行机构来提供大力矩。提出了基于力矩输出能力最优化的混合执行机构操纵律，从几何角度出发，给出了力矩输出能力最优的CMG框架角速度和RW角加速度，通过引入参数，并讨论参数的设置的最优，使得框架转速误差和输出力矩误差的混合二次型达到最小，保证了混合执行机构在输出力矩误差最小的情况下，力矩输出能力最优。以金字塔构型的CMG集群和正交的RW集群构成的混合执行机构为例，对基于力矩输出能力最优化的混合执行机构操纵律进行合理化分析，证明了引入参数的作用，并且证明了混合执行机构不存在CMG奇异情况。仿真结果表明，基于力矩输出能力最优化的混合执行机构操纵律解决了CMG奇异的问题并使得RW不陷入饱和，输出力矩误差较小，输出力矩能力强，能够应用于航天器大角度机动任务。     

柔性基座冗余机械臂的最优反作用控制

针对柔性基座冗余机械臂的末端轨迹跟踪问题，提出一种反作用最优控制方法，该算法将轨迹跟踪视为高优先级任务，而反作用优化控制在高优先级任务零空间内进行。由于冗余机械臂的自运动能在不影响末端运动的前提下改变关节运动，利用冗余机械臂的自运动消除振动系统中的低阶模态力，使机械臂在完成轨迹跟踪的同时激起的弹性振动大幅减小，从而提高了系统的稳定性。以平面3自由度柔性基座机械臂和空间7自由度柔性基座机械臂为例进行数值仿真，证实了方法的有效性。     

动态跳波束策略中的自适应波束功率分配算法

摘要：多波束卫星发射机的成本很高，同时地面小区的通信需求和通信优先级一直处在动态变化中。通过研究一种动态波束跳跃策略，实现在卫星资源受限和较少发射机数量约束下的广域覆盖和按需服务。区别于传统的分簇波束跳变思想，为了提高卫星系统的频谱效率，考虑在整个频率带宽上应用全局波束跳变。因此考虑在共信道干扰背景下，提出一种新型服务质量指标来衡量波束跳变结果。在卫星资源有限的情况下，各波束提供的通信容量不能满足地面小区的业务请求，基于粒子群算法选择的波束跳动图案，提出了一种自适应波束功率分配算法。该算法通过优先级加权，最小化波束业务容量需求差值，进而提高服务质量水平。最后，通过仿真验证了所提算法的性能优越性。     

Beam resource scheduling for a VHF-MIMO radar network in low-angle tracking

The low-angle tracking in multipath interference is a challenging problem for the Very High Frequency (VHF) radar. The colocated Multi-Input Multi-Output (MIMO) technique can remedy such a defect. In this paper, a Joint Beam-Target Assignment and Power Allocation (JBTAPA) strategy is proposed for the VHF-MIMO radar network tracking low-angle targets. The core of the JBTAPA strategy is to improve the worst tracking accuracy among multiple targets by assigning appropriate beams to targets and allocating the power resource in each beam using the feedback information in the tracking cycle. Taking into account the transmit multipath and receive multipath, we derive the Cramér-Rao Lower Bound (CRLB) on angle estimate, which is then incorporated in the Predicted Conditional CRLB (PC-CRLB). A more accurate and consistent lower bound is provided as the optimization metric since the PC-CRLB is based on the most recently realized measurements. A two-stage-based technique is proposed to solve the JBTAPA problem, which is originally NP-hard. Simulation results verify the effectiveness and efficiency of the proposed method. The results also imply that the target reflectivity plays one of the important roles in resource allocation.     

非死锁合同网协议驱动的多机分布式时序任务分配

针对多无人机协同任务分配的时序约束问题，提出了基于非死锁合同网协议(DF CNP)的分布式时序任务分配方法，从理论上避免任务死锁，提升分配结果最优性。定义了局部信息条件下时序任务死锁判据，通过检测时序任务图环路状态与顶点可达性，判定分配方案的全局死锁状态，保证分配结果的可行性。定制了最近邻-深度优先混合搜索算法，在合同网排序过程中优先选择最近邻任务，并结合死锁判据递归回溯，在分布式架构下并行生成满足死锁约束的任务排序方案，提升分配结果的最优性。仿真对比结果表明：相比于非死锁遗传算法(TB GA)，DF CNP在求解效率方面具有显著优势；与耦合约束一致性束算法(CBBA TCC)相比，DF CNP结果最优性明显提升。