考虑传感器动力学的变结构控制

研究了状态不可测系统的变结构控制问题。构造了系统的状态观测器。为了分析系统的抖振,计入了传感器（测量装置）的动力学。在建立了由对象、观测器和传感器组成的系统的动力学方程之后,研究了滑动模态的稳定性及其特性,并用趋近律方法构造出了变结构控制,还给出了关于抖振的又一解释。     

BBO单晶生长过程中气相包裹体形成的实时观察研究

BBO单晶生长过程中包裹体的出现是影响晶体质量及制约晶体尺寸的一个重要因素.利用高温休伦微分干涉显微技术,实时观察了BBO助溶剂法生长过程中出现的气相包裹体的形成过程.结果表明,包裹体产生于完美晶体内部,并趋向于分布在界面附近,单晶生长过程中台阶的发展将有助于制约气相包裹体的形成和分布.      

Modeling and experimental validation of sawing based lander anchoring and sampling methods for asteroid exploration

This paper presents a novel lander anchoring system based on sawing method for asteroid exploration. The system is composed of three robotic arms, three cutting discs, and a control system. The discs mounted at the end of the arms are able to penetrate into the rock surface of asteroids. After the discs cut into the rock surface, the self-locking function of the arms provides forces to fix the lander on the surface. Modeling, trajectory planning, simulations, mechanism design, and prototype fabrication of the anchoring system are discussed, respectively. The performances of the system are tested on different kinds of rocks, at different sawing angles, locations, and speeds. Results show that the system can cut 15?mm deep into granite rock in 180?s at sawing angle of 60°, with the average power of 58.41?W, and the “weight on bit” (WOB) of 8.637?N. The 7.8?kg anchoring system is capable of providing omni-directional anchoring forces, at least 225?N normal and 157?N tangent to the surface of the rock. The system has the advantages of low-weight, low energy consumption and balance forces, high anchoring efficiency and reliability, and could enable the lander to move and sample or assist astronauts and robots in walking and sampling on asteroids.     

月基平台对地观测数据传输链路方案设计及分析

数据传输及处理能力是月基平台构建中的一个重要问题,如何高效准确地传输海量对地观测数据至地球供后续研究是开展月基对地观测的关键环节。通过STK和MATLAB软件联合仿真,模拟月基平台对地观测数据传输链路,首次提出适用于月基平台的下行链路通信方案:通过构建中纬度地球站、最小间隔经度值为40°的2颗中继卫星组的设计方案,可以最大程度地实现全天候、无时断的信号传输,满足下行链路接收端获取足够强度和低误码率的信息,从而保障月基平台的运行。      

Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments

Unmanned Aerial Vehicles (UAVs) play a vital role in military warfare. In a variety of battlefield mission scenarios, UAVs are required to safely fly to designated locations without human intervention. Therefore, finding a suitable method to solve the UAV Autonomous Motion Planning (AMP) problem can improve the success rate of UAV missions to a certain extent. In recent years, many studies have used Deep Reinforcement Learning (DRL) methods to address the AMP problem and have achieved good results. From the perspective of sampling, this paper designs a sampling method with double-screening, combines it with the Deep Deterministic Policy Gradient (DDPG) algorithm, and proposes the Relevant Experience Learning-DDPG (REL-DDPG) algorithm. The REL-DDPG algorithm uses a Prioritized Experience Replay (PER) mechanism to break the correlation of continuous experiences in the experience pool, finds the experiences most similar to the current state to learn according to the theory in human education, and expands the influence of the learning process on action selection at the current state. All experiments are applied in a complex unknown simulation environment constructed based on the parameters of a real UAV. The training experiments show that REL-DDPG improves the convergence speed and the convergence result compared to the state-of-the-art DDPG algorithm, while the testing experiments show the applicability of the algorithm and investigate the performance under different parameter conditions.     

含硼富燃燃气燃烧实验研究

为实现固冲发动机二次燃烧模型验证,结合固冲发动机工作条件,设计了一种带透明观察窗燃烧实验装置;营造了简单的燃烧环境,实现了燃烧过程掺混作用的弱化;借助高速摄像进行了以空气速度作为单一变量的含硼富燃燃气燃烧可视化测量,获得了火焰形态结构;采用高速数据采集,获得了燃烧室压力;将实验数据与数值模拟结果进行了对比和分析。结果表明,燃气与空气速度相近时,火焰呈锥角结构,硼粒子的点火距离较长;燃气与空气速度差较小时,同一位置燃烧室压力较大;燃气与空气速度近似程度决定火焰的形态;数值模拟结果与实验结果基本吻合。     

Recent Advances in Chinese Meridian Project

To develop an understanding of near-Earth space's response to solar activities and the coupling among different layers in geospace, China has initiated a ground base program to monitor China's geospace environment called the Meridian Space Weather Monitoring Project (Chinese Meridian Project). The effort consists of a chain of 15 ground-based observatories located roughly along 120°E longitude and 30°N latitude. Each observatory is equipped with multiple instruments to measure key parameters such as the baseline and time-varying geomagnetic field, as well as the middle and upper atmosphere and ionosphere from about 20 to 1000 kilometers. This project started collecting data in 2012. We will give a brief introduction to the Chinese Meridian Project, and present recent scientific results mainly in ionospheric and atmospheric studies.      

柔性机械臂辅助空间站舱段对接阻抗控制

空间机械臂辅助舱段对接过程中存在测量与控制误差,易导致对接机构间存在较大接触力,传统FMA (Force MomentAccommodation)控制方法在测量接触力时无法消除大负载惯性力对测量的影响,且测量仪器的引入会进一步降低空间柔性机械臂的刚度。为此,文章提出了柔性机械臂辅助大负载空间舱段对接的阻抗控制方法,采用拉格朗日法推导了空间机械臂的关节输入力矩方程作为前馈输入,建立了含动力学前馈的空间机械臂阻抗控制程序,并以在商业软件ADAMS中建立的空间柔性机械臂与对接舱段组成的系统动力学模型作为控制对象,对系统进行ADAMS灢Matlab联合仿真。仿真结果表明,按照此控制方法,系统可克服外力干扰使目标解析点按照期望的方式运动;同时,通过测量机械臂关节运动参数即可实现对外力的准确感知,而不需额外添加力传感器,既消除了大负载惯性力对测量的影响,也不会导致柔性机械臂刚度的降低。     

基于未知地标被动观测的飞航导弹SINS俯仰姿态误差估计方法

针对飞航导弹单独使用时SINS存在姿态估计精度随时间降低的问题,提出了基于未知地标被动观测的SINS俯仰姿态误差估计方法。首先,根据飞航导弹中制导段飞行的特点,把SINS俯仰姿态误差估计问题转化为攻角估计问题。然后,在不改变导弹巡航路径的前提下,利用弹上成像导引头对视场内任意未知地标连续被动观测,分别提出了弹体坐标系和速度坐标系下的攻角估计方法,并分析了观测噪声对量测方程系数的影响。最后,利用平均去噪的思想对估计结果进行处理,提高了SINS俯仰姿态误差的估计精度。仿真结果表明：两种方法都能有效估计出飞航导弹SINS俯仰姿态量测误差。     

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.