基于CNS性能及人为因素的纵向碰撞风险研究

为了分析CNS性能及人为因素对航空器在平行航路的安全间距影响,基于雷达管制环境下管制员对航空器纵向穿越的干预过程,在传统碰撞风险模型的基础上引入认知可靠性与失误分析方法(CREAM),综合考虑通信、导航、监视(Communication,Navigation and Surveillance,CNS)性能以及人为因素,建立了包含人的认知可靠性的平行航路纵向碰撞风险模型.并通过算例分析了CNS性能以及人因可靠性对平行航路碰撞风险的影响.结果表明,导航性能对航路的纵向碰撞风险影响较大;通过提高人的认知可靠性可以有效地提高平行航路的安全水平.     

基于多体系统理论的数控机床综合误差建模技术

误差补偿是进一步提高机床精度的重要途径,真实准确的误差模型对最终的误差补偿的效果起着决定性的作用.采用基于多体系统理论的建模方法,对机床拓扑结构、机床的误差元素和坐标系之间的变换矩阵进行充分分析,建立了特定数控机床的综合误差模型,为后期实施对特定机床的实时误差补偿提供了误差计算依据.     

基于非合作目标的运动平台导航误差估计

针对运动平台位置测量通常精度不高的问题,文章基于非合作目标的运动平台导航误差估计方法,将平台的导航误差建立为随时间一阶变化的模型,求解平台的运动参数,并使用线性模型拟合不同目标相对于不同平台的位置测量。通过对比参考平台与其他平台对相同目标运动参数估计的差异,求解平台的导航误差参数,并对平台运动参数进行校正。数值仿真证明了算法的有效性,并分析了测量次数对导航误差估计精度和目标定位精度的影响。     

五棱镜面形误差对中心入射光线的转向角影响

针对五棱镜面形误差引起出射光线转向角误差,进而影响空间光电跟瞄系统多光轴标校精度的问题,提出了一种研究五棱镜面形误差对出射光线转向角影响的新方法.首先,在五棱镜不规则度较小的前提下,利用最佳拟合球面矢高适当简化了五棱镜的工作面模型,推导出了出射光线转向角计算公式,并将影响出射光线转向角误差的因素限定在了6个非独立随机变...     

Optimal video communication strategy for intelligent video analysis in unmanned aerial vehicle applications

For Unmanned Aerial Vehicles (UAV), the intelligent video analysis is a key technology in intelligent autonomous control, real-time navigation and surveillance. However, poor UAV wireless links would degrade the quality of video communication, leading to difficulties in video analysis. To meet the challenges of packet-loss and limited bandwidth in adverse UAV channel environments, this paper proposes a parameter optimization mechanism for UAV intelligent video analysis. In the proposed method, an Optimal Strategy Library (OSL) is designed to optimize the parameters for video encoding and forward error correction. Adapted to the packet-loss rate and bandwidth in practical UAV wireless network, the proposed OSL can facilitate the encoding of video sequences and the recovery of degraded videos with optimal performance. Experimental results demonstrate that the proposed solution can keep intelligent video analysis working efficiently with adverse UAV wireless links, and is capable of maximizing the inference accuracy of Multi-Object Tracking (MOT) algorithms in various scenarios.     

基于误差相似性的移动机器人定位误差补偿

对由AGV承载的工业机器人组成的AGV式移动制孔机器人的定位误差补偿方法进行了研究。在面向飞机装配的AGV式移动制孔机器人系统中，利用激光跟踪仪构建坐标系，提出了AGV式移动制孔机器人机座坐标系的换站方法，能更好地适应飞机制造多品种、小批量的特点。基于对AGV式移动制孔机器人定位误差源的分析，利用定位误差相似性，提出针对AGV式移动制孔机器人的基于反距离加权定位误差的空间插值与补偿方法，克服了现有技术对于AGV式移动制孔机器人定位误差补偿的局限性。以AGV搭载的KUKA KR480型工业机器人制孔系统作为试验对象，通过试验选取最优网格步长，补偿结果表明，能将系统综合定位误差平均值由补偿前的1.045 mm降低到0.227 mm，最大绝对定位误差由补偿前的2.727 mm降低到0.478 mm，降低了82.47%，该方法能有效提高AGV式移动制孔机器人的绝对定位精度。     

直升机主减速器传动效率试验方法

基于传动效率直接、间接测试法测试原理,开展了某型直升机主减速器传动效率试验研究,对比分析了不同工况下传动效率变化规律。试验结果表明:主减速器传动效率与输入扭矩、滑油温度成正相关,与输入转速成负相关,在小扭矩状态下变化明显,且其随转速的变化率明显小于随扭矩的变化率;同时各工况下传动效率的间接测试结果均大于直接测试结果,随着输入扭矩的增加,间接测试与直接测试传动效率相对差值逐渐减小,而两者之差随转速变化不明显。误差分析结果表明:各工况下,采用间接测试法的测试极限误差均小于直接测试法,直接、间接测试法最大测试误差分别为1.28%、0.72%。     

Space debris cumulative flux considering the Interval Distance-based method

The availability of engineering models to estimate the risk from space debris is essential for space missions. According to current research, cumulative flux calculation is mostly carried out based on the equal-width interval discretization. The method discretizes the volume around the Earth into cells defined in earth centered inertial coordinates. The resulting debris flux onto a target object is shown to depend on the chosen size of the cells. To avoid a discretization error, this must be accounted for. In order to present reliable flux predictions for space mission, the algorithm improvement is an ongoing topic for the related research field. The aim of this study was to examine the discretization error during the cumulative flux determination process. Both the effect of interval step length and the orbital boundary are under investigation. Several typical orbits are selected as examples here and the 2018/01/03 TLE (Two Line Element) data published by the US Space Surveillance Network is used as the debris background in this paper. Furthermore, the Interval Distance-Based method for Discretization (IDD) is adopted in this paper. A position-centered flux determination method is introduced based on the IDD method. According to the example analysis, the IDD used in the flux calculation process provides results which are less affected by the interval step-size setup; and the orbital boundary has no effect on the calculation process. In other words, the discretization error is significantly reduced. The position-centered method provided a possible suggestion for the improvement of space debris environment models.     

Velocity pointing error analysis for symmetric spinning thrusting Cubesat

To solve the problem of thrust vector misalignment from the Cubesat center of mass during orbital maneuver, spin-stabilized method is applied to eliminate velocity pointing error. Spinning thrusting Cubesat model involves the effects of mass variation and jet damping is established. Analytical solutions for the angular velocity, nutation angle, Euler angle, and inertial velocity with nonzero initial conditions are derived. Simulations show that the analytical solutions closely match numerical simulations. Based on the analytical solutions, the velocity pointing error influencing factors is analyzed. The results show that the velocity pointing error caused by initial transverse velocity, nutation angle and transverse disturbance torque can be reduced by raising the spin rate, but the initial Euler angle need to be limited. Also, the spinning thrusting maneuver can allow for a lower spin rate by increasing the axial moment of inertia.     

嫦娥五号探测器多舱段间接力式校时及误差控制方法

为优化嫦娥五号探测器操控,达到通过给任意具备测控链路的舱段校时即可实现多舱段组合体时间同步的目标,提出了一种接力式校时及误差控制方法。该方法通过相邻舱段间接力式时间传递实现舱段间时间自流动。设计了基于飞行模式的时间基准设备检索方法,通过统一的检索配置表使各设备能够根据飞行模式识别上级时间基准设备,实现了各舱段的自主校时。设计了总线控制器(Bus controller,BC)与远置单元(Remote terminal,RT)间的分布式时间传递误差控制方法,BC端修正时间信息发送时产生的误差,RT端控制时间信息接收时引入的误差,保证了整器时统精度。研究方法实现了多舱段复杂航天器的器内自组织时统,已在嫦娥五号探测器上得到应用并取得预期效果,可为后续航天器软件设计提供参考。