Attitude control of multi-spacecraft systems on SO(3) with stochastic links failure

In this paper, for Multi-Spacecraft System(MSS) with a directed communication topology link and a static virtual leader, a controller is proposed to realize attitude consensus and attitude stabilization with stochastic links failure and actuator saturation. First, an MSS attitude error model suitable for a directed topology link and with a static virtual leader based on SO(3) is derived, which considers that the attitude error on SO(3) cannot be defined based on algebraic subtraction. Then, we d...     

平流层上部负离子成分的直接测量和硫酸离子热化学分析

本文报道了在法国南部(44°N)上空进行的两次气球飞行实验的部分负离子成分探测结果.利用自然负离子谱计算了某些硫酸离子的热化学常数ΔG, ΔH和ΔS.讨论了上升段测量中气球表面放气造成的离子化学污染.      

磁层顶位置的卫星观测

本文用了自1963年到1979年卫星穿越磁层顶的1024个观测资料计算了向阳侧磁层顶椭球面的参数。企图从这些资料得出星际磁场和太阳风热压强对向阳侧磁层顶位置和形状的影响大小。但数值计算和理论分析都表明,目前所具有的观测资料的精度不足以获得星际磁场和太阳风热压强影响的数值。本文分析了各种因素所造成的在计算该椭球面参数时的不确定性。进而提出了对进一步工作的建议。该椭球面的平均大小、形状和方位的观测值与理论预计值是非常一致的。      

土星磁层顶的Kelvin-Helmholtz不稳定性和磁流体表面波

本文采用可压缩磁流体力学近似并选取Voyager-1的观测数据,讨论了土星磁层顶的Kelvin-Helmholtz不稳定性和磁流体表面波.计算表明,土星磁层随星体自转同磁鞘流之间的速度差,可以在地方时午前、中午和距中午不远的午后磁层顶激发不稳定性;午前和午后区有很强的非对称性.计算所得的波的特性与观测一致.      

一种低摩擦间隙可控机构在舵机上的应用

摩擦和间隙是影响电动舵机结构力学特性的典型非线性因素.基于电动舵机伺服系统模型,研究摩擦、间隙非线性因素的特性及其对舵机控制的影响.设计一种低摩擦力、间隙可控舵机传动机构,进行实验与仿真分析.结果表明,该新型传动机构能够改善传统舵机摩擦阻力大、间隙可控性差的状况,并提高舵机控制的精度和稳定性,为电动舵机伺服系统结构特性研究和控制系统研究提供基础.     

航天器非平稳振动环境TVAR时频分析(英文)

Predicting the time-varying auto-spectral density of a spacecraft in high-altitude orbits requires an accurate model for the non-stationary random vibration signals with densely spaced modal frequency. The traditional time-varying algorithm limits prediction accuracy, thus affecting a number of operational decisions. To solve this problem, a time-varying auto regressive （TVAR） model based on the process neural network （PNN） and the empirical mode decomposition （EMD） is proposed. The time-varying system is tracked on-line by establishing a time-varying parameter model, and then the relevant parameter spectrum is obtained. Firstly, the EMD method is utilized to decompose the signal into several intrinsic mode functions （IMFs）. Then for each IMF, the PNN is established and the time-varying auto-spectral density is obtained. Finally, the time-frequency distribution of the signals can be reconstructed by linear superposition. The simulation and the analytical results from an example demonstrate that this approach possesses simplicity, effectiveness, and feasibility, as well as higher frequency resolution.