卷簧式柔性取样器的取样头-岩石接触原位辨识(英文)

取样头和岩石接触问题与月壤取样的成功与否直接相关,基于小型卷簧式月壤取样器的柔性取样臂结构,提出了振动取样法:在取样过程中采集振动信号进行数字信号处理与分析,达到对取样头-岩石接触的辨识。首先对振动信号进行采集、消除趋势项,然后利用小波多分辨分析去噪,采用现代功率谱中基于AR模型的Burg法对振动信号进行特征提取,最后采用二分类支持向量机对取样头是否接触到岩石进行识别。实验结果证明,卷簧式取样器的振动信号分析能够对取样头-岩石接触问题进行较好的辨识。     

空间谱估计方法在卫星干扰源定位中的应用

利用卫星天线的多波束特性来获取信号波达方向（DOA）信息,是通信卫星干扰源定位技术的一个重要方面。本文简要介绍了卫星通信系统实现干扰定位的技术发展概况,重点研究了应用空间谱估计方法实现卫星干扰源的定位。结合星载多波束天线模型的MUSIC算法的仿真结果进一步验证这一方法的可行性。     

Active fault tolerant control for vertical tail damaged aircraft with dissimilar redundant actuation system

This paper proposes an active fault-tolerant control strategy for an aircraft with dissim-ilar redundant actuation system (DRAS) that has suffered from vertical tail damage. A damage degree coefficient based on the effective vertical tail area is introduced to parameterize the damaged flight dynamic model. The nonlinear relationship between the damage degree coefficient and the corresponding stability derivatives is considered. Furthermore, the performance degradation of new input channel with electro-hydrostatic actuator (EHA) is also taken into account in the dam-aged flight dynamic model. Based on the accurate damaged flight dynamic model, a composite method of linear quadratic regulator (LQR) integrating model reference adaptive control (MRAC) is proposed to reconfigure the fault-tolerant control law. The numerical simulation results validate the effectiveness of the proposed fault-tolerant control strategy with accurate flight dynamic model. The results also indicate that aircraft with DRAS has better fault-tolerant control ability than the traditional ones when the vertical tail suffers from serious damage.     

双波段扇形波束圆锥扫描星载微波散射计系统设计

星载微波散射计是目前唯一能够同时全天候、全天时、高精度、高分辨率和短周期测量海洋表面风场矢量的有源微波遥感器,这一能力已在美国Seasat-1[1]、欧空局ERS-1/2[1]、日本ADEOS-1/2[1]、中国HY-2等卫星装载的微波散射计上得到了充分的证明。双波段、扇形波束圆锥扫描星载微波散射计是一种具有国际先进水平的星载微波散射计,具有测风范围大、测量精度高的优点。文章简要分析了该微波散射计的工作原理、总体方案设计、关键技术、及初步性能评估等。     

基于自适应模糊输出观测器的非线性系统鲁棒故障检测

针对一般非线性系统的故障检测,从工程应用的角度提出了一种基于自适应模糊输出观测器的非线性系统鲁棒故障检测方法。该方法以自适应模糊系统构造未知非线性模型的输出观测器,在充分考虑外加噪声干扰和系统误差的情况下,通过对一般反向传播学习算法进行改进,提出采用鲁棒反向传播学习算法调整观测器参数以辩识系统输出,再结合阈值故障检测策略检测系统故障。为保证算法具有较快的收敛速度,本文给出了根据模糊规则确定算法初始参数的选择方法并证明了算法的收敛性。仿真结果表明,对一般非线性系统故障检测,该方法具有有效性和实时性,以及对噪声干扰和系统误差的鲁棒性。     

快速Givens变换在参数递推最小二乘估计中的应用

本文根据Givens转动的特点,提出了一种快速Givens正交换算法,并将该方法用于数学模型参数递推最小二乘估计,为模型参数在线估计提供了一种快速算法。     

Rapid and robust initialization for monocular visual inertial navigation within multi-state Kalman filter

Sensor-fusion based navigation attracts significant attentions for its robustness and accuracy in various applications. To achieve a versatile and efficient state estimation both indoor and outdoor, this paper presents an improved monocular visual inertial navigation architecture within the Multi-State Constraint Kalman Filter (MSCKF). In addition, to alleviate the initialization demands by appending enough stable poses in MSCKF, a rapid and robust Initialization MSCKF (I-MSCKF) navigation method is proposed in the paper. Based on the trifocal tensor and sigma-point filter, the initialization of the integrated navigation can be accomplished within three consecutive visual frames. Thus, the proposed I-MSCKF method can improve the navigation performance when suffered from shocks at the initial stage. Moreover, the sigma-point filter is applied at initial stage to improve the accuracy for state estimation. The state vector generated at initial stage from the proposed method is consistent with MSCKF, and thus a seamless transition can be achieved between the initialization and the subsequent navigation in I-MSCKF. Finally, the experimental results show that the proposed I-MSCKF method can improve the robustness and accuracy for monocular visual inertial navigations.     

Wave induced energetic particle generation and space plasma modeling

An increasing number of high-resolution spacecraft observations provide access to details of energetic electron and ion velocity-space distribution structures. Since resonant wave-particle interaction processes depend considerably on the distribution function details, space plasma modeling is of particular interest for studies of a variety of plasma environments as planetary magnetospheres, the interplanetary medium or solar flares. After summarizing the most popular particle acceleration processes we focus on wave-powered energization mechanisms induced by Landau interaction and demonstrate from a time-evolutionary scenario that power-law distributions, highly favored by observations in recent years, are generated resonantly by an Alfvén wave spectrum and possibly saturate. This process is further stimulated in non-uniform magnetic field configurations where multiple wave packets at different phase velocities provide the energy source for a continuous acceleration process. Moreover, in this conjunction we demonstrate that in particular κ-distributions are a consequence of a generalized entropy concept, favored by nonextensive statistics, which provides the missing link for power-law plasma models from fundamental physics. With regard to in situ space observations examples are provided illuminating that for non-thermal plasma characteristics the particular structure of the velocity-space distribution dominates as regulating mechanism for the wave-particle interaction process over effects related to changes in space plasma parameters. This revised version was published online in August 2006 with corrections to the Cover Date.