A residual based adaptive unscented Kalman filter for fault recovery in attitude determination system of microsatellites

This paper presents an adaptive unscented Kalman filter (AUKF) to recover the satellite attitude in a fault detection and diagnosis (FDD) subsystem of microsatellites. The FDD subsystem includes a filter and an estimator with residual generators, hypothesis tests for fault detections and a reference logic table for fault isolations and fault recovery. The recovery process is based on the monitoring of mean and variance values of each attitude sensor behaviors from residual vectors. In the case of normal work, the residual vectors should be in the form of Gaussian white noise with zero mean and fixed variance. When the hypothesis tests for the residual vectors detect something unusual by comparing the mean and variance values with dynamic thresholds, the AUKF with real-time updated measurement noise covariance matrix will be used to recover the sensor faults. The scheme developed in this paper resolves the problem of the heavy and complex calculations during residual generations and therefore the delay in the isolation process is reduced. The numerical simulations for TSUBAME, a demonstration microsatellite of Tokyo Institute of Technology, are conducted and analyzed to demonstrate the working of the AUKF and FDD subsystem.     

压电结构的控制-结构一体化设计

对于离散分布、同位配置压电片驱动器和传感器的压电耦合板，首先构造了四节点 Ｋｉｒｃｈｈｏｆｆ矩形板弯单元，从而建立了有限元模型。在此基础上，给出了主动阻尼振动控制模型。将系统的存留能量指标归结为一个 Ｌｙａｐｕｎｏｖ 方程的解。以系统的存留能量指标为适应度函数，以作动器和传感器的位置及控制增益为优化参数，利用基于共享函数机制小生境技术的遗传算法进行结构、控制设计。最后，对一悬臂压电耦合板进行了实例分析。结果表明，该方法是解决控制结构一体化设计的一种有效途径，可以得到多个最优解或次优解。     

高精度温度控制方式述评

对高精度温度控制系统中常用的模拟控制方式、数字控制方式和模拟/数字控制方式作了比较,目的在于找到既能满足计量检定恒温装置所需的技术指标、又方便实用的控制方式.     

现代飞机俯仰跟踪时诱发振荡预测分析

根据飞机纵向ＰＩＯ的特点，提出了预测分析ＰＩＯ所用的人－机闭环系统数学模型，其中飞机采用等效系统数学模型，驾驶员操纵采用ＭｃＲｕｅｒ模型，参数按地面人－机模拟飞行跟踪试验确定，集中介绍了四种飞机纵向ＰＩＯ预测准则，Ｓｍｉｔｈ－Ｇｅｄｄｅｓ准则，修正带宽准则，增益，相位裕度准则，Ｎｅａｌ－Ｓｍｉｔｈ原则，并提供了相应的计算方法。     

二维三角晶格的Peierls相变前后的声子色散曲面的研究

利用晶格动力学理论计算了二维三角晶格的Peierls相变前后的声子能谱。并且在第一布里渊区绘制了声子色散曲面。通过对Peierls相变前后的声子能谱比较可知，随其对称性降低，声子能谱的简并度被破缺。二维三角晶格的Peierls相变前只有两支声频支声子能谱，Peierls相变后有两支声频支声子能谱与两支光频支声子能谱，并且声频支声子能谱与光频支声子能谱不相交，两支光频支声子沿ky轴平缓地变化。     

单神经元PID算法在流量比值控制中的应用

针对在PCT-2型过程控制装置进行流量比值控制时．PID（proportional integral differential controller）参数难以整定的问题，提出一种基于单神经元自适应的PID流量比值控制方法，使PID参数实现自整定。该算法利用单神经元的自学习和自适应能力、结构简单和易于计算的特点与PID算法相结合，形成了一种新型的智能PID流量比值控制方法．其可以解决传统PID调节器不易在线实时进行参数整定、难于对一些复杂过程和慢时变系统进行有效控制的不足。实验结果表明：这种控制方法不仅容易掌握、精度高，且具有一定的实用价值。     

Bearings-only tracking for maneuvering sources

Classical bearings-only target-motion analysis (TMA) is restricted to sources with constant motion parameters (usually position and velocity). However, most interesting sources have maneuvering abilities, thus degrading the performance of classical TMA. In the passive sonar context a long-time source-observer encounter is realistic, so the source maneuver possibilities may be important in regard to the source and array baseline. This advocates for the consideration and modeling of the whole source trajectory including source maneuver uncertainty. With that aim, a convenient framework is the hidden Markov model (HMM). A basic idea consists of a two-levels discretization of the state-space. The probabilities of position transition are deduced from the probabilities of velocity transitions which, themselves, are directly related to the source maneuvering capability. The source state sequence estimation is achieved by means of classical dynamic programming (DP). This approach does not require any prior information relative to the source maneuvers. However, the probabilistic nature of the source trajectory confers a major role to the optimization of the observer maneuvers. This problem is then solved by using the general framework of the Markov decision process (MDP)     

由“纯语言”看解构主义翻译观——读本雅明《译者的任务》

通过分析和探讨“纯语言”这一重要概念，评述解构主义翻译观的实质。     

基于自适应深度网络的无人机目标跟踪算法

针对无人机（UAV）视频中目标易受到遮挡、形变、复杂背景干扰等问题，提出一种基于自适应深度网络的无人机目标跟踪算法。首先，基于主成分分析（PCA）和卷积神经网络（CNN）算法，设计3阶的自适应深度网络进行目标特征提取，该网络对图像的H、S、I通道分别进行主成分分析学习，将得到的特征向量输入网络进行分层卷积，优化了网络结构，提高了网络的收敛速度和精度。其次，将目标深度特征输入核相关滤波算法进行目标跟踪，通过分析相邻2帧图像的变化率，采用分段自适应调整学习率的算法进行目标模板更新，有效地改善目标遮挡问题。仿真实验结果表明，该算法有效地避免了复杂因素干扰导致的跟踪精度下降，具有较好的鲁棒性，相较于全卷积跟踪（FCNT）算法平均跟踪精度提高了9.62%，平均跟踪成功率提高了11.9%。     

推进剂微重力加注稳定性仿真分析

针对表面张力贮箱的空间补给,分析了其中的加注稳定性问题,并用FLUENTVOF模型对其进行仿真模拟.分析表明微重力下推进剂加注极易发生不稳定的气液混合现象,需要对加注流量进行控制,或者在贮箱内部增加挡板结构以消减入口液体的动量.