编队飞行卫星群构型保持及初始化

导出了基于相对轨道要素的编队飞行卫星群轨道相对运动控制的轨道机动方程；提出了编队飞行卫星群轨道相对运动控制的轨道机动控制策略，利用不同方向的脉冲控制相对运动的轨道参数，包括轨道平面内机动和轨道平面外机动控制。根据相对轨道要素的变轨机动控制，进行编队飞行卫星群构型的初始化。这样的构型初始化可以视作一次特殊的变轨机动控制，很容易实现编队飞行构型的初始化机动。     

Genetic differentiation induced by spaceflight treatment of Cistanche deserticola and identification of inter-simple sequence repeat markers associated with its medicinal constituent contents

The dried, fleshy stems of Cistanche deserticola (Orobanchaceae) are popular tonics in Traditional Chinese Medicine (TCM) to treat the inability of kidney in expelling extra fluid in the body, causing fluid retention, and reform reproductive system. However, the wild plants of C. deserticola have become endangered due to habitat downsizing and over-harvesting for its medicinal usages. The present research was carried out for the following purposes: (1) promoting the space-breeding research; (2) providing molecular evidence for agricultural selective breeding; and (3) protecting this endangered herbal medicine and conserving its genetic resources.     

消费者创新性对手机银行使用意愿的影响研究

探索消费者创新性对手机银行使用意愿的影响,基于技术接受模型,构建了消费者创新性影响手机银行使用意愿的假设模型,依据假设模型开展了问卷调查。通过AMOS17.0软件对调查数据和假设模型进行了结构方程模型检验。研究结果表明,消费者创新性对手机银行使用意向具有显著影响,其影响机制是通过消费者对手机银行易用性和有用性的感知影响消费者对手机银行的使用态度,进而影响手机银行使用意向。在此基础上对商业银行发展手机银行提出了实践建议。     

端壁抽吸对压气机叶栅间隙泄漏流控制策略的研究

为了研究压气机机匣端壁抽吸对间隙泄漏流动控制的可行性和有效性,以高负荷压气机叶栅为研究对象,通过数值模拟方法对不同抽吸位置和抽吸流量率控制参数下的计算工况进行了对比和分析。研究结果表明:端壁抽吸可以直接地影响叶尖泄漏流的结构形态和存在形式,减弱叶尖泄漏流的强度和影响范围,进而提升压气机叶栅的性能;当抽吸槽覆盖范围包含叶尖泄漏流形成位置及稍靠后附近区域时,所对应的抽吸方案具有较好的控制效果,在0°攻角和0.5%的抽吸流量条件下前槽抽吸和中槽抽吸分别可获得7.04%和7.76%的叶栅总压损失增益;并且进一步研究发现端壁抽吸流量率存在上临界值,应针对不同攻角工况,在其相应的临界值范围内选择合理的抽吸流量,以达到用较小的吸气量实现对间隙泄漏流的控制。     

Optimal guidance for reentry vehicles based on indirect Legendre pseudospectral method

Development of a feasible guidance scheme for reentry vehicles is a challenge because of its significant nonlinearity and multi-constraints. A method for the implementation of three-degree-of-freedom guidance for constrained reentry vehicle is presented in the paper. First, the constrained trajectory is generated by Legendre pseudospectral method (LPM) and then the feasibily of the trajectory is validated. Based on the obtained reference trajectory, the guidance problem is converted into a trajectory state regulation problem which is a linear time varying system. A robust state feedback guidance law is generated in real time using indirect Legendre pseudospectral feedback method. Finally, simulation results illustrate that the overall guidance scheme can lead to a very accurately controlled flight with all the constraints satisfied even in the presence of initial state uncertainty.     

ASW-RTS:一种软件性能数据在线检测方法

在软件健康管理系统中,需要对相关被测构件的性能进行在线检测,从而确定构件的健康状态。针对被测构件的性能衰退检测问题,在AR(p)模型基础上,结合时间序列滚动式算法的准确性,提出了一种具有自适性策略的ASWRTS算法,用于对被测构件革新异常类性能数据的在线检测,提高检测的准确度,并基于该算法设计了构件性能异常数据的在线检测过程。实验结果表明,该算法将检测精度提高了50%左右,能够有效在线检测构件的性能衰退,说明了该算法的正确性和有效性。     

精益研发VS精益生产

雨疏风骤之后,是海棠依旧,还是绿肥红瘦?词人李清照关心风雨之后的海棠时问了这个问题。当关注信息化时代的精益策略时,我不禁也想问这个问题。丰田生产模式1990年被美国麻省理工学院的教授总结为精益生     

Excel在真空计量中的应用

在真空计量领域中，Ｅｘｃｅｌ电子表格软件得到了广泛的应用。本文举例说明了Ｅｘｃｅｌ的数据计算，统计分析，回归分析，宏、ＯＬＥ和ＤＤＥ功能。     

Determination of optimal samples for robot calibration based on error similarity

Industrial robots are used for automatic drilling and riveting.The absolute position accuracy of an industrial robot is one of the key performance indexes in aircraft assembly,and can be improved through error compensation to meet aircraft assembly requirements.The achievable accuracy and the difficulty of accuracy compensation implementation are closely related to the choice of sampling points.Therefore,based on the error similarity error compensation method,a method for choosing sampling points on a uniform grid is proposed.A simulation is conducted to analyze the influence of the sample point locations on error compensation.In addition,the grid steps of the sampling points are optimized using a statistical analysis method.The method is used to generate grids and optimize the grid steps of a Kuka KR-210 robot.The experimental results show that the method for planning sampling data can be used to effectively optimize the sampling grid.After error compensation,the position accuracy of the robot meets the position accuracy requirements.     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.