自旋小卫星姿态动力学建模与控制研究

研究探测近地空间自旋稳定小卫星姿态动力学建模与姿态控制问题,探测任务对该卫星姿态控制有着特殊要求。建模中特别考虑了自旋小卫星双侧伸杆扰动对其姿态运动的影响。利用自旋卫星的章动特性,设计了姿态一章动联合控制器,根据星体横向角速度相位和喷气力矩在惯性空间的方位来确定喷气时刻,采取先章动粗控与进动控制,后章动精控的策略。当卫星受空间扰动力矩长期作用产生较大章动角而需调姿进行轨道机动时,可以应用本控制器方便地调整自旋轴的指向。     

笔式草图的增量识别

针对笔式三维建模技术中手势交互的特点,提出了一种二维草图的增量识别方法:从原始笔划的在线识别与线元转换,到约束关系的自动捕捉与施加,到二维组合图元的识别与规整,到特征手势的识别,到最后的三维特征建模.整个识别过程依据了三维特征建模思想和基于上下文感知的智能推理技术,通过分层识别的方法从紊乱、非精确的二维草图中有效提取三维建模的特征信息,有效降低了草图识别过程的复杂度和积累误差.将特征手势遵循隐式映射机制映射到三维空间后,实时完成三维建模,实现了二维手绘草图与三维精确建模的有效集成.该方法已经在自主开发的原型系统PenSketch3D中得以验证,并取得良好效果.      

旋翼下洗气流对红外抑制器性能的影响研究

利用地面模拟试验件实验研究了直升机旋翼下洗气流对红外抑制器气动及红外隐身性能的影响。结果表明,旋翼下洗气流对红外抑制器的气动性能、特征温度、红外辐射等都有明显的影响。旋翼下洗气流速度的增加,将造成红外抑制器的引射系数降低,出口气流温度升高,出口气流温度分布均匀度增加,并使整流罩及外套特征温度迅速增加。存在一个最佳旋翼下洗气流速度,使储物仓特征温度最低。最终,使得在模拟悬停状态下,考虑和不考虑旋翼下洗气流相比,3～5μm的平均红外辐射强度大约增加35%。      

一种改进的非定常气动力拟合方法

颤振主动抑制系统(AFSS)开环模型建模的关键之一是非定常气动力的模化。本文讨论了现有几种拟合方法的优缺点;提出了一种改进的非定常气动力拟合方法。实际算例结果表明:用本文方法得到的模型,能描述气弹系统的主要特征。     

可视化系统建模语言及其在MIS开发中的应用

介绍了VSML(Visual System Modeling Language)的描述内容及其原语定义和行为描述,并对新完善的数据库信息处理功能进行了介绍;接着对完善后的VSML的体系结构及其功能进行了较详细的描述;然后以商业管理采购员订货系统模型作为实例,介绍了VSML的应用,最后对VSML及其进一步的研究工作进行了小结.     

A boundary surrogate model for micro/nano grooved surface structure applied in turbulence flow control over airfoil

The application of grooved surface structure is an emerging and effective means in turbulence flow control. However, for a realistic configuration, the global flow field described directly by simple application of massive grids makes it unfeasible to simulate. In this paper, a boundary surrogate model reproducing the effect of microscopic near-wall region is proposed to improve computational efficiency. The surrogate model trained with Lattice Boltzmann Method(LBM) considering the rarefied effec...     

GPS选择可用性(SA)信号采集与建模

 分析了ＧＰＳ测量伪距的各组成部分,设计了一个ＧＰＳ数据实时采集系统,通过定位计算和时钟偏移滤波的方法分离ＳＡ误差信号,经检验指出ＳＡ误差信号基本是零均值的平稳随机过程,对一段时期定点观测到的ＳＡ误差信号进行ＡＲ（１３）的模型辨识,获得大量的模型数据,从时域和频域对模型参数进行分析得到一些有益的结论。     

驾驶员建模精度分析方法的改进及应用

研究了驾驶员建模精度分析方法和提高建模精度的途径。基于驾驶员在环实时仿真结果,识别驾驶员描述函数,按加权最小二乘准则采用复形调优算法识别模型参数。结合两步识别过程,针对现有模型精度公式在最终模型检验上的缺陷,进一步完善了精度评价公式。根据公式提出了基于灵敏度分析的驾驶员模型参数调整方法。应用结果表明：所建立的公式和方法对提高驾驶员模型建模精度效果明显。     

高超声速飞行器参数化几何建模方法与外形优化

飞行器几何建模是进行外形优化设计的基础,针对尺寸和形状驱动的飞行器外形参数化几何建模要求,采用类型函数/形状函数变换技术,建立面向族的参数曲面,通过调整少量尺寸参数或类型函数/形状函数控制参数,可以衍生出多种设计构型,且相互转换十分便捷。相比现有CAD和二次曲线建模方法,在模型简化和设计变量数量有效控制方面具有优势。升力体和乘波体两种典型布局飞行器的外形建模与应用表明方法简单、有效、适应性强,可以满足飞行器概念设计阶段外形优化的要求。     

Machining Error Control by Integrating Multivariate Statistical Process Control and Stream of Variations Methodology

For aircraft manufacturing industries, the analyses and prediction of part machining error during machining process are very important to control and improve part machining quality. In order to effectively control machining error, the method of integrating multivariate statistical process control (MSPC) and stream of variations (SoV) is proposed. Firstly, machining error is modeled by multi-operation approaches for part machining process. SoV is adopted to establish the mathematic model of the relationship between the error of upstream operations and the error of downstream operations. Here error sources not only include the influence of upstream operations but also include many of other error sources. The standard model and the predicted model about SoV are built respectively by whether the operation is done or not to satisfy different requests during part machining process. Secondly, the method of one-step ahead forecast error (OSFE) is used to eliminate autocorrelativity of the sample data from the SoV model, and the T2 control chart in MSPC is built to realize machining error detection according to the data characteristics of the above error model, which can judge whether the operation is out of control or not. If it is, then feedback is sent to the operations. The error model is modified by adjusting the operation out of control, and continually it is used to monitor operations. Finally, a machining instance containing two operations demonstrates the effectiveness of the machining error control method presented in this paper.