An innovative navigation scheme of powered descent phase for Mars pinpoint landing

Pinpoint landing (within 100 m from the target) is essential for future Mars exploration missions. This paper deals with one aspect of the pinpoint landing architecture—the navigation performance improvement during the powered descent phase, and proposes an innovative navigation scheme to obtain the vehicle complete and accurate states. On the basis of dead reckoning relying on the Inertial Measurement Unit, measurements of the Integrated Doppler Radar are adopted to correct the vehicle velocity and altitude. Distance between the vehicle and one Mars Orbiter as well as their line-of-sight relative velocity is measured by a radio sensor, and integrated in the filter to correct the vehicle horizontal position. The innovative navigation system is based on an Extend Kalman Filter. Two observation schemes are developed. One considers measurements of the Integrated Doppler Radar and radio range measurement. Another further considers radio velocity measurement. The performance of the innovative navigation scheme is greatly influenced by the position of the Mars Orbiter with respect to the target. Stochastic analyses are performed to obtain optimal locations of Mars Orbiter. Finally, the innovative navigation scheme performances are assessed through stochastic simulations. Its performance improvements are demonstrated by comparison with the Integrated Doppler Radar only navigation scheme.     

行星着陆探测中的动力学与控制研究进展

着陆探测是获取行星特性和科学数据最直接、最有效的途径,也是目前技术难度最大、最为复杂的探测方式。在行星着陆探测过程中,动力学与控制是影响任务成败的关键因素之一。文章首先分析了行星着陆探测动力学与控制研究所面临的挑战与难题;然后,针对火星和小行星的着陆探测,重点分析了火星着陆进入段和下降段所涉及的动力学与控制,小行星附着探测动力学建模与制导控制的研究现状与关键问题;最后,提出了我国在行星着陆探测动力学与控制领域的未来重点发展方向。     

飞机侧壁部件装配调姿机构的设计与分析

分析了等曲率和变曲率2类飞机侧壁部件的几何特点以及对柔性装配调姿的功能需求,设计了一种新型的面向大型飞机侧壁部件数字化装配的柔性工装机构;该机构基于精密三坐标定位器对侧壁部件进行装配调姿,可等效为6自由度并联机构,通过4条支撑臂对侧壁部件进行夹持;定位器呈前后2排、前低后高布局,能够实现对侧壁部件空间6自由度位姿调整;对工装机构进行了位姿反解,根据侧壁部件的初始位姿和目标位姿反向求解出各支撑臂的关节变量,并利用计算机仿真模型进行了验证,证明了反解算法的正确性,为侧壁部件调姿运动的精确控制奠定了基础.      

面向NXD的XML数据函数依赖

XML的半结构化特性造成了Native XML 数据库中数据模式规范化设计中的很多问题.采用结构信息和数据信息相结合的方法,给出XML数据间函数依赖的定义,解决数据模式规范化设计中的理论问题.建立了XML模式路径和XML数据树节点路径的定义,描述XML数据中的路径;给出了XML文档有效性的形式化定义;在此基础上定义了树元组和树元组相等的概念.运用树元组及其相等的概念定义了XML数据的函数依赖关系,进而给出了相应的自反、增广、传递推理规则,用于推导给定集合所蕴涵的函数依赖关系.并证明了这一推理规则是正确的.上述工作为Native XML 数据库系统中数据模式的规范化设计提供了一定的理论基础,增强了XML数据的语义特性.     

同轴撞击气-气喷嘴数值模拟和实验

为进一步深入研究喷嘴结构参数对气-气掺混燃烧特性的影响,针对氢向氧斜喷带撞击角度的气-气喷嘴开展了实验和数值模拟.实验研究了撞击角度对燃烧效率和燃烧室壁面温度的影响,数值仿真分析了撞击角度对喷注面板和氧喷嘴管壁温的影响.结果表明:随着氢向氧撞击角度的增大,推进剂燃烧效率、燃烧室壁面和氧喷嘴出口管壁面热载降低;氢向氧撞击角度的引入,增大了喷注面板热载.      

基于超声波的移动机器人多目标探测定位方法

为了使移动机器人能够对离散的多个目标进行准确的探测定位,提出了一种新的超声波智能探测方法.采用3个收发一体的超声换能器阵列发送近似的平面声波波束,并建立空间坐标系.3个探头定时发送超声波脉冲,同时数字信号处理器采集并分析接收到的回波信号,在给定的算法下滤除杂波、识别提取回波首波、二次回波和三次回波等特征信号数据,在正确检测出各路波束的回波时间后,通过计算给出多个被测物体的准确定位.实验采用了杆件物体作为被测对象,对回波信号进行高速数据采集处理后计算出被测目标的坐标值,比较了计算物位与实测物位数据,结果验证了该方法的可行性与正确性.      

SIMULATION OF COMPOSITE NON-LINEAR MECHANICAL BEHAVIOR OF CMCS BY FEM-BASED MULTI- SCALE APPROACH

The non-linear behavior of continuous fiber reinforced C/SiC ceramic matrix composites （CMCs） under tensile loading is modeled by three-dimensional representative volume element （RVE） models of the composite. The theoretical background of the multi-scale approach solved by the finite element method （FEM） is recalled first- ly. Then the geometric characters of three kinds of damage mechanisms, i.e. micro matrix cracks, fiber/matrix interface debonding and fiber fracture, are studied. Three kinds of RVE are proposed to model the microstructure of C/SiC with above damage mechanisms respectively. The matrix cracking is modeled by critical matrix strain en- ergy （CMSE） principle while a maximum shear stress criterion is used for modeling fiber/matrix interface debond- ing. The behavior of fiber fracture is modeled by the famous Weibull statistic theory. A numerical example of con- tinuous fiber reinforced C/SiC composite under tensile loading is performed. The results show that the stress/ strain curve predicted by the developed model agrees with experimental data.     

PARAMETER ANALYSIS ON CIRCULATION CONTROLLED CIRCULAR CYLINDER FOR NOTARTM TAIL BOOM

Lift on circulation control （CC） circular cylinder is calculated via numerical simulations based on 2D real- izable k-e epsilon viscous model and compared with experimental data. The simulation result shows an acceptable agreement with tested data. With the proved grid and simulation method, series of simulations are conducted to study the effect of parameters on lift. Single slotted tail booms under different clown wash velocities are optimized with the principle of generating maximum total moment around the main rotor shaft with same total power con- sumption. The results show that larger jet flow velocity, or smaller blow angle, or larger diameter of the cross section can help generating larger lift while enhancing the attachment of both the jet flow and down wash flow. Multiple slotted tail boom is better because it increases lift with same total slot width, and can increase lift by in- creasing total slot width without causing separation, also it helps generating high steady lift at a big rank of slot at- tack angles. To mount a guide vane （GV） at the exit of the slot, or shape the upper slot wall like a smooth-GV, or design the slot with an edge fillet is not recommended because it reduces the velocity of both the jet flow and the upstream of the attached downwash flow. Compared with other shapes of the slots, arcs-profiled slot performs better because of larger jet flow velocity and smaller blow angle. In order to generate the largest moment with same total power consumed by the entire NOTARTM system, total width of the slots and slot attack angle should be optimized according to velocity of down wash flow.     

一种新型火星定点着陆轨迹快速优化方法

针对火星定点着陆任务大气进入段的轨迹规划问题,给出了一种基于hp Radau伪谱法的快速优化算法。综合考虑大气进入段的动力学约束、边值约束、以及着陆器的机动能力约束和安全性约束,结合hp Radau伪谱法的配点特性,将轨迹优化问题转换成一个大规模多约束参数优化问题,给出了大气进入段轨迹优化问题的求解框架;为了提高算法的计算效率,给出了参数优化过程中雅克比矩阵的解析表达式;并通过数学仿真对本文算法进行了数值验证,结果表明：     

基于分层神经网络的航天器故障诊断技术

为了提高卫星、飞船等复杂系统的故障诊断速度和精度,文章提出了一种基于分层神经网络的整星故障诊断模型。模型中的上层神经网络采用自组织特征映射网络,完成整星故障的初步定位与辨识;下层神经网络采用广义回归神经网络,实现整星各分系统故障的精确定位和定因。引入主元分析法实现原始状态变量的降维,减少神经网络神经元数量。该模型已成功应用于某卫星各分系统的故障诊断,提高了诊断效率,并能精确给出诊断结果。