电磁线圈发射器垂直发射过程建模与仿真

根据同步感应线圈发射器工作原理,建立了用于垂直发射大载荷的电磁线圈发射器数学模型;以5级发射器为例,对其垂直发射过程进行了动态仿真,得到了放电回路中的电流、发射组件所受电磁力、速度及位移等参数随时间变化的特性曲线。结果表明:电磁线圈发射器(EMCL)垂直发射大载荷过程中载荷的加速过程比较平稳,电流的变化率相对较缓,为几十ms量级;发射组件速度对自身所受电磁力影响较大,随着速度增大,发射组件受到的电磁推力有所下降;随着驱动线圈级数增多,各级驱动线圈放电控制难度加大。但相比电磁线圈炮的超高速发射,EMCL用于低速发射大载荷过程的馈电控制要简单很多。     

Prediction of forming limit curve （FLC） for AI-Li alloy 2198-T3 sheet using different yield functions

The Forming Limit Curve （FLC） of the third generation aluminum-lithium （Al-Li） alloy 2198-T3 is measured by conducting a hemispherical dome test with specimens of different widths. The theoretical prediction of the FLC of 2198-T3 is based on the M-K theory utilizing respectively the von Mises, Hill＇48, Hosford and Barlat 89 yield functions, and the different predicted curves due to different yield functions are compared with the experimentally measured FLC of 2198-T3. The results show that though there are differences among the four predicted curves, yet they all agree well with the experimentally measured curve. In the area near the planar strain state, the predicted curves and experimentally measured curve are very close. The predicted curve based on the Hosford yield function is more accurate under the tension-compression strain states described in the left part of the FLC, while the accuracy is better for the predicted curve based on Hill＇48 yield function under the tension-tension strain states shown in the right part.     

Prediction of forming limit curve (FLC) for Al-Li alloy 2198-T3 sheet using different yield functions

The Forming Limit Curve (FLC) of the third generation aluminum-lithium (Al-Li) alloy 2198-T3 is measured by conducting a hemispherical dome test with specimens of different widths. The theoretical pred...     

面向海洋机动目标跟踪监视的卫星重构组网优化与仿真

摘要： 针对海洋机动目标跟踪监视问题，提出通过卫星相位重构调整进行机动目标搜索跟踪的监视策略，构建地理坐标系下机动目标航位预测模型及基于霍曼转移的卫星调相组网方式，并采用NSGA II算法进行优化求解，对比分析卫星重构组网前后的机动目标发现概率.仿真结果表明：在卫星能量消耗允许范围内进行重构组网，能够有效提升对机动目标的发现概率，为海洋机动目标的搜索跟踪问题提供了一定的方法支持.     

传动比和转速对永磁齿轮传动特性的影响研究

介绍了一种径向调制永磁齿轮，运用有限元技术，通过变更仿真条件中的传动比和转速，并对仿真结果中的输出转矩和传动效率进行分析，从而获得传动比和转速对输出转矩和传动效率的影响规律。结果表明，随着传动比的增大，输出转矩呈二次曲线规律变化，而传动效率则呈减小趋势；相同传动比下，随着主动转子转速的增大，输出转矩和传动效率均呈减小趋势；提出了以传动效率〖WTBX〗η〖WTBZ〗为目标值的等效率曲线概念，得到了η=90%时的等效率曲线i~n₁（i和n₁分别代表传动比和主动转子转速），当n₁和i的交点位于等效率曲线下方时，即可满足η>90%。     

电子设备故障预测与健康管理技术发展新动态

电子设备是各类航空、航天等高新技术装备必不可少的重要组成部分。与机械类设备存在明显退化状态征兆不同，电子设备退化状态无明显的外在表现，尚无有效征兆对其状态进行刻画，对其进行故障预测与健康管理存在一定的困难。针对该问题，梳理了电子设备故障预测与健康管理技术的基本概念和内涵，介绍了电子设备故障预测与健康管理技术的国内外研究现状，分析了当前复杂电子设备故障预测与健康管理技术面临的挑战和对策。在此基础上，结合未来复杂电子设备新特点及该领域最新研究进展，从基于间歇故障特征的健康状态表征、面向故障预测与健康管理的测试性设计和多源特征融合的健康状态评估等方面，提出了电子设备故障预测与健康管理技术发展的新方向。     

Uncertainty propagation for statistical impact prediction of space debris

Predictions of the impact time and location of space debris in a decaying trajectory are highly influenced by uncertainties. The traditional Monte Carlo (MC) method can be used to perform accurate statistical impact predictions, but requires a large computational effort. A method is investigated that directly propagates a Probability Density Function (PDF) in time, which has the potential to obtain more accurate results with less computational effort. The decaying trajectory of Delta-K rocket stages was used to test the methods using a six degrees-of-freedom state model. The PDF of the state of the body was propagated in time to obtain impact-time distributions. This Direct PDF Propagation (DPP) method results in a multi-dimensional scattered dataset of the PDF of the state, which is highly challenging to process. No accurate results could be obtained, because of the structure of the DPP data and the high dimensionality. Therefore, the DPP method is less suitable for practical uncontrolled entry problems and the traditional MC method remains superior. Additionally, the MC method was used with two improved uncertainty models to obtain impact-time distributions, which were validated using observations of true impacts. For one of the two uncertainty models, statistically more valid impact-time distributions were obtained than in previous research.     

PCE方法在空间实验室轨道预报误差分析中的应用

应用多项式混沌展开法(PCE)进行空间实验室轨道预报误差分析。通过构建PCE模型对轨道预报的不确定性传播过程进行近似，进而对轨道预报后航天器位置和速度的误差进行分析。分析了不同PCE模型阶数、预报时长以及样本点的数目对构建PCE模型的影响。综合考虑精度和计算效率，给出了适用于空间实验室轨道预报误差分析的PCE模型。将PCE方法与传统方法进行对比，结果表明PCE方法有较好的非线性近似能力，且计算效率高，验证了PCE方法应用于空间实验室轨道预报误差分析的有效性。     

A novel predictive algorithm for double difference observations of obstructed BeiDou geostationary earth orbit (GEO) satellites

Transmission link disturbances and device failure cause global navigation satellite system (GNSS) receivers to miss observations, leading to poor accuracy in real-time kinematic (RTK) positioning. Previously described solutions for this problem are influenced by the length of the prediction period, or are unable to account for changes in receiver state because they use information from previous epochs to make predictions. We propose an algorithm for predicting double difference (DD) observations of obstructed BeiDou navigation system (BDS) GEO satellites. Our approach adopts the first-degree polynomial function for predicting missing observations. We introduce a Douglas-Peucker algorithm to judge the state of the rover receiver to reduce the impact of predictive biases. Static and kinematic experiments were carried out on BDS observations to evaluate the proposed algorithm. The results of our navigation experiment demonstrate that RTK positioning accuracy is improved from meter to decimeter level with fixed ambiguity (horizontal?<?2?cm, vertical?<?18?cm). Horizontal accuracy is improved by over 50%, and the vertical accuracies of the results of the static and kinematic experiments are increased by 47% and 27% respectively, compared with the results produced by the classical approach. Though as the baseline becomes longer, the accuracy is weakened, our predictive algorithm is an improvement over existing approaches to overcome the issue of missing data.