A learning-based approach for solving shear stress vector distribution from shear-sensitive liquid crystal coating images

A learning-based approach for solving wall shear stresses from Shear-Sensitive Liquid Crystal Coating(SSLCC) color images is presented in this paper. The approach is able to learn and establish the mapping relationship between the SSLCC color-change responses in different observation directions and the shear stress vectors, and then uses the mapping relationship to solve wall shear stress vectors from SSLCC color images. Experimental results show that the proposed approach can solve wall shear s...     

飞机结构型材压损应力的工程分析方法探讨

介绍了角元法、切割法和板元法三种飞机结构型材压损的计算方法。采用切割法和板元法对某型飞机机身长桁压损试验件进行了计算，结果表明切割法和板元法均为偏保守的计算方法，切割法偏保守4%以上，板元法偏保守11%以上。切割法的计算结果更接近试验结果，为提高机体结构效率，减轻结构重量，建议采用切割法进行工程计算。     

Optimal crater landmark selection based on optical navigation performance factors for planetary landing

Planetary craters are natural navigation landmarks that widely exist and are easily observed. Optical navigation based on crater landmarks has become an important autonomous navigation method for planetary landing. Due to the increase in observed crater landmarks and the limitation of onboard computation, the selection of good crater landmarks has gradually become a research hotspot in the field of landmark-based optical navigation. This paper designs a fast crater landmark selection method, which not only considers the configuration observability of crater subsets but also focuses on the influence on navigation performance arising from the measurement uncertainty and the matching confidence of craters, which is different from other landmark selection methods. The factor of measurement uncertainty, which is anisotropic, correlated and nonidentically distributed, is quantified and integrated into selection based on crater pairing detection and localization error evaluation. In addition, the concept of the crater matching confidence factor is introduced, which reflects the possibility of 2D projection measurements corresponding to 3D positions. Combined with the configuration observability factor, the crater landmark selection indicator is formed. Finally, the effectiveness of the proposed method is verified by Monte Carlo simulations.     

IABC: An iteratively automatic machine learning boosted hand-eye calibration method for laser displacement sensor

An on-machine measuring (OMM) system with a laser displacement sensor (LDS) is designed for measuring free-form surfaces of hypersonic aircraft’s radomes. To improve the measurement accuracy of the OMM system, a novel Iteratively Automatic machine learning Boosted hand-eye Calibration (IABC) method is proposed. Both the hand-eye relationship and LDS measurement errors can be calibrated in one calibration process without any hardware changes via IABC. Firstly, a new objective function is derived, containing analytical parameters of the hand-eye relationship and LDS errors. Then, a hybrid calibration model composed of two kernels is proposed to solve the objective function. One kernel is the analytical kernel designed for solving analytical parameters. Another kernel is the automatic machine learning (AutoML) kernel designed to model LDS errors. The two kernels are connected with stepwise iterations to find the best calibration results. Compared with traditional methods, hand-eye experiments show that IABC reduces the calibration RMSE by about 50%. Verification experiments show that IABC reduces the measurement deviations by about 25%-50% and RMSEs within 40%. Even when the training data are obviously less than the test data, IABC performs well. Experiments demonstrate that IABC is more accurate than traditional hand-eye methods.     

火箭基组合循环发动机引射过程准一维分析方法研究

目前对引射过程的分析模型还比较简单并且不准确。为提高引射分析模型精度，从引射过程的物理机制出发，以速度差异导致的质量交换作为一、二次流掺混过程的控制因素，以一次流动量覆盖整个法向截面时的参数剖面计算引射效果，建立了引射过程分析方法，并采用数值模拟和试验结果对方法进行了验证。结果表明：一、二次流掺混过程的计算模型能反映横截面上参数的变化趋势；当一次流处于过膨胀状态和轻度欠膨胀状态时，本方法计算的引射系数偏差在4.56%以内；当一次流处于严重欠膨胀状态时，在利用特征线法对截面静压进行校正以后，偏差在6%以内；以上精度均优于传统的Fabri模型。本方法还能准确地获得引射系统的临界背压，因此更适用于RBCC发动机这种有背压的应用场景。     

无人机协同测控中SC-FDMA技术设计

针对无人机协同任务测控传输的多机接入问题,提出基于分布式任务分配模型的高动态SC-FDMA技术.通过将贪婪原则、信道动态分配机制和多用户接入技术结合,利用集中映射方式设计子信道数目可调的映射规则,配置各无人机节点所占用子载波数目.仿真结果表明,与传统FDMA、CDMA、TDMA、OFDMA等相比,基于SC-FDMA设计...     

Collaborative force and shape control for large composite fuselage panels assembly

This study proposed a force and shape collaborative control method that combined method of influence coefficients(MIC) and the elitist nondominated sorting genetic algorithm(NSGA-II) to reduce the shape deviation caused by manufacturing errors, gravity deformation,and fixturing errors and improve the shape accuracy of the assembled large composite fuselage panel. This study used a multi-point flexible assembly system driven by hexapod parallel robots. The proposed method simultaneously considers...     

SINS/BDS紧组合系统中自适应 两阶段扩展卡尔曼滤波

在实际应用中，以伪距/伪距率为观测量的SINS/BDS紧组合导航系统，存在量测噪声的统计特性与实际不相符的情况，传统扩展卡尔曼滤波（EKF）方法无法有效解决这一问题，从而引起滤波误差增大。提出了一种SINS/BDS紧组合导航系统的GDOP估算及在线估计量测噪声的自适应两阶段EKF（ATEKF）方法，该方法使用经过紧组合修正后的SINS输出的位置，并结合星历数据中提供的卫星位置求解GDOP。在此基础上，利用GDOP值以及新息，实现了紧组合导航系统的量测噪声方差阵（Rk）的在线实时估计，从而达到自适应滤波的效果，改善导航精度。     

火箭发动机涡轮泵转速遥测数据实时处理方法

火箭飞行试验过程中,一般通过连续处理测量设备输出的脉冲周期计算发动机涡轮泵转速.受测控站接力跟踪及接收条件限制,遥测数据存在不连续、短时中断等现象,极易造成数据处理错误.通过研究脉冲参数在传输时的状态及状态转移,并对实时跟踪时出现的数据中断、异常值处理等情况进行分析,提出一种基于有穷自动机理论的处理模型,有效解决了测量...     

GPS接收机的自主完善性监测算法研究

完善性监测是 GPS接收机研制过程中的重要技术问题之一 ,其功能是在接收机不能用于导航服务时向用户提供告警信息。文中对基于最小二乘残差法的 GPS接收机自主完善性监测 (RAIM)算法进行分析与研究 ,并给出了检测门限的求解方法 ,最后对将该算法应用于 GPS/GL ONASS组合接收机时存在的问题进行了探讨。这一算法在某型号接收机的相关实验中取得了较好的效果。