基于BP神经网络的零件成组技术的研究

提出了一种基于BP神经网络的零件分类方法。通过200个典型零件样本对神经网络进行训练和测试,证明该基于BP神经网络的零件分类成组系统可实现零件的准确分类成组。     

基于深度前馈网络的自适应相对导航滤波

针对空间非合作翻滚目标近距离相对导航中出现测量异常偏差导致滤波精度下降甚至发散的问题,研究了具有抗差能力的自适应滤波估计方法。在设计了相对导航滤波模型的基础上,提出了基于深度前馈网络的自适应扩展卡尔曼滤波算法,并且详细设计了智能故障检测与估计的深度前馈网络模型与训练方法。数学仿真结果表明:深度前馈网络能够有效估计测量异常偏差且估计误差小于异常偏差值的15%,基于深度前馈网络的自适应扩展卡尔曼滤波结果显著优于常规扩展卡尔曼滤波。     

An enhanced least squares residual RAIM algorithm based on optimal decentralized factor

The Least Squares Residual (LSR) algorithm is commonly used in the Receiver Autonomous Integrity Monitoring (RAIM). However, LSR algorithm presents high Missed Detection Risk (MDR) caused by a large-slope faulty satellite and high False Alert Risk (FAR) caused by a small-slope faulty satellite. In this paper, the LSR algorithm is improved to reduce the MDR for a large-slope faulty satellite and the FAR for a small-slope faulty satellite. Based on the analysis of the vertical critical slope, the optimal decentralized factor is defined and the optimal test statistic is conceived, which can minimize the FAR with the premise that the MDR does not exceed its allowable value of all three directions. To construct a new test statistic approximating to the optimal test statistic, the Optimal Decentralized Factor weighted LSR (ODF-LSR) algorithm is proposed. The new test statistic maintains the sum of pseudo-range residual squares, but the specific pseudo-range residual is weighted with a parameter related to the optimal decentralized factor. The new test statistic has the same decentralized parameter with the optimal test statistic when single faulty satellite exists, and the difference between the expectation of the new test statistic and the optimal test statistic is the minimum when no faulty satellite exists. The performance of the ODF-LSR algorithm is demonstrated by simulation experiments.     

航天测控资源统一分配的多维遗传算法

对于航天器测控资源分配这一类时间窗受限的约束满足问题,国内外已有许多应用遗传算法的研究并取得了较好的成果。目前的研究主要针对的是低轨道航天器这类可见弧段较短、全弧段跟踪的问题,对于地球同步以及高轨道航天器这一类长弧段可见、非全弧段跟踪的资源分配问题,相关的应用研究较少。针对高低轨航天器测控资源统一分配问题的特点,经过对标准遗传算法的扩展,设计了一种能够描述高、低轨道航天器资源分配问题的多维编码方法,定义了相应的交叉算子、变异算子等算法要素,从而建立了一种能够解决航天测控资源统一分配问题的多维遗传算法。仿真计算表明,该算法能够有效解决目前我国航天测控网面临的"一网多星"管理模式下,高低轨航天器统一管理、统一分配测控资源的问题。     

MEMS冗余惯组小幅值故障检测的PCA算法设计和优化

当组成冗余惯组的陀螺为MEMS陀螺,而故障又为幅值比较小的阶跃故障时(仿真发现,阶跃故障幅值为陀螺噪声方差的10倍左右大小时),使用以往的PCA故障检验方法,陀螺噪声会造成故障检测的困难.针对这种情况,提出了MEMS冗余惯组小幅值故障检测的PCA(Principal Component Analysis)算法设计和优化的方法,在以往PCA算法的基础上结合假设检验算法,考虑了陀螺噪声的影响,降低了MEMS陀螺噪声对故障检测的影响.通过仿真验证,证实了本文算法比以往PCA算法具有更高的检测准确性和灵敏度,这对于提高整个系统的可靠性具有重要意义.     

基于离散混沌蝙蝠算法的测试点选择

针对模拟电路测试点的选择问题,基于智能优化算法的测试点选择方法相比于传统的迭代法具有一定的优越性,但是仍然存在算法复杂度过高等问题.在深入研究蝙蝠算法(BA)的基础上,采用混沌映射对算法进行优化,并用变换函数将算法离散化,提出一种离散混沌蝙蝠算法(CBBA),将算法应用于测试点选择.通过实验仿真,证明该算法具有较高的准确度,而且与其他算法对比发现,该算法具有更好的性能.     

深空组阵迭代FX相关合成算法及性能分析

针对火星距离下大规模天线组阵中极微弱接收信号的高效合成问题,在VLBI(Very Long Baseline Interferometry,甚长基线干涉测量)的FX相关器开环处理架构基础上提出了一种新的迭代FX相关合成算法,对算法原理进行了详细理论推导,对数据处理流程、算法合成性能等进行深入分析,与FSC(Full-Spectrum Combining,全频谱合成)、BC(Baseband Combining,基带合成)、SSC(Symbol-Stream Combining,符号流合成)等组阵方案进行性能仿真对比,并给出该算法在36接收天线组阵的实测试验结果。仿真和试验结果表明,迭代FX相关合成算法相比于FSC、BC、SSC等组阵方案具有较好的合成性能,在输入带内信噪比不低于-20d B时,合成效率达到了95%以上,非常适用于火星天线组阵微弱接收信号的组阵合成。     

时变加权LQT设计方法理论推导及应用

利用矩阵运算公式和极值原理,对时变加权性能指标下的线性二次型跟踪器(LQT)迭代方程进行了理论推导。以F-16飞机为例,利用飞行控制经验构建俯仰速率控制系统线性框图。在MATLAB/Simulink环境下,针对两种时变加权性能指标和一种定常加权性能指标,利用多变量优化算法完成了一个状态点的控制律参数设计,并进行了时域和频域对比分析,初步验证了时变加权LQT设计方法的工程可行性和有效性。     

Advanced multiple response surface method of sensitivity analysis for turbine blisk reliability with multi-physics coupling

To reasonably implement the reliability analysis and describe the significance of influencing parameters for the multi-failure modes of turbine blisk, advanced multiple response surface method(AMRSM) was proposed for multi-failure mode sensitivity analysis for reliability. The mathematical model of AMRSM was established and the basic principle of multi-failure mode sensitivity analysis for reliability with AMRSM was given. The important parameters of turbine blisk failures are obtained by the multi-failure mode sensitivity analysis of turbine blisk. Through the reliability sensitivity analyses of multiple failure modes(deformation, stress and strain) with the proposed method considering fluid–thermal–solid interaction, it is shown that the comprehensive reliability of turbine blisk is 0.9931 when the allowable deformation, stress and strain are3.7*10~(-3)m, 1.0023*10~9 Pa and 1.05*10~(-2)m/m, respectively; the main impact factors of turbine blisk failure are gas velocity, gas temperature and rotational speed. As demonstrated in the comparison of methods(Monte Carlo(MC) method, traditional response surface method(RSM), multiple response surface method(MRSM) and AMRSM), the proposed AMRSM improves computational efficiency with acceptable computational accuracy. The efforts of this study provide the AMRSM with high precision and efficiency for multi-failure mode reliability analysis, and offer a useful insight for the reliability optimization design of multi-failure mode structure.