基于改进BP算法的复杂武器系统健康状态评估

根据复杂武器系统指标体系的确定原则：系统性原则、完整性原则、独立性原则、可比性原则、可操作性原则和定性与定量相结合的原则,建立了某复杂武器系统健康指标体系;分析了基本BP神经网络的优点及BP算法的缺陷,研究了一种改进的BP算法;建立了某复杂武器系统健康管理BP神经网络结构;对某复杂武器系统健康状态进行了评估,验证了指标体系的合理性。     

Collaborative optimization design of process parameter and structural topology for laser additive manufacturing

High-resolution laser additive manufacturing (LAM) significantly releases design freedom, promoting the development of topology optimization (TO) and advancing structural design methods. In order to fully take advantage of voxelated forming methods and establish the quantitative relationship between the mechanical properties of printing components and multiple process factors (laser- and process- parameters), the concurrent optimization design method based on LAM should cover the process-performance relationship. This study proposes a novel artificial intelligence-facilitated TO method for LAM to concurrently design microscale material property and macroscale structural topology of 3D components by adopting heuristic and gradient-based algorithms. The process–structure–property relationship of selective laser sintering is established by the back propagation neural network, and it is integrated into the TO algorithm for providing a systematic design scheme of structural topology and process parameter. Compared with the classical optimization method, numerical examples show that this method is able to improve the mechanical performance of the macrostructure significantly. In addition, the collaborative design method is able to be widely applied for complex functional part design and optimization, as well as case studies on artificial intelligence-facilitated product evaluation.     

高反压环境中空气雾化喷嘴的雾化性能

使用美国Ｐｕｒｄｕｅ大学“热力科学及推进研究中心”的高反压喷嘴试验设备，试验研究了空气雾化喷嘴在高反压环境中的雾化性能，试验中对一种典型空气雾化喷嘴，使用粘度分别为０．００１，０．０５０和０．１００Ｐａ．ｓ的三种液体，在０．１－１．８ＭＰａ反压范围内，用Ｍａｌｖｅｒｎ粒度分析仪，测量了喷雾的液滴平均直径及液滴尺寸分布。试验结果表明，在试验的环境压力和液体粘度范围内，提高喷嘴的气液比总是起着改善雾化     

Retrieval of spinach crop parameters by microwave remote sensing with back propagation artificial neural networks: A comparison of different transfer functions

Back propagation artificial natural network (BPANN) is a well known and widely used machine learning methodology in the field of remote sensing. In this paper an attempt is made to retrieve the spinach crop parameters like biomass, leaf area index, average plant height and soil moisture content by using the X-band scattering coefficients with BPANN at different growth stages of this crop. The maturity age of this crop was found to be 45 days from the date of sowing. After 45 days from the date of sowing, this crop was cut at a certain height for production. Then, it is a point of interest to investigate the microwave response of variation in production. Significant variations in all the crop parameters were observed after cutting the crop and consequently made the problem more critical. Our work confirms the utility of BPANN in handling such a non-linear data set. The BPANN is essentially a network of simple processing nodes arranged into different layers as input, hidden and the output. The input layer propagates components of a particular input vector after weighting these with synaptic weights to each node in the hidden layer. At each node, these weighted input vector components are added. Each hidden layer computes output corresponding to these weighted sum through a non-linear/linear function (e.g. LOGSIG, TANSIG and PURLIN). These functions are known as transfer functions. Thus, each of the hidden layer nodes compute output values, which become inputs to the nodes of the output layer. At nodes of output layer also a weighted sum of outputs of previous layer (hidden layer) are obtained and processed through a transfer function. Thus, the output layer nodes compute the network output for the particular input vector. In this paper, output nodes use linear transfer function. Different transfer functions e.g. TANSIG, LOGSIG and PURELIN were used and the performance of the ANN was optimized by changing the number of neurons in the hidden layers. The present analysis suggests the need of critical analysis of the BPANN in terms of selection of the best transfer function and other network parameters for the better results.     

SGCMG高速转子无位置传感器控制

采用无位置传感器控制的单框架控制力矩陀螺（SGCMG）高速转子系统可以降低整机复杂度,提高整机可靠性。文章设计了适用于半桥驱动无刷直流电机的反电势位置检测方法和干扰去除方法,无需滤波电路,位置检测精度高。在开环起动阶段,提出了适用于大惯量比负载的“预定位—恒流升频起动—转速估计起动—切换”的四段式起动方法,提高了起动过程的可靠性。通过仿真和试验验证了方法的有效性,实现了SGCMG无位置传感器高速转子系统的高可靠起动和高精度控制。     

耐高温隔热材料组合结构模拟研究与试验验证

以热防护系统隔热组合结构中不同隔热材料厚度尺寸为计算变量,以飞行器主结构温度极值即最低背面温度为目标参数,以组合结构中第二层材料最高使用温度为约束条件建立隔热组合结构模型,并进行了石英灯考核验证。采用通用软件ANSYS 进行一维瞬态有限元热分析,将模型计算结果和试验结果进行了全面对比,各项数据吻合良好。