不确定参数结构特征值问题的概率统计方法和区间分析方法的比较

 基于区间数学理论、灵敏度分析理论、Kronecker代数理论,应用Taylor级数展开、概率摄动技术,提出了具有不确定参数结构的特征值问题的区间分析方法。结合工程实例与传统的概率分析方法进行比较,给出了两种方法的数值解法及各自解法的Kronecker代数形式。数值算例的结果显示了区间分析方法在具有不确定参数结构特征值问题分析中的价值和有效性。     

基于最短路径的SCI网络拓扑结构研究

 从航空电子系统的需求出发,对可扩展一致性接口(SCI)网络的拓扑结构进行了最短路径（跳数）研究。利用图论中的邻接矩阵变换方法,根据航空电子系统中SCI节点端口数的限制及SCI网络的小环组合结构的特点,对SCI推荐的网格形和蝶形两种网络进行了平均最小跳数的计算和分析,得出了SCI网络中小环方向的改变对平均最小跳数有影响的结论,并得到了该两种网络结构中平均最小跳数最少的拓扑形式。     

Autonomous Control Reconfiguration of Aerospace Vehicle Based on Control Effectiveness Estimation

未来空天飞行器跨空天两域飞行,要求有较高的自主性以适应由故障和环境变化带来的不确定因素。针对空天飞行器的不确定性,提出了自主控制重构方案。研究了线性模型的时变控制效益的估计方法,提出并证明了效益矩阵可估计的充分条件,给出了相应的算法并证明了其收敛性和对噪声的鲁棒性;提出了基于线性规划和模糊逻辑的控制分配算法,通过冗余效应器实现了不确定条件下的自主控制重构。系统集成和仿真结果分析验证了方案和算法的有效性。     

Investigation on the Thermal Conductivity of 3-Dimensional and 4-Directional Braided Composites

It is vital to choose a factual and reasonable micro-structural model of braided composites for improving the calculating precision of thermal property of 3-D braided composites by finite element method (FEM). On the basis of new microstructure model of braided composites proposed recently, the model of FEM calculation for thermal conductivity of 3-dimennsional and 4-directional braided composites is set up in this paper. The curves of coefficient of effective thermal conductivity versus fiber volume ratio and interior braiding angle are obtained. Furthermore, comparing the results of FEM with the available experimental data,the reasonability and veracity of calculation are confirmed at the same time.     

基于行波与模态的混合方法对Timoshenko梁进行振动主动控制

 基于Timoshenko梁理论,采用波控制和独立模态空间混合方法,对悬臂梁的振动控制问题进行研究。采用波控制方法实现对Timoshenko梁结构的一点或多点的横向位移的振动控制。首先,基于结构的整体运动,采用模态坐标控制方法,对结构振动进行整体控制设计。而后,基于结构的局部性质,采用波方法吸收结构振动中的高频能量并求出Timoshenko梁中波的反射因数和透射因数。理论上研究了单位力扰动下的悬臂梁的振动。考虑的具体方法是将PD反馈波控制与基于极点配置法设计的模态控制相结合。最后给出数值结果。     

Microstructure and Optical Characterization of Magnetron Sputtered NbN Thin Films

Some fundamental studies on the preparation, structure and optical properties of NbN films were carried out. NbN thin films were deposited by DC reactive magnetron sputtering at different N2 partial pressures and different substrate temperatures ranging from –50 ℃ to 600 ℃. X-ray diffraction analysis (XRD) and scanning electron microscopy (SEM) were employed to characterize their phase com- ponents, microstructures, grain sizes and surface morphology. Optical properties inclusive of refractive indexes, extinction coefficients and transmittance of the NbN films under different sputtering conditions were measured. With the increase in the N2 partial pressure, δ-NbN phase structure gets forming and the grain size and lattice constant of the cubic NbN increasing. The deposited NbN film has relatively high values of refractive index and extinction coefficient in the wavelength ranging from 240 nm to 830 nm. Substrate tem- perature exerts notable influences on the microstructure and optical transmittance of the NbN films. The grain sizes of the δ-NbN film remarkably increase with the rise of the substrate temperature, while the transmittance of the films with the same thickness decreases. Ultra-fine granular film with particle size of several nanometers forms when the substrate is cooled to –50 ℃, and a remarkable aug- mentation of transmittance could be noticed under so low a temperature.     

Energy-optimal trajectory planning for solar-powered aircraft using soft actor-critic

High-Altitude Long-Endurance(HALE) solar-powered Unmanned Aircraft Vehicles(UAVs) can utilize solar energy as power source and maintain extremely long cruise endurance,which has attracted extensive attentions from researchers. Trajectory optimization is a promising way to achieve superior flight time because of the finite solar energy absorbed in a day. In this work,a method of trajectory optimization and guidance for HALE solar-powered aircraft based on a Reinforcement Learning(RL) framework is...     

Space time clock: An on-chip clock with 10-12 instability

High precision and stable clock is extremely important in communication and navigation. The miniaturization of the clocks is considered to be the trend to satisfy the demand for5G and the next generation communications. Based on the concept of meter bar and the principle of the constancy of light velocity, we designed a micro clock, Space Time Clock(STC), with the size smaller than 1 mm × 1 mm and the power dissipation less than 2 m W. Designed in integrated circuit of 0.18 μm technology, the in...     

Neural Network aided PMSM multi-objective design and optimization for more-electric aircraft applications

This study uses the Neural Network(NN) technique to optimize design of surfacemounted Permanent Magnet Synchronous Motors(PMSMs) for More-Electric Aircraft(MEA)applications. The key role of NN is to provide dedicated correction factors for the analytical PMSM mass and loss estimation within the entire design space. Based on that, a globally optimal design can be quickly obtained. Matching the analytical estimation with Finite-Element Analysis(FEA) is the main research target of training the NN. ...     

基于改进深度学习模型的焊缝缺陷检测算法

针对传统深度学习模型在进行焊缝缺陷检测时对小缺陷目标检测效果不理想问题,提出基于改进深度学习Faster RCNN模型的焊缝缺陷检测算法,算法通过多层特征网络提取多尺度特征图并共同作用于模型后续环节,以充分利用模型中的低层特征,增加细节信息;改进模型的区域生成网络,加入多种滑动窗口,从而优化了模型锚点的长宽比设置,提高检测能力。实验表明,改进Faster RCNN模型取得最优的缺陷检测结果,对于小缺陷目标仍取得较好的检测精度,从而验证了算法的有效性。