基于双目视觉的多型号电连接器检测技术

通过双目视觉平台捕获图像反馈PC机，采用基于支持向量机（SVM）的机器学习方法对目标进行分类。判定型号并为每个型号加载图像处理检测方案及参数矩阵，实现电连接器针脚的柔性定位预处理，之后执行针顶轮廓的精确拟合算法，结合插针排列模版实现其三项检测工作。最后，通过实例验证与重复精度实验，结果表明本文方法具备面向多型号的柔性检测能力，并且稳定性，精度，效率满足低频连接器的检验要求。     

任意多面体网格上的欧拉方程数值算法

发展并验证了一种新的支持多面体网格的欧拉方程离散算法,采用Fortran 95编写了支持任意网格拓扑及三维复杂外形的通用求解器.在空间离散上,基于径向基函数理论提出了一种新的梯度计算方法,并采用动能通量分裂格式来得到准确并且稳定的二阶精度重构.该方法不依赖于网格几何形状,因此对网格质量不敏感.由于在时间方向采用了点隐松...     

多输入多输出电磁矢量阵列雷达的DOD和DOA联合估计

研究一种基于电磁矢量传感器阵列的多输入多输出(MIMO)雷达目标波离角(DOD)和波达角(DOA)的联合估计算法.提出了一种新型MIMO雷达系统,发射阵列采用常规阵元,而接收阵列采用电磁矢量传感器,在此基础上,算法首先利用矢量传感器的内在结构特点结合子空间旋转不变性质获得目标DOA预估计,随后采用最佳加权子空间拟合算法...     

旋转调制式激光惯性测量单元的误差标定研究

本文针对旋转调制式激光惯性测量单元的结构特点,分析了其误差特性,提出了单元体自旋转的误差标定方法,实现了惯性测量单元的误差分离与快速精确标定.实验证明该方法测试方法简单,操作过程容易,标定结果满足系统精度的需要.     

Magnetogasdynamic shock wave generated by a moving piston in a rotational axisymmetric isothermal flow of perfect gas with variable density

The propagation of a strong cylindrical shock wave in an ideal gas with azimuthal magnetic field, and with or without axisymmetric rotational effects, is investigated. The shock wave is driven out by a piston moving with time according to power law. The ambient medium is assumed to have radial, axial and azimuthal component of fluid velocities. The fluid velocities, the initial density and the initial magnetic field of the ambient medium are assumed to be varying and obey power laws. Solutions are obtained, when the flow between the shock and the piston is isothermal. The gas is assumed to have infinite electrical conductivity and the angular velocity of the ambient medium is assumed to be decreasing as the distance from the axis increases. It is expected that such an angular velocity may occur in the atmospheres of rotating planets and stars. The shock wave moves with variable velocity and the total energy of the wave is non-constant. The effects of variation of the initial density and the Alfven-Mach number on the flow-field are obtained. A comparison is also made between rotating and non-rotating cases.     

Composite impact vector control based on Apollo descent guidance

A new three-dimensional missile guidance law to control the impact vector against a stationary target is proposed. The composite guidance law has two well-known components: Apollo descent guidance and trajectory shaping guidance. These respectively linear and planar guidance laws are combined to achieve a specified impact direction. The main idea is to define an impact plane and to steer the missile onto this plane using Apollo descent guidance while concurrently performing trajectory shaping wi...     

基于气隙磁场定向的无轴承异步电机非线性解耦控制

无轴承异步电机是一个强耦合的非线性复杂系统，实现了其电磁转矩和径向悬浮力之间的解耦控制是该电机稳定运行的前提。本在研究电机磁悬浮机理的基础上，提出了利用气隙磁场定向控制来实现两之间的动态解耦控制。仿真实验也证明该控制算法不仅能实现电机稳定的悬浮，而且使电机具有良好的调速性能。     

双 Y移 30°永磁同步电动机串联系统的仿真

双Y移30°永磁同步电动机串联系统可以实现同一变频电源供电和同一套控制平台下2台电机的解耦运行,节省了控制装置和外围电路,降低控制系统的体积、重量与成本。文章给出了双Y移30°永磁同步电动机串联系统的矢量控制策略,建立了仿真数学模型,并进行了变负载运行的仿真,结果验证了该串联系统解耦运行的可行性。     

Auto-normalization algorithm for robotic precision drilling system in aircraft component assembly

A novel approach is proposed to detect the normal vector to product surface in real time for the robotic precision drilling system in aircraft component assembly, and the auto-normalization algorithm is presented based on the detection system. Firstly, the deviation between the normal vector and the spindle axis is measured by the four laser displacement sensors installed at the head of the multi-function end effector. Then, the robot target attitude is inversely solved according to the auto-normalization algorithm. Finally, adjust the robot to the target attitude via pitch and yaw rotations about the tool center point and the spindle axis is corrected in line with the normal vector simultaneously. To test and verify the auto-normalization algorithm, an experimental platform is established in which the laser tracker is introduced for accurate measurement. The results show that the deviations between the corrected spindle axis and the normal vector are all reduced to less than 0.5°, with the mean value 0.32°. It is demonstrated the detection method and the auto-normalization algorithm are feasible and reliable.