传感器智能芯片与阵列光纤对接平台运动顺序优化

从运动平台空间运动可能存在的720种运动顺序配置入手, 针对智能芯片与阵列光纤对接过程各运动单元产生的几何误差进行敏感性分析, 通过区分和归类各运动单元的敏感误差和不敏感误差, 将运动平台运动顺序配置数减少到90;考虑到运动平台各运动单元具有均匀分散、齐整可比的特性, 运用正交试验设计方法将敏感误差和不敏感误差确定为3个水平, 将6个运动单元确定为6个影响因素, 建立了对应的正交试验表, 得出了5条运动顺序配置的试验路径; 借助MATLAB仿真平台对5条运动顺序配置的试验路径进行了仿真试验, 获得了运动平台运动顺序最优配置; 在封装系统多自由度精密运动平台上进行了实测试验, 检验了仿真试验结果。试验结果表明: 传感器智能芯片与阵列光纤对接的运动平台在空间直角坐标系中最优的运动顺序为先沿横轴平动, 再绕横轴转动, 再绕纵轴转动, 最后沿纵轴平动; 该方法可优化光纤扫描雷达传感器智能芯片与阵列光纤对接的运动平台的空间运动顺序, 还可预测和规划其他多自由度运动平台的配准路径。 

Optimization on motion sequence of alignment platform between sensor intelligent chip and fiber array

Starting with the 720 types of possible motion sequence configurations of spatial motion of motion platform, the sensitivity of geometric error generated by each moving unit during the alignment process between the intelligent chip and fiber array was analyzed. Through distinguishing and classifying the sensitive and insensitive error of each motion unit, the number of motion sequence configurations was reduced to 90. Considering the uniform, decentralized, neat, and comparable characteristics of each motion unit, the orthogonal test design method was used to determine the sensitive and insensitive errors into 3 levels, and determine the 6 motion units into 6 influencing factors. The corresponding orthogonal test table was established, and 5 test paths of motion sequence configurations were obtained. The 5 test paths of motion sequence configurations were simulated through the MATLAB simulation platform, and the optimal motion sequence configuration of motion platform was obtained. The field test was conducted on the multi-degree-of-freedom precision motion platform of packaging system, and the simulation results were verified. Test result indicates that the optimal motion sequence of motion platform for docking the sensor intelligent chip and fiber array in space rectangular coordinates is moving along the horizontal axis first, then rotating around the horizontal axis, and then rotating around the vertical axis, and finally moving along the vertical axis. This method can not only optimize the spatial motion sequence of motion platform aligned by fiber scanning radar sensor smart chip and array optical fiber, but also can predict and plan the registration paths of other multi-degree-of-freedom motion platforms.