【摘要】 为解决传统线路板检测效率低、误差大、成本高等问题,本文设计了一种线路板自动光学检测运动控制系统。该系统以GALIL运动控制器为核心,采用双闭环控制理论使相机快速移动,准确定位。同时,运用混合遗传算法对电路板进行离线路径规划,以极少拍照次数,极短时间完成待测线路板图像采集,相比于顺序取像法,其效率提高了50%以上。该系统通过上位机UI界面实现对下位机的控制与监测,为线路板的图像提取与检测提供性能与精度俱佳的系统平台。更多还原

【Abstract】 In order to solve a series of problems such as low efficiency in traditional circuit board testing, great error and higher cost, this paper designed a kind of AOI motion control system for PCB, which has high precision and fast speed. It is centered on the GALIL motion controller, and adopts the double closed loop theory to make the camera moving fast and positioning accurately. At the same time, we use the hybrid genetic algorithm to program the test path of the PCB off-line, then we finished the image capture at the fewest number of photograph and the shortest time. The efficiency of this algorithm can be improved more than 50% than sequential image capture method. The interactive interface of PC controls and tests the lower position machine, so it provided a platform with good performance and precision for the image extraction and detection of the PCB.更多还原