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A fuzzy approach for on-line error compensation during robotic welding

机译:机器人焊接过程中在线误差补偿的模糊方法

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During robot welding operations in the manufacturing industry there is a need to modify on-line the welding path due to a mismatch in the position of the components to be welded. These positioning errors are due to multiple factors such as ageing of the components in the part conveyor system, clamp fixtures, disturbances, etc. Therefore, robot reprogramming is needed which requires a stop in the production line and consequently an increment in production costs. In this article, we present an alternative solution to this problem that involves the use of structured lighting using a low-cost laser beam, a CMOS camera and a Fuzzy Controller. To validate the proposed control system, a robotic cell was designed using an industrial KUKA KR16 robot for welding metallic plates. The method was evaluated experimentally under lateral and vertical positioning errors. The control interface includes apart from the misalignment correction, the on/off control of the welding power supply, arc voltage and current adjustment, welding torch speed and the control of the distance between the torch's tip and the welding plate. Obtained results using the experimental design method showed a maximum error of 1.6mm, which is considered appropriate for the welding of industrial beads in metallic plates and which demonstrates the method's effectiveness in practical situations.
机译:在制造业中的机器人焊接操作期间,由于待焊接部件的位置不匹配,需要在线修改焊接路径。这些定位错误是由于多种因素引起的,例如零件传送系统中的组件老化,夹具固定,干扰等。因此,需要对机器人进行重新编程,这需要在生产线上停止,从而增加生产成本。在本文中,我们提供了针对此问题的替代解决方案,其中涉及使用结构化照明,该结构化照明使用低成本的激光束,CMOS相机和模糊控制器。为了验证所提出的控制系统,使用工业KUKA KR16机器人设计了一个机器人单元,用于焊接金属板。该方法在横向和垂直定位误差下进行了实验评估。该控制界面除了失准校正之外,还包括焊接电源的开/关控制,电弧电压和电流调节,焊枪速度以及焊枪尖端与焊板之间距离的控制。使用实验设计方法获得的结果显示最大误差为1.6mm,这被认为适合于金属板中工业焊珠的焊接,并且证明了该方法在实际情况下的有效性。

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