基于自适应模糊控制的汽车焊接过程方法研究

Research on Automotive Welding Process Method Based on Adaptive Fuzzy Control

针对当前汽车车身焊接费时费力、焊点不连续、表面质量差等问题,提出一种基于自适应模糊控制的焊接过程算法。通过构建工业机器人、C型短式伺服焊钳及旋转式双面夹具台的运动模型,利用模糊规则制定PID控制参数,有效提高了伺服控制系统的跟踪精度及动态响应能力。试验结果表明,该方法能较好地解决车身连续焊接过程生产的问题。

Aiming at the current automobile body welding time-consuming and laborious,discontinuous weld joints,poor surface quality and other defects,this paper proposes an algorithm for the welding process based on adaptive fuzzy control.By constructing the motion model of industrial robot,C-type short servo welding clamp and rotary double-sided fixture table,we utilize fuzzy rules to formulate the PID control parameters,which effectively improve the tracking accuracy and dynamic response capability of the servo control system.The test results show that the method can better solve the problem of continuous body welding process production.