焊缝跟踪RBF整定PID控制算法  

Control algorithm of PID adjusted by RBF neural network for seam tracking

作　　者：黄有概 高向东[1] 

机构地区：[1]广东工业大学机电工程学院,广东广州510006

出　　处：《电焊机》2016年第1期14-17,共4页Electric Welding Machine

基　　金：广东省自然科学基金资助项目(10251009001000001);高等学校博士学科点专项科研基金资助项目(20104420110001)

摘　　要：针对电弧焊接系统,研究一种基于径向基神经网络与比例积分微分控制相结合的焊缝跟踪控制新方法。在建立基于视觉传感的电弧焊焊缝跟踪系统的基础上,分析系统运动机构原理并研究两相混合式步进电机驱动焊炬运动数学模型,结合研究对象进行计算机仿真研究。试验结果表明,基于径向基整定比例积分微分的控制方法能够有效提高焊缝跟踪性能。A new approach is proposed for seam tracking based on PID （proportion,integral,derivative） control adjusted by RBF（radial basis function） neural network during arc welding.After the establishment of seam tracking system based on machine vision ,the movement mechanism of seam tracking system and mathematical model of hybrid stepping motor were analyzed.Then the computer simulation for seam tracking system was investigated.The experimental results showed that the performance of seam tracking could be promoted by the proposed algorithm based on the combination of PID and RBF neural network.

关 键 词：焊缝跟踪 混合式步进电机 RBF神经网络 PID控制 

分 类 号：TG409[金属学及工艺—焊接]