首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多焊接电源控制技术
引用本文:张嘉波,张 宪.多焊接电源控制技术[J].华南农业大学学报(社会科学版),2011,29(4).
作者姓名:张嘉波  张 宪
作者单位:浙江工业大学特种装备制造与先进加工技术教育部重点实验室
摘    要:现代的膜式水冷壁制造工艺要求多达20台焊接电源同时工作,当外网原因使车间供电电压波动的时候,焊接电源群同时进行调整。群焊接电源的冲击性载荷对电网进行反激,导致电网的更大波动。文章引入优先级的概念,将自适应神经模糊推理系统(ANFIS)应用到焊接电源群的优先级控制上,设计了自适应神经模糊推理网络,并利用MATLAB平台进行整个焊接系统的建模和仿真。结果表明应用该优先级群控策略,各焊机调整能力加强,调整时间缩短,动态性能得到改善。

关 键 词:自适应神经网络  模糊推理  焊接电源

Control Technique in Multi-welding Powers
ZHANG Jia-bo,ZHANG Xian.Control Technique in Multi-welding Powers[J].Journal of South China Agricultural University:Social Science Edition,2011,29(4).
Authors:ZHANG Jia-bo  ZHANG Xian
Abstract:The manufacturing process of modern membrane water wall requires more than 20 sets of welding sources running at the same time .When the power supply of the factory fluctuates, the welding sources would be adjusted at the same time.But, the back action of welding power's impact-load, will cause the electric network even greater fluctuations.This paper, introduced the concept about the priority level, neuro-fuzzy inference system (ANFIS) and applied to the priority control of wedding power group.Thus designed a self-adaptive neuro-fuzzy inference net,and finish the modeling and simulation about the entire welding system by using MATLAB platform.The results show that the strategy of group control based on priority level can strengthen the welder's adjustment ability, shorten the adjustment time, and improve the dynamic performance.
Keywords:neural network  fuzzy inference  welding power
点击此处可从《华南农业大学学报(社会科学版)》浏览原始摘要信息
点击此处可从《华南农业大学学报(社会科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号