摘要
将视觉传感技术与自适应控制技术相结合用于铝合金TIG焊接过程质量控制。分析了铝合金焊接过程的特点 ,将随机系统理论引入焊接过程 ,建立了焊接参数与熔池几何参数之间的随机系统模型 ,实现了对模型参数的在线辨识。设计了基于最小方差调节的自适应焊接电流调节器。试验结果表明 ,自适应控制方法可以实现对铝合金TIG焊缝成形的良好控制。
The vision technology with adaptive control technology are used in TIG welding quality control of the aluminium alloy. The specialties of the TIG welding process for aluminium alloy are analysed, introduced stochastic system theory into the welding process. Then, stochastic models between welding condition and the parameters of weld pool have been established and the on-line identification of the model parameters is realized. The adaptive welding current adjuster based on the minimum variance theory is designed. The experiments show that adaptive system is excellent in controlling weld bead for aluminium alloy TIG welding.
出处
《焊接学报》
EI
CAS
CSCD
北大核心
2003年第4期17-20,24,共5页
Transactions of The China Welding Institution
基金
上海市科委重点攻关项目 (0 2 1111116)
教育部博士点基金资助项目 (2 0 0 2 0 2 480 15 )
关键词
铝合金
TIG焊
自适应控制
视觉传感
质量控制
系统辨识
焊接
Adaptive control systems
Computer vision
Identification (control systems)
Mathematical models
Welding
