Adaptive Predictive Control of Weld Penetration Depth Based on Hammerstein Model in Pulsed Gas Metal Arc Welding

被引：1
作者：
Wang W. [1 ,2 ]
Wang Z. [1 ,2 ]
Hu S. [1 ,2 ]
Xue K. [1 ,2 ]
Zhao G. [1 ,2 ]
机构：
[1] Tianjin Key Laboratory of Advanced Joining Technology, Tianjin University, Tianjin
[2] School of Materials Science and Engineering, Tianjin University, Tianjin
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2019年 / 55卷 / 19期
关键词：
Adaptive predictive control; GMAW-P; Hammerstein model; Simulation; Weld penetration depth control;
D O I：
10.3901/JME.2019.19.138
中图分类号：
学科分类号：
摘要：
To control weld penetration depth in real time in pulsed gas mental arc welding (GMAW-P) process, the voltage variation amplitude during a peak current period (ΔU) is proposed to characterize the change in weld penetration depth, and ΔU is measured and controlled to control weld penetration depth in GMAW-P process. A single input and single output system is established with ΔU as system output and base current as system input for the weld penetration depth control. The static model between the input and output of the system shows that the weld penetration depth control system has nonlinearity, which can be described by the Hammerstein model with the interference. The recursive least square method is added in classical predictive control algorithm, which is established based on the Hammerstein model, to identify the system model parameters online and to achieve adaptive control of the weld penetration depth. The control algorithm simulation results and the real time welding experiments prove that the adaptive predictive control algorithm can well control the weld penetration depth in GMAW-P process. The effectiveness and adaptability of the control algorithm are verified by variable heat dissipation experiments. © 2019 Journal of Mechanical Engineering.
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页码：138 / 145
页数：7
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