Application of Fuzzy Control in TIG Welding Seam Tracking

2011 ◽  
pp. 223-229
Author(s):  
Jian-ping Jia ◽  
Wei Jin ◽  
Hong-li Li ◽  
Shun-ping Yao
Keyword(s):  
Fuzzy Control ◽  
Tig Welding ◽  
Seam Tracking ◽  
Welding Seam

A Fuzzy Controller Design of Seam Tracking for Welding Robot

2012 ◽  
Vol 442 ◽  
pp. 370-374 ◽  
Author(s):  
Yong Qiang Wu ◽  
Zhong Hu Yuan ◽  
Jia Han Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Tracking Control ◽  
Weld Seam ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Seam Tracking ◽  
Welding Robot ◽  
Welding Seam ◽  
Welding Torch

Kinematics model of welding robot is built in the paper. An improved fuzzy controller (Fuzzy-P) for welding robot mobile platform is designed based on analyzing seam tracking control system. The domain of fuzzy control should not be set too big in order to make system smooth, but the system must respond rapidly. P control can respond rapidly. When weld seam deviation is big,it adopts P control while seam deviation is small, it adopts Fuzzy-P control. The simulation result shows that the improved controller is effective for 45°broken line; the welding torch is able to track the welding seam well.

Design of Weld Seam Tracking Control System Based on DSP

2011 ◽  
Vol 55-57 ◽  
pp. 1759-1763
Author(s):  
Zhong Hu Yuan ◽  
Shuo Jun Yu ◽  
Xiao Wei Han
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Real Time ◽  
Digital Signal Processor ◽  
Weld Seam ◽  
Tracking System ◽  
Seam Tracking ◽  
Real Time Control ◽  
Welding Seam ◽  
Weld Seam Tracking

In the process of weld seam tracking, traditional mathematical model of classical and modern control theory is hard to meet the requirement of high performance controller. This article based on the embedded digital signal processor DSP-TMS320F2812 for the field of industrial automation control.The fuzzy control technology is applied to real-time welding seam-tracking system, according to the F2812 which has the characteristics of real-time multitasking scheduling of resources and then designed the real-time control value adjustment Fuzzy-PI control system. The designed DSP real-time fuzzy control system gives full play to powerful control and signal processing ability of F2812, it can fully adapt for the controlling requirement of super-speed and high-precision.

Robust welding seam tracking using image seam extraction

2012 ◽  
Vol 17 (2) ◽  
pp. 155-161 ◽  
Author(s):  
J S Chen ◽  
G D Su ◽  
S B Xiang
Keyword(s):  
Seam Tracking ◽  
Welding Seam

Three Dimension Curve Welding Seam Modeling for Seam Tracking

2008 ◽  
Vol 41 (2) ◽  
pp. 9186-9191 ◽  
Author(s):  
Haiyong Chen ◽  
De Xu ◽  
Hong Wang
Keyword(s):  
Seam Tracking ◽  
Three Dimension ◽  
Welding Seam

An Investigation of Dissimilar Welding Aluminum Alloys to Stainless Steel by the Tungsten Inert Gas (TIG) Welding Process

2017 ◽  
Vol 904 ◽  
pp. 19-23
Author(s):  
Van Nhat Nguyen ◽  
Quoc Manh Nguyen ◽  
Dang Thi Huong Thao ◽  
Shyh Chour Huang
Keyword(s):  
Stainless Steel ◽  
Aluminum Alloy ◽  
Welding Process ◽  
Dissimilar Materials ◽  
Welding Current ◽  
Tig Welding ◽  
Inert Gas ◽  
Dissimilar Welding ◽  
Adjacent Area ◽  
Welding Seam

Welding dissimilar materials has been widely applied in industries. Some of them are considered this as a strategy to develop their future technology products. Aluminum alloy and stainless steel have differences in physical, thermal, mechanical and metallurgic properties. However, selecting a suitable welding process and welding rods can solve this problem. This research aimed to investigate the T-joint welding between A6061 aluminum alloy and SUS304 stainless steel using new welding rods, Aluma-Steel by the Tungsten Inert Gas (TIG) welding process. The mechanical properties, the characteristics of microstructure, and component analysis of the welds have been investigated by the mechanical testing, scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). As a result, the fracture occurred at the adjacent area between welding seam and A6061 alloys plate. The thermal cracking appeared at central welding-seam along the base metals if high welding current. A large amount of copper elements found in the welds due to using the new welding rod, Aluma-Steel rod.

Kalman Filtering for Seam Tracking in Master-Slave Robot Remote Welding System

2011 ◽  
Vol 314-316 ◽  
pp. 1005-1008
Author(s):  
Hong Tang Chen ◽  
Hai Chao Li ◽  
Hong Ming Gao ◽  
Lin Wu
Keyword(s):  
Kalman Filtering ◽  
Seam Tracking ◽  
Experimental Results ◽  
Welding Quality ◽  
Welding Seam ◽  
Tracking Process ◽  
Key Factor ◽  
Remote Welding ◽  
Welding System

Welding seam tracking precision is a key factor influencing welding quality for master-slave robot remote welding system. However, it does not satisfy the welding requirement due to significant noises. To eliminate the influence of noises upon the seam tracking precision and improve the seam tracking precision, a master-slave robot remote welding system was built and Kalman filtering (KF) was applied to the seam tracking process. The experimental results show that the KF eliminated the influence of noises upon the seam tracking precision and improved the seam tracking precision.

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