Remote-laser welding system with in-line adaptive 3D seam tracking and power control

Kos, Matjaž; Arko, Erih; Kosler, Hubert; Jezeršek, Matija

doi:10.1016/j.procir.2019.03.290

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…Classical deviation control structures (e.g., PID, Fuzzy, Fuzzy-PID) could also be used to adjust the welding gun to the correct welding position after obtaining the real-time deviation of the welding gun through the image processing algorithm, but the traditional deviation control structures were more complex and suitable for lower welding speeds. For this reason, this research utilized the structured light vision sensor to scan the joint, obtained the three-dimensional coordinate data stream of center points in real-time during welding, and enabled the gun to track these actual welding points; this tracking welding control [ 27 ] method was not only simple in structure, but also had a fast response time.…”

Section: Structured Light Vision Welding Systemmentioning

confidence: 99%

Research on Trajectory Recognition and Control Technology of Real-Time Tracking Welding

Zhao

Zhang

Wang

et al. 2022

Sensors

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Real-time tracking welding with the assistance of structured light vision enhances the intelligence of robotic welding, which significantly shortens teaching time and guarantees accuracy for user-customized product welding. However, the robustness of most image processing algorithms is deficient during welding practice, and the security regime for tracking welding is not considered in most trajectory recognition and control algorithms. For these two problems, an adaptive feature extraction algorithm was proposed, which can accurately extract the seam center from the continuous, discontinuous or fluctuating laser stripes identified and located by the CNN model, while the prior model can quickly remove a large amount of noise and interference except the stripes, greatly improving the extraction accuracy and processing speed of the algorithm. Additionally, the embedded Pauta criterion was used to segmentally process the center point data stream and to cyclically eliminate outliers and further ensure the accuracy of the welding reference point. Experimental results showed that under the guarantee of the above-mentioned seam center point extraction and correction algorithms, the tracking average error was 0.1 mm, and even if abnormal trajectory points existed, they did not cause welding torch shaking, system interruption or other accidents.

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Section: Structured Light Vision Welding Systemmentioning

confidence: 99%