PDF(12098 KB)
Visual tracking control of a crawling robot for welding large structural components
Xiaobing FENG, Jun ZHENG, Shangxian YANG, Baiwa PAN
Journal of Tsinghua University(Science and Technology) ›› 2025, Vol. 65 ›› Issue (5) : 867-881.
PDF(12098 KB)
PDF(12098 KB)
Visual tracking control of a crawling robot for welding large structural components
Objective: Accurate weld seam recognition and automatic tracking control are crucial for ensuring the welding quality and operational efficiency of crawling robots. To achieve the efficient and automatic tracking of curved surface welds on large structural components, this work proposes a crawling robot bidirectional automatic tracking technology based on a single laser sensor and an adaptive weight welding gun cascade control method. Methods: A kinematic model was established for a crawling robot. The methods for estimating distance deviation between the laser system and the weld seam and correcting the angle between the robot and the weld seam were analyzed. By dynamically adjusting the position of the crawling robot with respect to the weld seam, the robot achieved bidirectional automatic tracking along the weld seam. Based on the welding process parameters and weld position information, the welding gun posture and end position were determined. The motion displacement value of the welding gun transmission joint was obtained by solving the inverse kinematics model of the actuator, and the joint motor was adjusted based on the motion displacement value for real-time welding gun calibration. Results: The influence of the distance between the laser system and the center of the robot on the straight weld path tracking was simulated and analyzed. Distances between 35 and 50 cm enabled rapid tracking of the weld seam by the laser system and center of the robot. The initial distance deviation had a small impact on the deviation between the laser system and the weld seam but has a significant impact on the angle correction between the robot and the weld seam. The stability conditions of the cascade control system were analyzed, and the bidirectional tracking performance of the robot along the weld seam was tested at the 5G and 6G welding positions. The distance deviation curve between the laser system and the weld seam during the tracking process and the angle correction curve between the robot and the weld seam were obtained. The distance deviation between the laser system and the weld seam was less than 2 cm, and the angle correction between the robot and the weld seam was approximately 1°. Conclusions: To ensure the stability of the cascade control system, the distance deviation between the laser system and the weld seam should be converted to the distance deviation of the robot tail for proportion integration differentiation (PID) input. The crawling robot motion control system satisfies the bidirectional automatic tracking along the weld seam in the 5G and 6G test scenarios, and the system has accurate welding gun positioning capability. Prealignment of the weld should be done before the welding operation of the crawling robot to further ensure operating stability.
large structural components / curved surface welds / crawling robot / single laser sensor / bidirectional automatic tracking
| 1 |
KARABEGOVIC'I, MIRZA R. Automation of the welding process by use of industrial robots[C]//New Technologies, Development and Application. Cham: Springer, 2019: 3-17.
|
| 2 |
XU Y L, LV N, FANG G, et al. Sensing technology for intelligentized robotic welding in arc welding processes[C]//Robotic Welding, Intelligence and Automation. Cham: Springer, 2015: 411-423.
|
| 3 |
闫玉龙, 杨立军, 冯嘉. 焊接机器人在钢结构制造中的研究与应用[J]. 自动化应用, 2024, 65 (11): 42-46, 51.
|
| 4 |
李文平. 智能焊接技术在机械制造中的应用探讨[J]. 科技与创新, 2024 (11): 52- 54.
|
| 5 |
常春梅. 机器人辅助的自动化机械加工焊接技术探究[J]. 现代工业经济和信息化, 2024, 14 (5): 104- 106.
|
| 6 |
端木希睿, 郑华栋, 刘晓丽, 等. 管道外壁爬行机器人设计与实验[J]. 机械设计与制造, 2023 (11): 194- 198.
|
| 7 |
肖俊阳. 磁吸附爬行焊接机器人机构设计与仿真[D]. 南昌: 南昌大学, 2023.
XIAO J Y. Mechanism design and simulation of crawling robot based on magnet adsorption[D]. Nanchang: Nanchang University, 2023. (in Chinese)
|
| 8 |
冯消冰, 王建军, 王永科, 等. 面向大型结构件爬行机器人智能焊接技术[J]. 清华大学学报(自然科学版), 2023, 63 (10): 1608- 1625.
|
| 9 |
王永科. 无轨导爬行焊接机器人在中小型碳钢储罐的焊接应用及效益评价[J]. 炼油技术与工程, 2022, 52 (8): 35-38, 45.
|
| 10 |
黄丞, 张海鸥, 卢华兵, 等. 面向大型零部件的焊接爬行机器人系统设计[J]. 湖北工业大学学报, 2018, 33 (2): 26- 29.
|
| 11 |
|
| 12 |
王天琪, 张树浩, 龙斌, 等. 中厚板多层多道焊视觉测量与工艺规划[J]. 天津工业大学学报, 2024, 43 (3): 75- 81.
|
| 13 |
魏晓鹏, 李芳, 杨旭, 等. 厚板多层多道机器人焊接分层规划方法[J]. 制造业自动化, 2024, 46 (5): 31- 35.
|
| 14 |
张旭. 厚板对接接头多层多道焊有限元模拟研究[J]. 焊接技术, 2023, 52 (10): 31- 34.
|
| 15 |
王强, 沈涛, 郭超. 中厚板多层多道焊接焊道尺寸与工艺参数相关性研究[J]. 机械工程与自动化, 2022 (5): 131- 133.
|
| 16 |
|
| 17 |
周海波, 蒋翔, 葛珅玮. 船舶焊接结构件的疲劳特性分析与结构设计[J]. 舰船科学技术, 2023, 45 (17): 186- 189.
|
| 18 |
韩力. 基于熔池尺寸信息的V型坡口多层多道焊接成形控制研究[D]. 天津: 天津工业大学, 2023.
HAN L. Study on the control of multi-layer multi-pass welding forming with V-bevel based on molten pool size information[D]. Tianjin: Tiangong University, 2023. (in Chinese)
|
| 19 |
鲍玲. 船舶中小组立弧线焊缝机器人焊接工艺数据库研究[D]. 镇江: 江苏科技大学, 2022.
BAO L. Research on welding process database of robot for curved seam welds by the sub-assembly and unit-assembly structures of ships[D]. Zhenjiang: Jiangsu University of Science and Technology, 2022. (in Chinese)
|
| 20 |
姚凯洵, 王树强. 机器人焊接技术在管道焊接中的应用现状[J]. 管道技术与设备, 2024 (1): 54- 57.
|
| 21 |
周金辉, 田锁杰, 周艺霖, 等. 大口径不锈钢管道陶瓷衬垫焊接技术[J]. 安装, 2024 (5): 68- 69.
|
| 22 |
|
| 23 |
|
| 24 |
周方明, 魏通达, 杨志东, 等. 弧焊机器人线激光传感器焊缝识别研究[J]. 江苏科技大学学报(自然科学版), 2022, 36 (4): 28- 32.
|
| 25 |
唐溪. 基于深度学习和线激光双目视觉的空间焊缝检测与跟踪[D]. 广州: 华南理工大学, 2022.
TANG X. Detection and tracking of spatial welding seam based on deep learning, binocular vision and line laser[D]. Guangzhou: South China University of Technology, 2022. (in Chinese)
|
| 26 |
褚兆琪. 激光焊接机器人焊缝跟踪系统设计[D]. 厦门: 厦门大学, 2022.
ZHU Z Q. Design of seam tracking system for laser welding robot[D]. Xiamen: Xiamen University, 2022. (in Chinese)
|
| 27 |
周跃龙. 基于激光视觉的焊缝检测与跟踪系统研究[D]. 广州: 广东工业大学, 2021.
ZHOU Y L. Research on weld seam detection and tracking System based on laser vision[D]. Guangzhou: Guangdong University of Technology, 2021. (in Chinese)
|
| 28 |
王浩, 赵小辉, 徐龙哲, 等. 结构光视觉辅助焊接的轨迹识别与控制技术[J]. 焊接学报, 2023, 44 (6): 50- 57.
|
| 29 |
原宗. 履带式爬行焊接机器人焊缝跟踪控制系统研究[D]. 武汉: 华中科技大学, 2008.
YUAN Z. Research on the seam tracking control system for crawl type welding robot[D]. Wuhan: Huazhong University of Science&Technology, 2008. (in Chinese)
|
| 30 |
HILL T W. Development and experimental validation of the kinematic and dynamic modeling of a tracked skid steer mobile robot[D]. Cookeville: Tennessee Technological University, 2013.
|
| 31 |
|
| 32 |
|
| 33 |
俞国庆, 王晓佳, 郜世杰, 等. 船舶复杂曲面爬行机器人自动焊接的关键技术研究[J]. 船电技术, 2018, 38 (10): 5- 9.
|
| 34 |
姚宇, 张秋菊, 陈宵燕, 等. 复杂空间曲面焊接机器人自动编程系统[J]. 焊接学报, 2023, 44 (5): 122- 128.
|
| 35 |
仲德平, 徐洪泽, 金晶波, 等. 基于RobotStudio的机器人曲面厚板焊接离线编程[J]. 焊接技术, 2018, 47 (1): 45- 49.
|
| 36 |
刘钊江, 马思乐, 戴昊飞, 等. 基于激光传感器的机器人自适应多层多道焊接[J]. 焊接, 2020 (8): 26- 32.
|
| 37 |
卢培文, 曾波华, 张卿. 基于自适应模糊控制的汽车焊接过程方法研究[J]. 机械工程师, 2024 (6): 47-50, 54.
|
| 38 |
冯消冰, 潘际銮, 高力生, 等. 爬行焊接机器人在球罐自动焊接中的应用[J]. 清华大学学报(自然科学版), 2021, 61 (10): 1132- 1143.
|
/
| 〈 |
|
〉 |