Turning strategy of soft robot for T-branch pipes with small sizes

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  • School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China

Received date: 2021-11-28

  Online published: 2022-06-11

Abstract

Currently, new robotic technology is widely used in pipeline maintenance and inspection. Robots made of soft materials have been developed and used in pipeline inspection to overcome the limitations of rigid in-pipe robots and improve maneuverability. The turning control of soft robots in pipelines is a great challenge, owing to the various specifications and branches of pipelines. A soft robot for pipes with small diameters was developed in this study to solve this problem using a kinematic model. Based on this model, the flexible turning strategy of robots in T-branch pipes was established. Finally, the effectiveness and accuracy of the turning strategy were verified using experiments. The proposed turning strategy can effectively improve the mobility and intelligence of soft in-pipe robots in T-branch pipes.

Cite this article

YANG Yang, ZHAO Runhe, LI Tianbo, ZHAO Yongjian, QI Yuyan, ZHONG Songyi . Turning strategy of soft robot for T-branch pipes with small sizes[J]. Journal of Shanghai University, 2022 , 28(5) : 908 -920 . DOI: 10.12066/j.issn.1007-2861.2355

References

[1] Lopez J M, Sadovnychiy S. Small PIG for inspection pipeline[C]// Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007). 2007: 585-590.
[2] 李庆凯. 三轴差速式管道机器人驱动单元的设计与研究[D]. 哈尔滨: 哈尔滨工业大学, 2008.
[3] 高超, 付翔. 油气储运行业管道机器人发展现状与展望[J]. 化工管理, 2016 (18): 197.
[4] Song Z, Ren H, Zhang J, et al. Kinematic analysis and motion control of wheeled mobile robots in cylindrical workspaces[J]. IEEE Transactions on Automation Science and Engineering, 2015, 13(2): 1207-1214.
[5] Li P, Ma S, Li B, et al. Development of an adaptive mobile robot for in-pipe inspection task[C]// 2007 International Conference on Mechatronics and Automation. 2007: 3622-3627.
[6] 曹建树, 林立, 李杨, 等. 油气管道机器人技术研发进展[J]. 油气储运, 2013, 32(1): 1-7.
[7] Kuwada A, Tsujino K, Suzumori K, et al. Intelligent actuators realizing snake-like small robot for pipe inspection[C]// 2006 IEEE International Symposium on Micromechatronics and Human Science. 2006: 1-6.
[8] 朱卫平, 周楚健, 狄勤丰. 外加横向激励对固-铰支承管道流固耦合振动的影响[J]. 上海大学学报(自然科学版), 2016, 22(5): 597-605.
[9] He Q, Zhang Q. A flexible temperature sensing finger using optical fiber grating for soft robot application[J]. Optoelectronics Letters, 2021, 17(7): 400-406.
[10] Carvalho A, Navin K, Desai V. Design and characterization of a pneumatic muscle actuator with novel end-fittings for medical assistive applications[J]. Sensors and Actuators A: Physical, 2021, 331:112877.
[11] Harigaya K, Adachi K, Yanagida T, et al. Development of a peristaltic crawling robot for sewer pipe inspection[C]// 2013 IEEE International Conference on Mechatronics (ICM). 2013: 267-272.
[12] Calderón A A, Ugalde J C, Zagal J C, et al. Design, fabrication and control of a multi-material-multi-actuator soft robot inspired by burrowing worms[C]// 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO). 2016: 31-38.
[13] Zhang Z, Wang X, Wang S, et al. Design and modeling of a parallel-pipe-crawling pneumatic soft robot[J]. IEEE Access, 2019, 7: 134301-134317.
[14] Verma M S, Ainla A, Yang D, et al. A soft tube-climbing robot[J]. Soft Robotics, 2018, 5(2): 133-137.
[15] Zheng G. Control of a silicone soft tripod robot via uncertainty compensation[J]. IEEE Robotics and Automation Letters, 2020, 5(2): 2801-2807.
[16] Zheng G, Zhou Y, Ju M. Robust control of a silicone soft robot using neural networks[J]. ISA Transactions, 2020, 100: 38-45.
[17] Renda F, Boyer F, Dias J, et al. Discrete cosserat approach for multisection soft manipulator dynamics[J]. IEEE Transactions on Robotics, 2018, 34(6): 1518-1533.
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