Obstacle crossing and traction performance of active and passive screw pipeline robots

Pipelines are important tools for transporting fluids. The regular use of pipeline robots to inspect pipelines is an important safety measure. Passive and active screw pipeline robots have been developed and have various characteristics. In this work, the structure and driving method of screw pipeline robots were introduced. An obstacle crossing model of active and passive screw pipeline robots was established and compared using the developed screw pipeline robots. A traction model of the active and passive screw pipeline robots that considers lateral and longitudinal slip characteristics was obtained. Then, the proposed pipeline robot traction model with lateral and longitudinal slips was verified through experiments. A traction experiment on the active screw pipeline robot with improved contact confirmed that an increase in the adhesion coefficient and reduction in driving wheel slip can increase traction force.

[1]  Ming Li,et al.  Helical-contact Deformation Measuring method in Oil-gas pipelines , 2017, Int. J. Robotics Autom..

[2]  K. K. Botros,et al.  Field Validation of a Dynamic Model for an MFL ILI Tool in Gas Pipelines , 2010 .

[3]  Hyungpil Moon,et al.  Novel robot mechanism capable of 3D differential driving inside pipelines , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Akio Gofuku,et al.  Proposal of helical wave propagate motion for a snake robot to across a branch on a pipe , 2016, 2016 IEEE/SICE International Symposium on System Integration (SII).

[5]  Islam S. M. Khalil,et al.  Magnetic-based motion control of a helical robot using two synchronized rotating dipole fields , 2014, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics.

[6]  Yujia LI,et al.  Design and Analysis of an Active Helical Drive Downhole Tractor , 2017 .

[7]  Fumitoshi Matsuno,et al.  Modeling and Control of a Snake-Like Robot Using the Screw-Drive Mechanism , 2012, IEEE Transactions on Robotics.

[8]  Liu Qingyou,et al.  Basic characteristics of a novel in-pipe helical drive robot , 2014 .

[9]  Tao Feng,et al.  Machine learning in automotive industry , 2018 .

[10]  G. Chirikjian,et al.  A 3D Localization Approach for Subsea Pipelines Using a Spherical Detector , 2017, IEEE Sensors Journal.

[11]  Shugen Ma,et al.  Fuzzy theory based control method for an in-pipe robot to move in variable resistance environment , 2015 .

[12]  Zirong Luo,et al.  Development of a novel self-locking mechanism for continuous propulsion inchworm in-pipe robot , 2018 .

[13]  Zu Tao Zhang,et al.  Design, Modeling and Simulation for Obstacle Crossing Robot Based on In-Wheel Motor , 2014 .

[14]  Ying Wang,et al.  Design and analysis of tracked robot with differential mechanism , 2018, 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[15]  Sung-Ho Cho,et al.  Inspection of Unpiggable Natural Gas Pipelines Using In-Pipe Robot , 2016 .

[16]  Hyouk Ryeol Choi,et al.  Novel Mechanism for In-Pipe Robot Based on a Multiaxial Differential Gear Mechanism , 2017, IEEE/ASME Transactions on Mechatronics.

[17]  Seung Hun Kim,et al.  Weaving Laser Vision System for Navigation of Mobile Robots in Pipeline Structures , 2018, IEEE Sensors Journal.

[18]  Lei Zhang,et al.  Analysis of traveling-capability and obstacle-climbing capability for radially adjustable tracked pipeline robot , 2016, 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[19]  Bin Li,et al.  Design of spring parameters for a screw drive in-pipe robot based on energy consumption model , 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

[20]  Wim-Paul Breugem,et al.  Development of speed controlled pigging for low pressure pipelines , 2017 .

[21]  Wenming Wang,et al.  Experimental study on dynamics of rotatable bypass-valve in speed control pig in gas pipeline , 2014 .