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Design and motion control of an under-actuated snake arm maintainer

Published online by Cambridge University Press:  29 September 2021

Guodong Qin
Affiliation:
Institute of Bio-inspired Structure and Surface Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China
Aihong Ji*
Affiliation:
Institute of Bio-inspired Structure and Surface Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China
Yong Cheng
Affiliation:
Institute of Plasma Physics, Chinese Academy of Science, Hefei, China
Wenlong Zhao
Affiliation:
Institute of Plasma Physics, Chinese Academy of Science, Hefei, China
Hongtao Pan
Affiliation:
Institute of Plasma Physics, Chinese Academy of Science, Hefei, China
Shanshuang Shi
Affiliation:
Institute of Plasma Physics, Chinese Academy of Science, Hefei, China
Yuntao Song
Affiliation:
Institute of Plasma Physics, Chinese Academy of Science, Hefei, China
*
*Corresponding author. E-mail: [email protected]

Abstract

This study presents an under-actuated snake arm maintainer (SAM) for complex and extreme environments such as nuclear power plants. The structure adopts the layered cable drive principle, whereby a single drive layer drives multiple joints. This design significantly reduces the complexity of the control system while increasing the spatial curvature. The traction of multiple wire ropes with a composite capstan drives the synchronous angular motion of several adjacent joints. By changing the number of joints in the single driver layer of the snake arm, the arm can be adapted to various complex environments. The trajectory planning and trajectory tracking motion control methods of the under-actuated SAM are established based on the improved backbone method and the variable rod length algorithm. Finally, a 10-joint prototype with an arm length of 2300 mm is designed for nuclear reactor maintenance. Trajectory experiments confirmed the rationality of the under-actuated SAM, the correctness of the inverse kinematics, and the effectiveness of the motion control methods.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Chirikjian, G. S. and Burdick, J. W., “Hyper-Redundant Robot Mechanisms and their Applications,” In: Intelligent Robots and Systems’ 91. ’Intelligence for Mechanical Systems, Proceedings IROS’91. IEEE/RSJ International Workshop on, IEEE (1991) pp. 185–190.Google Scholar
Runciman, M., Darzi, A. and Mylonas, G. P., “Soft robotics in minimally invasive surgery,” Soft Rob. 6(4), 423−443 (2019).Google ScholarPubMed
Bing, L., Zang, H., Chen, M., Wang, Y., Lang, X., Zhu, N., Yang, Z. and Yi, Y., “Soft Rod-climbing robot inspired by winding locomotion of snake,” Soft Rob. 7(4), 500−511 (2019).Google Scholar
Palmer, D., S. Cobos-Guzman and D Axinte, “Real-time method for tip following navigation of continuum snake arm robots,” Robot. Auton. Syst. 62(10), 1478−1485 (2014).Google Scholar
Nemitz, M. P., Mihaylov, P., Barraclough, T. W., Ross, D. and Stokes, A. A., “Using voice coils to actuate modular soft robots: Wormbot, an example,” Soft Rob. 3(4), 198−204 (2016).Google ScholarPubMed
Buckingham, R. and Graham, A., “Nuclear snake-arm robots,” Ind Rob. 39(1), 6−11 (2012).CrossRefGoogle Scholar
Song, Y., Wu, S., Wan, Y., Li, J., Ye, M., Zheng, J., Yong, C., Zhao, W. and Wei, J., “Concept design on RH maintenance of CFETR Tokamak reactor,” Fusion Eng Des. 89(9–10), 2331−2335 (2014).CrossRefGoogle Scholar
Armada, M. A., Buckingham, R. and Graham, A., “Snaking around in a nuclear jungle,” Ind Rob. 32(2), 120−127 (2005).Google Scholar
Buckingham, R., “Snake arm robots,” Ind Rob. 29(3), 242−245 (2002).CrossRefGoogle Scholar
Ming, L., Agheli, M. and Onal, C. D., “Theoretical modeling and experimental analysis of a pressure-operated Soft Robotic Snake,” Soft Rob. 1(2), 136−146 (2014).Google Scholar
Li, J., Liu, L., Liu, Y. and Leng, J., “Dielectric elastomer spring-roll bending actuators: Applications in Soft Robotics and design,” Soft Rob. 6(1), 69−81 (2018).Google ScholarPubMed
He, J., Liu, R., Wang, K. and Hua, S., “The Mechanical Design of Snake-arm Robot,” In: IEEE 10th International Conference on Industrial Informatics. (2012) pp. 758–761.Google Scholar
Palmer, D. and Axinte, D., “Active uncoiling and feeding of a continuum arm robot,” Rob. Cim-Int Manuf. 56, 107116 (2019).CrossRefGoogle Scholar
Dong, X., Axinte, D., Palmer, D., Cobos, S., Raffles, M., Rabani, A. and Kell, J., “Development of a slender continuum robotic system for on-wing inspection/repair of gas turbine engines,” Rob. Cim-Int Manuf. 44, 218229 (2017).CrossRefGoogle Scholar
Hannan, M. W. and Walker, I. D., “Kinematics and the implementation of an elephant’s Trunk manipulator and other continuum style robots,” J Rob. Syst. 20(2), 4563 (2003).CrossRefGoogle ScholarPubMed
Seraji, H., “Configuration control of redundant manipulators: Theory and implementation,” IEEE Rob. Autom. Lett. 5(4), 472490 (1989).CrossRefGoogle Scholar
Tenreiro, M. J. A. and António, M. L., “A fractional perspective on the trajectory control of redundant and hyper-redundant robot manipulators,” Appl. Math. Model. 46(1), 716−726 (2017).Google Scholar
Omisore, M. O., Han, S., Ren, L., Zhang, N. and Lei, W., “Non-iterative geometric approach for inverse kinematics of redundant lead-module in a radiosurgical snake-like robot,” BioMed Eng. OnLine. 16(1), 125 (2017).CrossRefGoogle Scholar
Xidias, E. K., “Time-optimal trajectory planning for hyper-redundant manipulators in 3D workspaces,” Rob. Cim-Int Manuf. 50, 286298 (2018).CrossRefGoogle Scholar
Yin, F., Wang, Y. and Yang, Y., “Inverse kinematics solution for robot manipulator based on neural network under joint subspace,” Int. J. Comput. Commun. 7(3), 459−472 (2012).Google Scholar
Yahya, S., Moghavvemi, M. and Mohamed, H. A. F., “Geometrical approach of planar hyper-redundant manipulators: Inverse kinematics, path planning and workspace,” Simul. Model Pract. Theory 19(1), 406−422 (2011).CrossRefGoogle Scholar
Chirikjian, G. S. and Burdick, J. W., “An Obstacle Avoidance Algorithm for Hyper-redundant Manipulators,” In: Proceedings of the IEEE International Conference on Robotics and Automation (1990) pp. 625–631.Google Scholar
Chirikjian, G. S. and Burdick, J. W., “A modal approach to hyper-redundant manipulator kinematics,” IEEE Trans. Rob. Autom. 10(3), 343354 (1994).CrossRefGoogle Scholar
Fahimi, F., Ashrafiuon, H. and Nataraj, C., “Obstacle avoidance for spatial hyper-redundant manipulators using harmonic potential functions and the mode shape technique,” J. Rob. Syst. 20(1), 23−33 (2003).CrossRefGoogle Scholar
Fahimi, F., Ashrafiuon, H. and Nataraj, C., “An improved inverse kinematic and velocity solution for spatial hyper-redundant robots,” Rob. Autom. IEEE Trans. 18(1), 103−107 (2002).CrossRefGoogle Scholar
Song, S., Li, Z., Meng, Q. H., Yu, H. and Ren, H., “Real-time shape estimation for wire-driven flexible robots with multiple bending sections based on quadratic BÉzier curves,” IEEE Sens. J. 15(11), 63266334 (2015).CrossRefGoogle Scholar
Xu, W., Mu, Z., Liu, T. and Liang, B., “A modified modal method for solving the mission-oriented inverse kinematics of hyper-redundant space manipulators for on-orbit servicing,” Acta Astronaut. 139(10), 54−66 (2017).CrossRefGoogle Scholar
Mu, Z., Yu, H. an, , Xu, W., Liu, T. and Liang, B., “A segmented geometry method for kinematics and configuration planning of spatial hyper-redundant manipulators,” IEEE Trans. Syst. Man. Cybern. Syst. 50(5), 111 (2018).Google Scholar
Langer, M., Amanov, E. and Burgner, K. J., “Stiffening sheaths for continuum robots,” Soft Rob. 60, 113 (2018).Google Scholar
Talas, S. K., Baydere, B. A. and Altinsoy, T., “Design and development of a growing pneumatic Soft Robot,” Soft Rob. 7(4), 1−13 (2019).Google Scholar
William, M. and Walker, I. D., “Octopus-inspired Grasp-synergies for Continuum Manipulators,” In: 2008 IEEE International Conference on Robotics and Biomimetics (2009) pp. 945–950.Google Scholar
Bowman, F., Introduction to Bessel Functions, Dover Books on Mathematics (Dover, New York, 2012).Google Scholar
Qin, G., Ji, A., Cheng, Y., Zhao, W., Pan, H., Shi, S. and Song, Y., “Position error compensation of the multi-purpose overload robot in nuclear power plants,” Nucl. Eng. Technol. 2−6, 112 (2021).Google Scholar