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SCIENCE CHINA Information Sciences, Volume 64 , Issue 1 : 112210(2021) https://doi.org/10.1007/s11432-019-2743-8

Line-of-sight based three-dimensional path following control for an underactuated robotic dolphin

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  • ReceivedSep 11, 2019
  • AcceptedDec 4, 2019
  • PublishedDec 22, 2020

Abstract

This paper investigates the three-dimensional (3-D) path following control problem for an underactuated robotic dolphin. With a comprehensive consideration of the mechanical constraint and swimming principle of the robotic dolphin, a decoupling motion strategy is proposed to produce yaw and pitch maneuvers simultaneously. Then, kinematics and dynamics models for 3-D dolphin-like swimming are established, followed by simulations of the path following control. Furthermore, a novel lookahead based 3-D line-of-sight (LOS) guidance law is developed and implemented to obtain desired attitude angles with its simplicity, intuitiveness, and small computational footprint. Finally, simulation results illustrate the feasibility and effectiveness of the proposed path following control methods.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant Nos. 61903007, 61633017, 61633004, 61725305, 61973007, U1909206), Pre-research Fund of Equipment of China (Grant No. 61402070304), Key Research and Development and Transformation Project of Qinghai Province (Grant No. 2017-GX-103), and Youth Innovation Science and Technology Plan of Shandong Province (Grant No. 2019KJN015).


References

[1] Yu J, Wu Z, Su Z. Motion Control Strategies for a Repetitive Leaping Robotic Dolphin. IEEE/ASME Trans Mechatron, 2019, 24: 913-923 CrossRef Google Scholar

[2] Yao P, Qi S B. Obstacle-avoiding path planning for multiple autonomous underwater vehicles with simultaneous arrival. Sci China Technol Sci, 2019, 62: 121-132 CrossRef Google Scholar

[3] Nakashima M, Tsubaki T, Ono K. Three-Dimensional Movement in Water of the Dolphin Robot - Control Between Two Positions by Roll and Pitch Combination -. J Robot Mechatron, 2006, 18: 347-355 CrossRef Google Scholar

[4] Wu Z, Yu J, Yuan J. Gliding Motion Regulation of a Robotic Dolphin Based on a Controllable Fluke. IEEE Trans Ind Electron, 2020, 67: 2945-2953 CrossRef Google Scholar

[5] Wu Z, Yu J, Yuan J. Towards a Gliding Robotic Dolphin: Design, Modeling, and Experiments. IEEE/ASME Trans Mechatron, 2019, 24: 260-270 CrossRef Google Scholar

[6] Wang J, Wu Z, Tan M. 3-D Path Planning With Multiple Motions for a Gliding Robotic Dolphin. IEEE Trans Syst Man Cybern Syst, 2019, : 1-12 CrossRef Google Scholar

[7] Yu J, Su Z, Wang M. Control of Yaw and Pitch Maneuvers of a Multilink Dolphin Robot. IEEE Trans Robot, 2012, 28: 318-329 CrossRef Google Scholar

[8] Shen F, Wei C M, Cao Z Q, et al. Implementation of a multi-link robotic dolphin with two 3-DOF flippers. J Comput Inform Syst, 2010, 7: 2601--2607. Google Scholar

[9] Wang Y L, Tai C H, Huang H R. Design and development of an autonomous underwater vehicle - robot dolphin. J Mar Eng Tech, 2015, 14: 44-55 CrossRef Google Scholar

[10] Yu J, Liu J, Wu Z. Depth Control of a Bioinspired Robotic Dolphin Based on Sliding-Mode Fuzzy Control Method. IEEE Trans Ind Electron, 2018, 65: 2429-2438 CrossRef Google Scholar

[11] Liu J, Wu Z, Yu J. Sliding mode fuzzy control-based path-following control for a dolphin robot. Sci China Inf Sci, 2018, 61: 024201 CrossRef Google Scholar

[12] Park S S. Design of three-dimensional path following guidance logic. Int J Aerosp Eng, 2018, 2018: 9235124. Google Scholar

[13] Zheng Z, Sun L, Xie L. Error-Constrained LOS Path Following of a Surface Vessel With Actuator Saturation and Faults. IEEE Trans Syst Man Cybern Syst, 2018, 48: 1794-1805 CrossRef Google Scholar

[14] Breivik M, Fossen T I. Path following for marine surface vessels. In: Proceedings of IEEE Techno-Ocean'04, 2004. 2282--2289. Google Scholar

[15] Wang Y, Tong H, Fu M. Line-of-sight guidance law for path following of amphibious hovercrafts with big and time-varying sideslip compensation. Ocean Eng, 2019, 172: 531-540 CrossRef Google Scholar

[16] Bai T, Wang D. Cooperative trajectory optimization for unmanned aerial vehicles in a combat environment. Sci China Inf Sci, 2019, 62: 010205 CrossRef Google Scholar

[17] Kelasidi E, Liljeback P, Pettersen K Y. Integral Line-of-Sight Guidance for Path Following Control of Underwater Snake Robots: Theory and Experiments. IEEE Trans Robot, 2017, 33: 610-628 CrossRef Google Scholar

[18] Caharija W, Pettersen K Y, Bibuli M. Integral Line-of-Sight Guidance and Control of Underactuated Marine Vehicles: Theory, Simulations, and Experiments. IEEE Trans Contr Syst Technol, 2016, 24: 1623-1642 CrossRef Google Scholar

[19] Lekkas A. Guidance and Path-planning Systems for Autonomous Vehicles. Norwegian University of Science and Technology, 2014. Google Scholar

[20] Zuo Z, Cheng L, Wang X. Three-Dimensional Path-Following Backstepping Control for an Underactuated Stratospheric Airship. IEEE Trans Aerosp Electron Syst, 2019, 55: 1483-1497 CrossRef ADS Google Scholar

[21] Breivik M, Fossen T I. Principles of guidance-based path following in 2D and 3D. In: Proceedings of IEEE International Conference on Decision Control, Seville, 2005. 627--634. Google Scholar

[22] Wang G X, Xu G H, Liu G, et al. Fuzzy iterative sliding mode control applied for path following of an autonomous underwater vehicle with large inertia. Math Probl Eng, 2019, 2019: 8650243. Google Scholar

[23] Liu J C, Wu Z X, Yu J Z, et al. Flippers-based turning analysis and implementation of a dolphin robot. In: Proceedings of IEEE International Conference on Robotics and Biomimetics, Macao, 2017. 141--146. Google Scholar

[24] Fossen T I. Handbook of Marine Craft Hydrodynamics and Motion Control. United Kingdom: John Wiley $\&$ Sons Ltd, 2011. Google Scholar

[25] Xiang X B, Yu C Y, Zhang Q. Robust fuzzy 3D path following for autonomous underwater vehicle subject to uncertainties. Comput Oper Res, 2017, 74: 165--177. Google Scholar

[26] Yu C Y, Xiang X B, Dai J R. 3D path following for underactuated AUV via nonlinear fuzzy controller. In: Proceedings of OCEANS 2016, Shanghai, 2016. 1--7. Google Scholar

[27] Breivik M, Fossen T I. Guidance Laws for Autonomous Underwater Vehicles. Rijeka: InTech, 2009. Google Scholar