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Journal of Bionic Engineering

, Volume 16, Issue 2, pp 222–234 | Cite as

Central Pattern Generator (CPG) Control of a Biomimetic Robot Fish for Multimodal Swimming

  • Fengran Xie
  • Yong Zhong
  • Ruxu Du
  • Zheng LiEmail author
Article
  • 24 Downloads

Abstract

This paper introduces the design and control of a biomimetic robot fish for multimodal swimming. The biomimetic design consists of three parts: the rigid head, the wire-driven body and the compliant tail. The control is an improved Central Pattern Generator (CPG) with the high-level control command: (M, ω, B, R), where M is the amplitude, ω is the angular velocity, B is the offset and R is the time ratio between two phases forming one flapping cycle. This method differs from previous research in two aspects: (1) The CPG control is firstly implemented on the wire-driven robot fish. (2) The improved CPG model synthesizes symmetrical flapping in cruising and asymmetrical flapping in turning for the robot fish. The asymmetrical flapping refers to the asymmetry of the offset and the time ratio. This combination of the design and the control has several advantages over the existing multimodal swimming robot fishes. First, it uses just one driving motor for undulatory oscillation while the others need to use two or more motors. Second, with just one motor, the CPG control can be easily implemented. Third, the use of the time ratio, R, makes the robot fish turn more naturally and effectively. Experimental results show the robot fish achieved the maximum speed of 1.37 Body Length/Second (BL·s-1) and the largest turning rate of 457°/s. Additionally, in many swimming conditions, its Strouhal Number falls in the range from 0.2 to 0.4, which implies the robot fish is efficient.

Keywords

biomimetics robot fish Central Pattern Generator (CPG) multimodal swimming 

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Notes

Acknowledgement

The authors would like to thank Mr. David Hao Deng, Mr. Yuning Zhang for their help in the experiments. This work is supported by the Hong Kong General Research Grants (No. 14212316, No. 14207017, No. 14204417).

References

  1. [1]
    Triantafyllou M S, Triantafyllou G S. An efficient swimming machine. Scientific American, 1995, 272, 64–70.CrossRefGoogle Scholar
  2. [2]
    Kumph J M. Maneuvering of a Robotic Pike, PhD Thesis, Massachusetts Institute of Technology, Cambridge, MA, USA, 2000.Google Scholar
  3. [3]
    Harper K A, Berkemeier M D, Grace S. Modeling the dynamics of spring-driven oscillating-foil propulsion. IEEE Journal of Oceanic Engineering, 1998, 23, 285–296.CrossRefGoogle Scholar
  4. [4]
    Anderson J M, Chhabra N K. Maneuvering and stability performance of a robotic tuna. Integrative and Comparative Biology, 2002, 42, 118–126.CrossRefGoogle Scholar
  5. [5]
    Anderson J M, Kerrebrock P A. The vorticity control unmanned undersea vehicle (VCUUV)-An autonomous vehicle employing fish swimming propulsion and maneuvering. Proceedings of International Symposium on Unmanned Untethered Submersible Technology, New Hampshire, USA, 1999, 189–195.Google Scholar
  6. [6]
    Yu J, Ding R, Yang Q, Tan M, J. Zhang. Amphibious pattern design of a robotic fish with wheel-propeller-fin mechanisms. Journal of Field Robotics, 2013, 30, 702–716.CrossRefGoogle Scholar
  7. [7]
    Liu J, Hu H. Biological inspiration: From carangiform fish to multi-joint robotic fish. Journal of Bionic Engineering, 2010, 7, 35–48.CrossRefGoogle Scholar
  8. [8]
    Wang W, Dai X, Li L, Gheneti B H, Ding Y, Yu J-Z, Xie G-M. Three-dimensional modeling of a fin-actuated robotic fish with multimodal swimming. IEEE/ASME Transactions on Mechatronics, 2018, 23, 1641–1652.CrossRefGoogle Scholar
  9. [9]
    y Alvarado P V. Design of Biomimetic Compliant Devices for Locomotion in Liquid Environments, PhD Thesis, Massachusetts Institute of Technology, Cambridge, MA, USA, 2007.Google Scholar
  10. [10]
    Feilich K L, Lauder G V. Passive mechanical models of fish caudal fins: Effects of shape and stiffness on self-propulsion. Bioinspiration & Biomimetics, 2015, 10, https://doi.org/10.1088/1748-3190/10/3/036002.
  11. [11]
    Katzschmann R K, DelPreto J, MacCurdy R, Rus D. Exploration of underwater life with an acoustically controlled soft robotic fish. Science Robotics, 2018, 3, https://doi.org/10.1126/scirobotics.aar3449.
  12. [12]
    Du R, Li Z, Youcef-Toumi K, y Alvarado P V. Robot Fish: Bio-Inspired Fishlike Underwater Robots, Springer, New York, USA, 2015.CrossRefzbMATHGoogle Scholar
  13. [13]
    Li Z, Du R. Design and analysis of a biomimetic wire-driven flapping propeller. Proceedings of 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), Rome, Italy, 2012, 276–281.Google Scholar
  14. [14]
    Li Z, Gao W, Du R, Liao B. Design and analysis of a wire-driven robot tadpole. Proceedings of ASME 2012 International Mechanical Engineering Congress and Exposition, Houston, USA, 2012, 297–303.Google Scholar
  15. [15]
    Liao B, Li Z, Du R. Robot fish with a novel biomimetic wire-driven flapping propulsor. Advanced Robotics, 2014, 28, 339–349.CrossRefGoogle Scholar
  16. [16]
    Li Z, Du R, Zhang Y, Li H. Robot fish with novel wire-driven continuum flapping propulsor. Applied Mechanics and Materials, 2013, 300, 510–514.CrossRefGoogle Scholar
  17. [17]
    Liao B, Li Z, Du R. Robot tadpole with a novel biomimetic wire-driven propulsor. Proceedings of IEEE International Conference on Robotics and Biomimetics (ROBIO), Guangzhou, China, 2012, 557–562.Google Scholar
  18. [18]
    Zhong Y, Li Z, Du R. A novel robot fish with wire-driven active body and compliant tail. IEEE/ASME Transactions on Mechatronics, 2017, 22, 1633–1643.CrossRefGoogle Scholar
  19. [19]
    Zhong Y, Song J, Yu H, Du R. Toward a transform method from lighthill fish swimming model to biomimetic robot fish. IEEE Robotics and Automation Letters, 2018, 3, 2632–2639.CrossRefGoogle Scholar
  20. [20]
    Marder E, Bucher D. Central pattern generators and the control of rhythmic movements. Current Biology, 2001, 11, R986–R996.CrossRefGoogle Scholar
  21. [21]
    Crespi A, Lachat D, Pasquier A, Ijspeert A J. Controlling swimming and crawling in a fish robot using a central pattern generator. Autonomous Robots, 2008, 25, 3–13.CrossRefGoogle Scholar
  22. [22]
    Wang M, Yu J, Tan M, Zhang J. Multimodal swimming control of a robotic fish with pectoral fins using a CPG network. Chinese Science Bulletin, 2012, 57, 1209–1216.CrossRefGoogle Scholar
  23. [23]
    Yu J, Chen S, Wu Z, Chen X, Wang M. Energy analysis of a CPG-controlled miniature robotic fish. Journal of Bionic Engineering, 2018, 15, 260–269.CrossRefGoogle Scholar
  24. [24]
    Liu J, Hu H. Mimicry of sharp turning behaviours in a robotic fish. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), Barcelona, Spain, 2005, 3318–3323.Google Scholar
  25. [25]
    Su Z, Yu J, Tan M, Zhang J. Implementing flexible and fast turning maneuvers of a multijoint robotic fish. IEEE/ASME Transactions on Mechatronics, 2014, 19, 329–338.CrossRefGoogle Scholar
  26. [26]
    Lindsey C C. Form, function and locomotory habits in fish. Fish Physiology, Academic Press, New York, USA, 1978, 1–100.Google Scholar
  27. [27]
    Lighthill M J. Large-amplitude elongated-body theory of fish locomotion. Proceedings of the Royal Society of London. Series B: Biological Sciences, 1971, 179, 125–138.Google Scholar
  28. [28]
    Lighthill M J. Note on the swimming of slender fish. Journal of Fluid Mechanics, 1960, 9, 305–317.MathSciNetCrossRefGoogle Scholar
  29. [29]
    Ijspeert A J, Crespi A, Ryczko D, Cabelguen J. From swimming to walking with a salamander robot driven by a spinal cord model. Science, 2007, 315, 1416–1420.CrossRefGoogle Scholar
  30. [30]
    Ijspeert A J, Crespi A. Online trajectory generation in an amphibious snake robot using a lamprey-like central pattern generator model. Proceedings of IEEE International Conference on Robotics and Automation, Roma, Italy, 2007, 262–268.Google Scholar
  31. [31]
    Alexander R M. Principles of Animal Locomotion, Princeton University Press, Princeton, USA, 2003.CrossRefGoogle Scholar
  32. [32]
    Triantafyllou M S, Triantafyllou G S, Gopalkrishnan R. Wake mechanics for thrust generation in oscillating foils. Physics of Fluids A: Fluid Dynamics, 1991, 3, 2835–2837.CrossRefGoogle Scholar
  33. [33]
    Triantafyllou M S, Triantafyllou G S, Yue D. Hydrodynamics of fishlike swimming. Annual Review of Fluid Mechanics, 2000, 32, 33–53.MathSciNetCrossRefzbMATHGoogle Scholar
  34. [34]
    Yu J, Wu Z, Wang M, Tan M. CPG network optimization for a biomimetic robotic fish via PSO. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27, 1962–1968.MathSciNetCrossRefGoogle Scholar
  35. [35]
    Wu Z, Yu J, Tan M, Zhang J. Kinematic comparison of forward and backward swimming and maneuvering in a self-propelled sub-carangiform robotic fish. Journal of Bionic Engineering, 2014, 11, 199–212.CrossRefGoogle Scholar
  36. [36]
    Clapham R J, Hu H. iSplash: Realizing fast carangiform swimming to outperform a real fish. Robot Fish: Bio-inspired Fishlike Underwater Robots, Springer, New York, USA, 2015, 193–218.CrossRefGoogle Scholar
  37. [37]
    Zhang S, Qian Y, Liao P, Qin F, Yang J. Design and control of an agile robotic fish with integrative biomimetic mechanisms. IEEE/ASME Transactions on Mechatronics, 2016, 21, 1846–1857.CrossRefGoogle Scholar
  38. [38]
    Wen L, Liang J, Wu G, Li J. Hydrodynamic experimental investigation on efficient swimming of robotic fish using self-propelled method. International Journal of Offshore and Polar Engineering, 2010, 20, 167–174.Google Scholar
  39. [39]
    Wen L, Wang T, Wu G, Liang J. Quantitative thrust efficiency of a self-propulsive robotic fish: Experimental method and hydrodynamic investigation. IEEE/ASME Transactions on Mechatronics, 2013, 18, 1027–1038.CrossRefGoogle Scholar

Copyright information

© Jilin University 2019

Authors and Affiliations

  1. 1.Department of Mechanical and Automation EngineeringChinese University of Hong KongHong Kong SARChina
  2. 2.S. M. Wu School of Intelligent EngineeringSouth China University of TechnologyGuangzhou, GuangdongChina
  3. 3.Department of Surgery and the Chow Yuk Ho Technology Centre for Innovative MedicineChinese University of Hong KongHong Kong SARChina

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