24Jan 2018

A FUZZY ALGORITHM FOR THE C-SHAPE TURNING OF BIOMIMETIC ROBOTIC FISH.

  • School of Mechanical and Electrical Engineering, Hohai University, Nanjing 210098, China.
  • School of Energy and Electrical, Hohai University, Nanjing 210098, China.
  • School of Computer and Information, Hohai University, Nanjing 210098, China.
  • Abstract
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The swimming maneuverability of a robotic fish depends on the performance of its sharp turning ability including C-shape and S-shape turning. In this paper, we optimize the control of C-shape turning, by using a fuzzy logic control algorithm in which the angular velocity of each robot joint is tuned. Compared with traditional control algorithms, the proposed algorithm can adjust the fish joint turning angle timely to overcome the inertia problem which causes an excessive turning radius. The experimental results with real robotic fish have shown that the turning gesture of the robot is more fluent and the swimming trajectory is smoother with the proposed method.


  1. Vo T Q, Kim H S, Lee B R. A study on turning motion control of a 3-joint fish robot using sliding mode based controllers. International Conference on Control Automation and Systems. IEEE, 2010:1556-1561.
  2. Liu J, Hu H. Biological Inspiration: From Carangiform Fish to Multi-Joint Robotic Fish. Journal of Bionic Engineering, 2010, 7(1):35-48.
  3. Domenici P, Blake R W. The kinematics and performance of flsh fast-start swimming. Journal of Experimental Biology, 1997, 200: 1165-1178.
  4. Westneat M W, Hale M E, Mchenry M J, Long J H. Mechanics of the fast-start: muscle function and the role of intramuscular pressure in the escape behavior of Amia calva and Polypterus palmas. Journal of Experimental Biology, 1998, 201(Pt 22): 3041-3055.
  5. Hale M E. S- and C-start escape responses of the muskellunge (Esox masquinongy) require alternative neuromotor mechanisms. Journal of Experimental Biology, 2002, 205(Pt14): 2005-2016.
  6. Canfield J G. Some voluntary C-bends may be Mauthner neuron initiated. Journal of Comparative Physiology A, 2007, 193(10):1055-1064.
  7. Weiss S A, Zottoli S J, Do S C, et al. Correlation of C-start behaviors with neural activity recorded from the hindbrain in free-swimming goldfish (Carassius auratus). Journal of Experimental Biology, 2006, 209(23):4788-4801.
  8. Domenici P, Blake R W. The effect of size on the kinematics and performance of angelfish. Canadian Journal of Zoology, 1993, 71(71):2319-2326.
  9. Clapham R J, Hu H. iSplash-I: High performance swimming motion of a carangiform robotic fish with full-body coordination. IEEE International Conference on Robotics and Automation. IEEE, 2014:322-327.
  10. Hu Wenrong. Fish one-way maneuvering characteristics of two-dimensional flow numerical research. Nanjing university of aeronautics and astronautics. PhD thesis. 2003.
  11. Yu J Z, Liu L Z, Wang L, Tan M, Xu D. Turning control of a multilink biomimetic robotic flsh. IEEE Transactions on Robotics, 2008, 24(1): 201-206
  12. Deng X, D. Jiang, J. Wang, M. Li and Q. Chen. Study on the 3D printed robotic fish with autonomous obstacle avoidance behavior based on the adaptive neuro-fuzzy control. IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, Yokohama, 2015, pp. 000007-000012.
  13. Verma, J. X. Xu, Q. Ren, Wee Beng Tay and Feng Lin. A comparison of robotic fish speed control based on analytical and empirical models. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, 2016, pp. 6055-6060.
  14. Wang; D. Gu; G. Xie. Autonomous Optimization of Swimming Gait in a Fish Robot with Multiple Onboard Sensors. in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.PP, no.99, pp.1-13
  15. doi: 10.1109/TSMC.2017.2683524
  16. Kevin Nelson, Kamran Mohseni. An Artificial Lateral Line Composed of Modular Pressure Sensor Blocks.
  17. 2017 IEEE International Conference on Robotics and Automatio Received September 15, 2016.
  18. Yu J, Wang S, Min T. A simplified propulsive model of biomimetic robot fish and its realization. Robotica, 2005, 23(1):101-107.
  19. Liu J, Hu H. Mimicry of Sharp Turning Behaviours in a Robotic Fish. IEEE International Conference on Robotics and Automation. IEEE, 2005:3318-3323.
  20. Quan Xiao, Feng Kong and Jin Tao. Research on point-to-point of Biomimetic Robot-fish based on fuzzy control. 2011 International Conference on Electric Information and Control Engineering, Wuhan, 2011, pp. 1652-1655.
  21. Liu and Z. Guo. Hydrodynamic performance study on a flexible caudal fin. 2016 IEEE International Conference on Mechatronics and Automation, Harbin, 2016, pp. 618-622.15.

[Baodong Lou, Yujie Ni, Minghe Mao, Ping Wang and Jiangtao Liu. (2018); A FUZZY ALGORITHM FOR THE C-SHAPE TURNING OF BIOMIMETIC ROBOTIC FISH. Int. J. of Adv. Res. 6 (Jan). 1502-1511] (ISSN 2320-5407). www.journalijar.com


Minghe Mao
School of Computer and Information, Hohai University

DOI:


Article DOI: 10.21474/IJAR01/6380      
DOI URL: https://dx.doi.org/10.21474/IJAR01/6380