Evaluating the Fin-Ray Trajectory Tracking of Bio-Inspired Robotic Undulating Fins via an Experimental-Numerical Approach

In the past decade, biomimetic undulating fin propulsion has been one of the main topics considered by scientists and researchers in the field of robotic fish. This technology is inspired by the biological wave-like propulsion of ribbon-finned fish. The swimming modes have aquatic application potentials with greater manoeuvrability, less detectable noise or wake and better efficiency at low speeds. The present work concentrates on the evaluation of fin-ray trajectory tracking of biorobotic undulating fins at the levels of kinematics and hydrodynamics by using an experimental-numerical approach. Firstly, fin-ray tracking inconsistence between the desired and actual undulating trajectories is embodied with experimental data of the fin prototype. Next, the dynamics' nonlinearity is numerically and analytically unveiled by using the computational fluid dynamics (CFD) method, from the viewpoint of vortex shedding and the hydro-effect. The evaluation of fin-ray tracking performance creates a good basis for control design to improve the fin-ray undulation of prototypes.

[1]  Shuxiang Guo,et al.  A new type of fish-like underwater microrobot , 2003 .

[2]  Fangfang Liu,et al.  Hydrodynamics of an Undulating Fin for a Wave-Like Locomotion System Design , 2012, IEEE/ASME Transactions on Mechatronics.

[3]  Tianjiang Hu,et al.  Computational and experimental study on dynamic behavior of underwater robots propelled by bionic undulating fins , 2010 .

[4]  M. Brokate,et al.  Hysteresis and Phase Transitions , 1996 .

[5]  Tianjiang Hu,et al.  Effective motion control of the biomimetic undulating fin via iterative learning , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[6]  Yang Bai,et al.  Biomimetic and bio-inspired robotics in electric fish research , 2013, Journal of Experimental Biology.

[7]  R. Iyer,et al.  Control of hysteretic systems through inverse compensation , 2009, IEEE Control Systems.

[8]  M. A. MacIver,et al.  The hydrodynamics of ribbon-fin propulsion during impulsive motion , 2008, Journal of Experimental Biology.

[9]  Yong Li,et al.  Motion control of an electrostrictive actuator , 2004 .

[10]  Tianjiang Hu,et al.  Effective Phase Tracking for Bioinspired Undulations of Robotic Fish Models: A Learning Control Approach , 2014, IEEE/ASME Transactions on Mechatronics.

[11]  Victor V. Krylov,et al.  Experimental confirmation of the propulsion of marine vessels employing guided flexural waves in attached elastic fins , 2007 .

[12]  Yoseph Bar-Cohen,et al.  Biomimetics—using nature to inspire human innovation , 2006, Bioinspiration & biomimetics.

[13]  George V. Lauder,et al.  Bioinspiration from fish for smart material design and function , 2011 .

[14]  Shiwu Zhang,et al.  Computational research on modular undulating fin for biorobotic underwater propulsor , 2007 .

[15]  Ming Cong,et al.  Design Optimization of a Bidirectional Microswimming Robot Using Giant Magnetostrictive Thin Films , 2009, IEEE/ASME Transactions on Mechatronics.

[16]  Maurizio Porfiri,et al.  Free-Locomotion of Underwater Vehicles Actuated by Ionic Polymer Metal Composites , 2010, IEEE/ASME Transactions on Mechatronics.

[17]  Hiroshi Miki,et al.  Computational study on a squid-like underwater robot with two undulating side fins , 2011 .

[18]  Li Wen,et al.  Hydrodynamic Performance of an Undulatory Robot: Functional Roles of the Body and Caudal Fin Locomotion , 2013 .

[19]  G. Lauder,et al.  Fish Exploiting Vortices Decrease Muscle Activity , 2003, Science.

[20]  Wayne L. Neu,et al.  A biologically inspired artificial fish using flexible matrix composite actuators: analysis and experiment , 2010 .

[21]  Xiaobo Tan,et al.  Modeling of Biomimetic Robotic Fish Propelled by An Ionic Polymer–Metal Composite Caudal Fin , 2010, IEEE/ASME Transactions on Mechatronics.

[22]  John S. Baras,et al.  Modeling and control of hysteresis in magnetostrictive actuators , 2004, Autom..

[23]  Tianjiang Hu,et al.  Learning Control for Biomimetic Undulating Fins: An Experimental Study , 2010 .

[24]  M. Lighthill Aquatic animal propulsion of high hydromechanical efficiency , 1970, Journal of Fluid Mechanics.

[25]  I. Mayergoyz Mathematical models of hysteresis and their applications , 2003 .

[26]  Santosh Devasia,et al.  Feedback-Linearized Inverse Feedforward for Creep, Hysteresis, and Vibration Compensation in AFM Piezoactuators , 2007, IEEE Transactions on Control Systems Technology.

[27]  Tianjiang Hu,et al.  Biological inspirations, kinematics modeling, mechanism design and experiments on an undulating robotic fin inspired by Gymnarchus niloticus , 2009 .

[28]  T. Y. Wu Fish Swimming and Bird/Insect Flight , 2011 .

[29]  Xiaobo Tan,et al.  Modeling and control of hysteresis , 2009 .

[30]  K. H. Low,et al.  Biomimetic Motion Planning of an Undulating Robotic Fish Fin , 2006 .

[31]  M.A. MacIver,et al.  Designing future underwater vehicles: principles and mechanisms of the weakly electric fish , 2004, IEEE Journal of Oceanic Engineering.