Synchronisation through learning for two self-propelled swimmers

被引:131
作者
Novati, Guido [1 ]
Verma, Siddhartha [1 ]
Alexeev, Dmitry [1 ]
Rossinelli, Diego [1 ]
van Rees, Wim M. [1 ,2 ]
Koumoutsakos, Petros [1 ,3 ,4 ]
机构
[1] ETH, Computat Sci & Engn Lab, Clausiusstr 33, CH-8092 Zurich, Switzerland
[2] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
[3] Harvard Univ, Radcliffe Inst Adv Study, Cambridge, MA 02138 USA
[4] MIT, Cambridge, MA 02139 USA
基金
瑞士国家科学基金会; 欧洲研究理事会;
关键词
swimming; synchronisation; learning; hydrodynamics; TAIL BEAT FREQUENCY; FISH; SIMULATIONS; SCHOOL; HYDRODYNAMICS; OXYGEN; FLOW;
D O I
10.1088/1748-3190/aa6311
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The coordinated motion by multiple swimmers is a fundamental component in fish schooling. The flow field induced by the motion of each self-propelled swimmer implies non-linear hydrodynamic interactions among the members of a group. How do swimmers compensate for such hydrodynamic interactions in coordinated patterns? We provide an answer to this riddle though simulations of two, self-propelled, fish-like bodies that employ a learning algorithm to synchronise their swimming patterns. We distinguish between learned motion patterns and the commonly used a-priori specified movements, that are imposed on the swimmers without feedback from their hydrodynamic interactions. First, we demonstrate that two rigid bodies executing pre-specified motions, with an alternating leader and follower, can result in substantial drag-reduction and intermittent thrust generation. In turn, we study two self-propelled swimmers arranged in a leader-follower configuration, with a-priori specified body-deformations. These two self-propelled swimmers do not sustain their tandem configuration. The follower experiences either an increase or decrease in swimming speed, depending on the initial conditions, while the swimming of the leader remains largely unaffected. This indicates that a-priori specified patterns are not sufficient to sustain synchronised swimming. We then examine a tandem of swimmers where the leader has a steady gait and the follower learns to synchronize its motion, to overcome the forces induced by the leader's vortex wake. The follower employs reinforcement learning to adapt its swimming-kinematics so as to minimize its lateral deviations from the leader's path. Swimming in such a sustained synchronised tandem yields up to 30% reduction in energy expenditure for the follower, in addition to a 20% increase in its swimming-efficiency. The present results show that two self-propelled swimmers can be synchronised by adapting their motion patterns to compensate for flow-structure interactions. Moreover, swimmers can exploit the vortical structures of their flow field so that synchronised swimming is energetically beneficial.
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页数:11
相关论文
共 43 条
[1]   RISK OF PREDATION, HYDRODYNAMIC EFFICIENCY AND THEIR INFLUENCE ON SCHOOL STRUCTURE [J].
ABRAHAMS, MV ;
COLGAN, PW .
ENVIRONMENTAL BIOLOGY OF FISHES, 1985, 13 (03) :195-202
[2]   A kinematic model of Karman gaiting in rainbow trout [J].
Akanyeti, Otar ;
Liao, James C. .
JOURNAL OF EXPERIMENTAL BIOLOGY, 2013, 216 (24) :4666-4677
[3]   Hydrodynamic schooling of flapping swimmers [J].
Becker, Alexander D. ;
Masoud, Hassan ;
Newbolt, Joel W. ;
Shelley, Michael ;
Ristroph, Leif .
NATURE COMMUNICATIONS, 2015, 6
[4]   Modeling and simulation of fish-like swimming [J].
Bergmann, M. ;
Iollo, A. .
JOURNAL OF COMPUTATIONAL PHYSICS, 2011, 230 (02) :329-348
[5]   On the role of form and kinematics on the hydrodynamics of self-propelled body/caudal fin swimming [J].
Borazjani, I. ;
Sotiropoulos, F. .
JOURNAL OF EXPERIMENTAL BIOLOGY, 2010, 213 (01) :89-107
[6]   Numerical investigation of the hydrodynamics of carangiform swimming in the transitional and inertial flow regimes [J].
Borazjani, Iman ;
Sotiropoulos, Fotis .
JOURNAL OF EXPERIMENTAL BIOLOGY, 2008, 211 (10) :1541-1558
[7]  
BREDER C. M., 1965, ZOOLOGICA NEW YORK, V50, P97
[8]  
BROCK VERNON E., 1960, JOUR CONSEIL PERM INTERNATL EXPLOR MER, V25, P307
[9]   WHY DO FISH SCHOOL [J].
CUSHING, DH ;
JONES, FRH .
NATURE, 1968, 218 (5145) :918-&
[10]   Self-propelled swimming simulations of bio-inspired smart structures [J].
Daghooghi, Mohsen ;
Borazjani, Iman .
BIOINSPIRATION & BIOMIMETICS, 2016, 11 (05)