Kinematic Modeling Framework for Biomimetic Undulatory Fin Motion Based on Coupled Nonlinear Oscillators

被引:28
|
作者
Zhou, Chunlin [1 ]
Low, K. H. [1 ]
机构
[1] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore, Singapore
关键词
FISH; DESIGN;
D O I
10.1109/IROS.2010.5651162
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The present work is motivated by the need to develop a generic method modeling the biomimetic undulatory motion for fish robots with long fin propulsors. Combined with mechanical design of long fins proposed in current literatures, we explore the application of coupled nonlinear oscillators in the modeling of swimming gaits and propose a kinematic modeling framework. Coupled nonlinear oscillators can also be regarded as models of artificial Central Pattern Generators (CPGs) for swimming gait control of fish robots. The advantages of this method over the normal sinusoidal functions based method are discussed. The synchronization of multiple oscillators is derived, which can be utilized for the coordination of multiple joints of fish robots and the online gait transition. The framework is applied and tested in swimming motion control of an eight-DOF undulatory fin prototype. The effectiveness of the control is shown through experiments.
引用
收藏
页码:934 / 939
页数:6
相关论文
共 50 条
  • [41] Reinforcement learning-based optimization of locomotion controller using multiple coupled CPG oscillators for elongated undulating fin propulsion
    Van Dong Nguyen
    Dinh Quoc Vo
    Van Tu Duong
    Huy Hung Nguyen
    Tan Tien Nguyen
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2022, 19 (01) : 738 - 758
  • [42] Bayesian framework for modeling diffusion processes with nonlinear drift based on nonlinear and incomplete observations
    Wu, Hao
    Noe, Frank
    [J]. PHYSICAL REVIEW E, 2011, 83 (03):
  • [43] Nonlinear Analysis of Coupled Duffing Oscillators Based on Variable Step-size Adomian Decomposition Method
    Chen, Chen
    Li, Pingkang
    Ping, Xiandeng
    [J]. MECHANICAL COMPONENTS AND CONTROL ENGINEERING III, 2014, 668-669 : 1182 - 1185
  • [44] Optimal synchronized control of nonlinear coupled harmonic oscillators based on actor-critic reinforcement learning
    Gu, Zhiyang
    Fan, Chengli
    Yu, Dengxiu
    Wang, Zhen
    [J]. NONLINEAR DYNAMICS, 2023, 111 (22) : 21051 - 21064
  • [45] A Velocity-Based LPV Modeling and Control Framework for Nonlinear Tracking
    Cai Guang-Bin
    Duan Guang-Ren
    Hu Chang-Hua
    [J]. PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 286 - 291
  • [46] NONLINEAR MODELING AND ANALYSIS OF DIFFERENTIAL INPUT DIFFERENTIAL OUTPUT AMPLIFIER BASED CANONIC RC OSCILLATORS
    KUMAR, U
    [J]. INTERNATIONAL JOURNAL OF ELECTRONICS, 1994, 76 (03) : 427 - 436
  • [47] Nonlinear Operation of Resonant Sensors Based On Weakly Coupled Resonators: Theory and Modeling
    Juillard, Jerome
    Mostafa, Ali
    Ferreira, Pietro Maris
    [J]. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2019, 66 (12) : 1950 - 1961
  • [48] Nonlinear damping effects in a simplified power grid model based on coupled Kuramoto-like oscillators with inertia
    Arinushkin, P. A.
    Vadivasova, T. E.
    [J]. CHAOS SOLITONS & FRACTALS, 2021, 152
  • [49] Real-time humanoid whole-body remote control framework for imitating human motion based on kinematic mapping and motion constraints
    Oh, Jaesung
    Lee, Inho
    Jeong, Hyobin
    Oh, Jun-Ho
    [J]. ADVANCED ROBOTICS, 2019, 33 (06) : 293 - 305
  • [50] Nonlinear optimization framework for image-based modeling on programmable graphics hardware
    Hillesland, KE
    Molinov, S
    Grzeszczuk, R
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2003, 22 (03): : 925 - 934