Kinematics study and implementation of a biomimetic robotic-fish underwater vehicle based on Lighthill slender body model

A. Roy Chowdhury, B. Prasad, V. Vishwanathan, R. Kumar, S. K. Panda
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引用次数: 13

Abstract

Sir J. Lighthill mathematical slender body swimming model formulates the biological fish propulsion mechanism (undulation) in fluid environment. The present research has focused on the relevance of Lighthill (LH) based biomimetic robotic propulsion. The objective of this paper is to mimic the propulsion mechanism of the BCF mode carangiform swimming style to show the fish behavior navigating efficiently over large distances at impressive speeds and its exceptional characteristics. The robotic fish model (kinematics and dynamics) is integrated with the Lighthill (LH) mathematical model framework. Comparative studies are undertaken between a LH model based and a non-LH based model. A comprehensive propulsion mechanism study of the different parameters namely the tail-beat frequency (TBF), the propulsive wavelength, and the caudal amplitude are studied under this framework. Yaw angle study for the underwater robotic fish vehicle is also carried out as it describes the course of the robotic fish vehicle. Inverse kinematics based approach is incorporated for trajectory generation of the robotic fish vehicle motion. Analysis of these critical parameters affecting the kinematics study of the vehicle vis a vis the real fish kinematic study [8] is carried out for a given trajectory. TBF is found to be the effective controlling parameter for the forward speed of the vehicle over a wide operating conditions. Performances and comparative results of propulsive wavelength and amplitude variations are also shown and discussed.
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基于Lighthill细长体模型的仿生机器鱼水下航行器运动学研究与实现
Sir J. Lighthill细长体游泳数学模型阐述了生物鱼类在流体环境中的推进机制(波动)。目前的研究主要集中在基于Lighthill (LH)的仿生机器人推进的相关性上。本文的目的是模拟BCF模式矢状游泳风格的推进机制,以展示鱼类以令人印象深刻的速度在远距离上有效导航的行为及其独特的特征。机器鱼模型(运动学和动力学)与Lighthill (LH)数学模型框架相结合。在基于LH模型和非基于LH模型之间进行了比较研究。在此框架下对不同参数即尾拍频率(TBF)、推进波长和尾幅进行了全面的推进机理研究。由于偏航角描述了水下机器鱼航行器的航行过程,因此对其进行了偏航角研究。采用基于逆运动学的方法生成鱼机器人运动轨迹。针对给定轨迹,对影响飞行器运动学研究的关键参数与实鱼运动学研究[8]进行了对比分析。结果表明,在较宽工况下,TBF是车辆前进速度的有效控制参数。对推进波长和振幅变化的性能和比较结果也进行了展示和讨论。
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