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

机译:基于Lighthill细长人体模型的仿生机器人鱼水下航行器的运动学研究与实现

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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.
机译:J. Lighthill爵士数学细长体游泳模型阐述了流体环境中生物鱼类的推进机制(波动)。目前的研究集中在基于Lighthill(LH)的仿生机器人推进器的相关性上。本文的目的是模仿BCF模式carangiform游泳风格的推进机制,以显示鱼类行为以令人印象深刻的速度有效地长距离航行,并表现出非凡的特性。鱼的机器人模型(运动学和动力学)与Lighthill(LH)数学模型框架集成在一起。在基于LH模型的模型和基于非LH模型的模型之间进行了比较研究。在此框架下,研究了不同参数的综合推进机制,即尾拍频率(TBF),推进波长和尾振幅。还对水下机器人鱼车的偏航角进行了研究,因为它描述了机器人鱼车的航向。结合了基于反向运动学的方法来生成机器人鱼车运动的轨迹。针对给定的轨迹,对这些影响车辆运动学研究的关键参数进行了分析,而相对于真实的鱼运动学研究[8]。发现TBF是在较宽的运行条件下车辆前进速度的有效控制参数。还显示和讨论了推进波长和幅度变化的性能和比较结果。

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