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Kinematic study and implementation of a bio-inspired robotic fish underwater vehicle in a Lighthill mathematical framework

机译:在Lighthill数学框架中生物启发的水下机器人水下航行器的运动学研究和实现

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This paper has focused on the formulation of the biological fish propulsion mechanism given by Sir J. Lighthill mathematical slender body theory for a bio-inspired robotic fish. A 2-joint, 3-link multibody vehicle model biologically inspired by a body caudal fin (BCF) carangiform fish propulsion is designed. The objective is to investigate and show that a machine mimicking real fish behavior can navigate efficiently over a given distance with a good balance of speed and maneuverability. The robotic fish model (kinematics and dynamics) is integrated with the Lighthill (LH) mathematical model framework. Different mathematical propulsive waveforms are combined with an inverse kinematics-based approach for generating fish body motion. Comparative studies are undertaken among a non-LH model, a LH model, and the proposed propulsive wave models based on a distance-based performance index. Proposed LH cubic and NURB quadratic functions are found to be 16.32% and 17.94% efficient than a non-LH function, respectively. With the help of the simulation results, closed-loop experiments are done and an operating region is established for critical kinematic parameters tail-beat frequency and propulsive wavelength. The simulation and experimental plots are compared and found to be similar to the kinematic behavior study of the biological yellowfin tuna.
机译:本文着重研究了J.Lighthill爵士给出的生物鱼类推进机制对生物启发性机器人鱼类的数学细长体理论的阐述。设计了一种2关节,3链接多体车辆模型,该模型受到了人体尾鳍(BCF)carangiform鱼推进器的生物学启发。目的是研究并表明,模仿真实鱼类行为的机器可以在给定的距离上高效地导航,并在速度和可操纵性之间取得良好的平衡。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。不同的数学推进波形与基于逆运动学的方法相结合以生成鱼体运动。在非LH模型,LH模型和基于距离性能指标的建议推进波模型之间进行了比较研究。发现拟议的LH三次函数和NURB二次函数的效率分别比非LH函数高16.32%和17.94%。借助仿真结果,进行了闭环实验,并为关键运动学参数尾部拍频和推进波长建立了工作区域。比较了模拟图和实验图,发现它们与生物黄鳍金枪鱼的运动学研究相似。

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