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Modeling of a carangiform-like robotic fish for both forward and backward swimming: Based on the fixed point

机译:用于向前和向后游泳的类香兰雀类机器人鱼的建模:基于固定点

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In this paper, a dynamic model is proposed for a carangiform-like robotic fish swimming both forwards and backwards. The robotic fish, which consists of a streamlined head, a flexible body and a caudal fin, is able to propel itself by generating a traveling propulsive wave traversing its body. We first modify the classical body wave function suggested by Lighthill to fit our robotic fish. Then we naturally define the point on fish's body which never undulates during swimming straight as “Fixed-point” and prove its existence and uniqueness. Using the property of the Fixed-point, we propose a model for our robotic fish and further investigate how the swimming speed is affected by the position of the unique Fixed-point. It is found that the robotic fish achieves its maximum speed of swimming forwards and backwards when the Fixed-point located on the head and the tail, respectively. Finally, we apply the proposed model combining with a CPG-based locomotion controller to the real robotic fish. Both simulations and experiments show that the proposed model is capable to predict the speed of the robotic fish.
机译:在本文中,提出了一种动态模型,用于向前和向后游动的像长腿形的机器人鱼。该机器人鱼由流线型的头部,柔性的身体和尾鳍组成,能够通过产生横越其身体的行进推进波来推动自身。我们首先修改Lighthill建议的经典体波函数以适合我们的机器鱼。然后,我们自然地将鱼的身体在游泳过程中一直不会起伏的点定义为“定点”,并证明其存在性和独特性。利用定点的属性,我们为机器鱼提出了一个模型,并进一步研究了游泳速度如何受唯一定点的位置影响。发现当固定点分别位于头部和尾部时,机器鱼达到了其最大的向前和向后游泳速度。最后,我们将提出的模型与基于CPG的运动控制器相结合,应用于实际的机器人鱼。仿真和实验均表明,所提出的模型能够预测机器人鱼的速度。

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