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Central Pattern Generator Control for a Biomimetic Robot Fish in Maneuvering

机译:仿生机器鱼操纵中的中央模式发生器控制

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Fish has excellent maneuvering abilities in water, such as fast turning speed, small turning radius and large acceleration, which motivates researchers around the world to study its swimming mechanisms and create some biomimetic autonomous underwater vehicles (AUVs) for practical applications. In this paper, we observe the motion of one black carp in the length of 80mm and focus on one of its turning modes. Then, the turning pattern of this mode is characterized by four parameters, i.e., the amplitude, the frequency, the offset and the time ratio between two phases forming one cycle, i.e., the beat phase and the restore phase. Based on the fact fish swimming is produced by Central Pattern Generator (CPG), we propose a modified CPG model which can generate rhythmic signal matching the carp's turning pattern. Moreover, this CPG model is also capable for cruising and the transitions among different swimming modes, which really makes controlling of a robot fish convenient and improves its performance. Finally, experiments are conducted to examine the effectiveness of this control method.
机译:鱼在水中具有出色的机动性,例如快速的转弯速度,较小的转弯半径和较大的加速度,这激发了全世界的研究人员研究其游泳机理并创造出一些可仿生的自动水下航行器(AUV)的实际应用。在本文中,我们观察到一只黑鲤鱼在80毫米长的运动,并着眼于其转向方式之一。然后,该模式的转弯模式由四个参数表征,即振幅,频率,偏移和形成一个周期的两个相位之间的时间比,即拍频相位和恢复相位。基于中央模式发生器(CPG)产生鱼类游泳的事实,我们提出了一种改进的CPG模型,该模型可以生成与鲤鱼的转向模式匹配的有节奏的信号。此外,这种CPG模型还能够进行巡航以及在不同游泳模式之间进行转换,这确实使对机器人鱼的控制更加方便,并提高了其性能。最后,进行实验以检验这种控制方法的有效性。

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