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Optimally efficient swimming in hyper-redundant mechanisms: Control, design, and energy recovery

机译:超冗余机制中的最佳高效游泳:控制,设计和能量回收

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Hyper-redundant mechanisms (HRMs), also known as snake-like robots, are highly adaptable during locomotion on land. Researchers are currently working to extend their capabilities to aquatic environments through biomimetic undulatory propulsion. In addition to increasing the versatility of the system, truly biomimetic swimming could also provide excellent locomotion efficiency. Unfortunately, the complexity of the system precludes the development of a functional solution to achieve this. To explore this problem, a rapid optimization process is used to generate efficient HRM swimming gaits. The low computational cost of the approach allows for multiple optimizations over a broad range of system conditions. By observing how these conditions affect optimal kinematics, a number of new insights are developed regarding undulatory swimming in robotic systems. Two key conditions are varied within the study, swimming speed and energy recovery. It is found that the swimmer mimics the speed control behaviour of natural fish and that energy recovery drastically increases the system's efficiency. Remarkably, this efficiency increase is accompanied by a distinct change in swimming kinematics. With energy recovery, the swimmer converges to a clearly anguilliform gait, without, it tends towards the carangiform mode.
机译:超冗余机制(HRM),也称为蛇状机器人,在陆地移动过程中具有很高的适应性。研究人员目前正在努力通过仿生波动式推进将其功能扩展到水生环境。除了增加系统的多功能性之外,真正的仿生游泳还可以提供出色的运动效率。不幸的是,系统的复杂性阻碍了为实现这一目标而开发功能性解决方案。为了解决这个问题,使用快速优化过程来生成有效的HRM游泳步态。该方法的低计算成本允许在广泛的系统条件下进行多次优化。通过观察这些条件如何影响最佳运动学,就机器人系统中的波动游泳产生了许多新见解。研究中有两个关键条件,游泳速度和能量恢复。发现游泳者模仿天然鱼的速度控制行为,并且能量回收极大地提高了系统的效率。显着地,这种效率的提高伴随着游泳运动学的显着变化。随着能量的恢复,游泳者收敛到明显的弓形步态,而没有趋向于香兰格状模式。

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