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The Effect of Resistive Forces in Variable Recruitment Fluidic Artificial Muscle Bundles: A Configuration Study

机译:可变补充流体人工肌肉束中阻力的影响:构型研究

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The use of soft, compliant actuators has recently gained research attention as a potential approach to improve human-robot interaction compatibility. Fluidic artificial muscles, or McKibben actuators, are a popular class of soft actuator due to their low cost and high force-to-weight ratio. However, traditional McKibben actuators face efficiency problems, as in most actuation schemes, the actuator is sized for the largest possible load, resulting in energy loss when operating at lower force regimes. To address this issue, our group has developed a bio-inspired actuation strategy called variable recruitment. In variable recruitment, actuators are placed within a bundle and can be sequentially activated depending on the required load. This strategy mimics the hierarchical architecture of mammalian muscle tissue and improves system efficiency and bandwidth while allowing for variable stiffness properties. Previous variable recruitment models and controllers assume that the force output of each actuator is independent and that these forces sum to provide the total bundle force. However, our recent work has shown that there is significant interaction between actuators within a bundle, particularly at lower recruitment states. This is because at these states, inactive or partially activated actuators resist bundle motion and reduce total force production. In this paper, we study these resistive effects at low recruitment states by considering two different variable recruitment configurations: a fixed-end configuration (with resistive forces) and a tendon configuration (designed with tendons to eliminate resistive forces). We then assess the tradeoffs between the two configurations. We found that while using the tendon configuration eliminates resistive forces, if we consider both configurations with the same overall system length, the tendon configuration has less overall system free strain because its FAMs have to be shorter than those of the fixed-end configuration. However, despite this difference in free strain, our results still show that the tendon configuration can have higher maximum load capacity and efficiency than the fixed-end configuration and that the specific application and system requirements will dictate the proper configuration choice.
机译:软性,柔性执行器的使用近来已引起研究关注,作为提高人机交互兼容性的一种潜在方法。流体人造肌肉或McKibben促动器由于其低成本和高力重比而成为一类流行的软促动器。但是,传统的McKibben执行器面临效率问题,因为在大多数执行方案中,执行器的尺寸设计为最大可能的负载,从而导致在较低的力状态下运行时能量损失。为了解决这个问题,我们小组开发了一种受生物启发的致动策略,称为可变募集。在可变募集中,执行器被放置在一个捆内,并可以根据所需的负载顺序激活。这种策略模仿了哺乳动物肌肉组织的层次结构,并在允许可变的刚度特性的同时提高了系统效率和带宽。先前的变量募集模型和控制器假定每个执行器的力输出是独立的,并且这些力相加以提供总束力。但是,我们最近的工作表明,束中的致动器之间存在显着的相互作用,尤其是在较低的征兵状态下。这是因为在这些状态下,未激活或部分激活的执行器会阻止管束运动并降低总力产生。在本文中,我们通过考虑两种不同的变量募集配置来研究在低募集状态下的这些电阻效应:固定端配置(具有抵抗力)和肌腱配置(具有消除抵抗力的肌腱设计)。然后,我们评估两种配置之间的权衡。我们发现,虽然使用腱配置消除了阻力,但如果我们考虑两种配置都具有相同的整体系统长度,则由于其FAM必须比固定端配置的FAM短,因此腱配置具有较小的整体系统自由应变。然而,尽管自由应变存在这种差异,我们的结果仍然表明,与固定端构型相比,肌腱构型可具有更高的最大承载能力和效率,并且特定的应用和系统要求将决定正确的构型选择。

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