首页> 外文期刊>The International journal of robotics research >Modeling and analysis of hydraulic piston actuation of McKibben fluidic artificial muscles for hand rehabilitation
【24h】

Modeling and analysis of hydraulic piston actuation of McKibben fluidic artificial muscles for hand rehabilitation

机译:Mckibben流体人工肌肉液压活塞致动的建模与分析手工康复

获取原文
获取原文并翻译 | 示例
           

摘要

Soft robotic actuators are well-suited for interactions with the human body, particularly in rehabilitation applications. The fluidic artificial muscle (FAM), specifically the McKibben FAM, is a type of soft robotic actuator that can be driven either pneumatically or hydraulically, and has potential for use in rehabilitation devices. The force applied by a FAM is well-described by a variety of models, the most common of which is based on the virtual work principle. However, the use of a piston assembly as a hydraulic power source for activation of FAMs has not previously been modeled in detail. This article presents a FAM designed to address the specific needs of a hand rehabilitation device. A syringe pump test bed is used to find and validate a novel volume-strain relationship. The volume-strain relationship remains constant with the coupled piston-FAM system, regardless of load. This confirms a bivariate approach to FAM control which is particularly beneficial in the exoskeleton application as the load varies throughout use. A novel, fixed-end cylindrical model is found to predict the strain of the FAM, given a volume input, regardless of load. For the FAMs tested in this work, the fixed-end cylindrical model improves strain prediction seven-fold when compared with traditional models.
机译:软机器人执行器非常适合与人体相互作用,特别是在康复应用中。流体人工肌肉(FAM),特别是McKibben FAM,是一种软机器人致动器,可以是气动或液压驱动的软机器人致动器,并且具有在康复装置中使用的可能性。由FAM施加的力是由各种模型熟悉的,最常见的是基于虚拟工作原理。然而,先前没有详细建模作为用于激活FAM的液压电源的活塞组件。本文介绍了一个旨在解决手工康复设备的特定需求的FAM。注射器泵试验床用于查找和验证新的体积应变关系。无论载荷如何,音量 - 应变关系保持恒定的耦合的活塞 - FAM系统。这证实了对FAM控制的双变量方法,其在官方应用中特别有益,因为负载在整个使用过程中变化时。发现一种新的固定端圆柱模型来预测FAM的应变,无论负载如何。对于在这项工作中测试的FAMS,与传统模型相比,固定端圆柱模型提高了七倍的应变预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号