Literature DB >> 27354755

Pneumatic Variable Series Elastic Actuator.

Hao Zheng1, Molei Wu1, Xiangrong Shen1.   

Abstract

Inspired by human motor control theory, stiffness control is highly effective in manipulation and human-interactive tasks. The implementation of stiffness control in robotic systems, however, has largely been limited to closed-loop control, and suffers from multiple issues such as limited frequency range, potential instability, and lack of contribution to energy efficiency. Variable-stiffness actuator represents a better solution, but the current designs are complex, heavy, and bulky. The approach in this paper seeks to address these issues by using pneumatic actuator as a variable series elastic actuator (VSEA), leveraging the compressibility of the working fluid. In this work, a pneumatic actuator is modeled as an elastic element with controllable stiffness and equilibrium point, both of which are functions of air masses in the two chambers. As such, for the implementation of stiffness control in a robotic system, the desired stiffness/equilibrium point can be converted to the desired chamber air masses, and a predictive pressure control approach is developed to control the timing of valve switching to obtain the desired air mass while minimizing control action. Experimental results showed that the new approach in this paper requires less expensive hardware (on-off valve instead of proportional valve), causes less control action in implementation, and provides good control performance by leveraging the inherent dynamics of the actuator.

Entities:  

Year:  2016        PMID: 27354755      PMCID: PMC4913207          DOI: 10.1115/1.4033620

Source DB:  PubMed          Journal:  J Dyn Syst Meas Control        ISSN: 0022-0434            Impact factor:   1.372


  5 in total

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Authors:  Frank Sup; Amit Bohara; Michael Goldfarb
Journal:  Int J Rob Res       Date:  2008-02-01       Impact factor: 4.703

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3.  Design and Control of a Pneumatically Actuated Transtibial Prosthesis.

Authors:  Hao Zheng; Xiangrong Shen
Journal:  J Bionic Eng       Date:  2015-04       Impact factor: 2.682

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Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

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Journal:  Annu Rev Physiol       Date:  1982       Impact factor: 19.318

  5 in total

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