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Pressure Control of a Pneumatic Artificial Muscle Including Pneumatic Circuit Model
- Source :
- IEEE Access, Vol 8, Pp 60526-60538 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Various applications using pneumatic artificial muscles (PAMs) have been developed in recent years. When the pressure of the PAM is controlled, it is desirable to position a pressure sensor at the control port of a servo valve through a pipeline for improvement in usability, environment resistance, and elimination of mechanical complexity. However, the responsiveness of the pressure control worsens due to the volume and pressure losses through the pipeline. In this paper, we propose a pneumatic circuit model to compensate for such losses through the pipeline and a method to estimate the pressure at the PAM inlet. The proposed method improves the responsiveness of the pressure control by positioning a pressure sensor at the control port of the servo valve. We developed an experimental apparatus that simulates the mechanism of our power assist robot, and it was used for performance evaluation experiments of the conventional and proposed pressure control methods. When a sinusoidal pressure target value with a frequency of 1.5 Hz and load mass of 8 kg was fed as input, the errors between the measured and target values in the conventional and proposed control were approximately 45 and 20 kPa, respectively. The reduced error confirmed that the responsiveness of the pressure control was improved by the proposed method.
- Subjects :
- geography
geography.geographical_feature_category
General Computer Science
Computer science
Pressure control
Pipeline (computing)
General Engineering
pneumatic control
Inlet
Pressure sensor
Electrohydraulic servo valve
pneumatic circuit model
pneumatic artificial muscle
Pneumatic artificial muscles
Volume (thermodynamics)
Control theory
power assist robot
Pipeline
Robot
General Materials Science
Artificial muscle
Pneumatic circuit
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:TK1-9971
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....2d136cf8b2b6391dcc914200985c725e