학술논문

Dynamic Characterization and Phenomenological Modelling of Customizable Pneumatic Artificial Muscle
Document Type
Conference
Source
2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Electronics, Computing and Communication Technologies (CONECCT), 2021 IEEE International Conference on. :1-6 Jul, 2021
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Damping
Actuators
Computational modeling
Force
Dynamics
Muscles
Mathematical models
soft robotics
compliant actuators
pneumatic artificial muscle
phenomenological dynamic modelling
Language
ISSN
2766-2101
Abstract
Pneumatic Artificial Muscles (PAMs) are gaining popularity over traditional actuators in applications where the requirement are high force density, low mass, biological muscle like characteristics, etc,. Especially in applications related to Human Robot Interactions and wearable active devices, these actuators are considered much safe due to their light weight when compared to their commercial counterparts. However their usage are limited, due to their inherent nonlinearities, which poses challenges in their accurate force and position control. The article focuses on dynamic characterization of an in-house fabricated PAM using a three-element lumped phenomenological model. The model consists of a spring element, contractile force element and a damper element arranged in parallel. Pressure perturbation experiments have been conducted to identify the parameters in the governing equations for the spring coefficient, damping coefficient and the contractile element force. Finally, the developed model has been validated by reasonably predicting the displacement response of the PAM to a triangular pressure input pulse when subjected to a constant load on a dynamic test rig.