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Research on a Variable Pressure Driving Method for Soft Robots Based on the Electromagnetic Effect

This study proposes a novel variable air pressure supply structure based on the electromagnetic effect. This structure can be implemented in various soft robots driven by air pressure, including pneumatic artificial muscles, pneumatic soft grippers, and other soft robots. The structure’s main body c...

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Detalles Bibliográficos
Autores principales: Zhang, Zhongyuan, Zhang, Lei, Guan, Mingjing, Zhang, Shuai, Jiao, Tengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385017/
https://www.ncbi.nlm.nih.gov/pubmed/37514635
http://dx.doi.org/10.3390/s23146341
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author Zhang, Zhongyuan
Zhang, Lei
Guan, Mingjing
Zhang, Shuai
Jiao, Tengfei
author_facet Zhang, Zhongyuan
Zhang, Lei
Guan, Mingjing
Zhang, Shuai
Jiao, Tengfei
author_sort Zhang, Zhongyuan
collection PubMed
description This study proposes a novel variable air pressure supply structure based on the electromagnetic effect. This structure can be implemented in various soft robots driven by air pressure, including pneumatic artificial muscles, pneumatic soft grippers, and other soft robots. The structure’s main body comprises a hollow circular tube, a magnetic piston arranged in the tube, and an electromagnetic solenoid nested outside the tube. The electromagnetic solenoid is designed with special winding and power supply access modes, generating either an attractive force or a repulsive force on the magnetic piston. This solenoid conforms with the magnetic piston expectation in the tube by changing the polarity direction. The interior of the whole structure is a closed space. The gas is conveyed to the soft robot by the gas guide hoses at the two ends of the structure, and the expansion energy of the compressed gas is fully utilized. Then, the gas supply pressure is controlled to drive the robot. The mathematical model of the structure is established based on the analysis of the electromagnetic force and gas pressure on the piston. The simulation results show that the structure’s inherent vibration characteristics under various parameters align with expectations. The real-time automatic optimization of the controller parameters is realized by optimizing the incremental proportional-integral-derivative (PID) controller based on a neural network. The simulation results show that the structure can meet the application requirements. The experimental results show that the proposed gas supply structure can provide a continuous pressure supply curve with any frequency in a specific amplitude range and has an excellent tracking effect on the sinusoidal-like pressure curve.
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spelling pubmed-103850172023-07-30 Research on a Variable Pressure Driving Method for Soft Robots Based on the Electromagnetic Effect Zhang, Zhongyuan Zhang, Lei Guan, Mingjing Zhang, Shuai Jiao, Tengfei Sensors (Basel) Article This study proposes a novel variable air pressure supply structure based on the electromagnetic effect. This structure can be implemented in various soft robots driven by air pressure, including pneumatic artificial muscles, pneumatic soft grippers, and other soft robots. The structure’s main body comprises a hollow circular tube, a magnetic piston arranged in the tube, and an electromagnetic solenoid nested outside the tube. The electromagnetic solenoid is designed with special winding and power supply access modes, generating either an attractive force or a repulsive force on the magnetic piston. This solenoid conforms with the magnetic piston expectation in the tube by changing the polarity direction. The interior of the whole structure is a closed space. The gas is conveyed to the soft robot by the gas guide hoses at the two ends of the structure, and the expansion energy of the compressed gas is fully utilized. Then, the gas supply pressure is controlled to drive the robot. The mathematical model of the structure is established based on the analysis of the electromagnetic force and gas pressure on the piston. The simulation results show that the structure’s inherent vibration characteristics under various parameters align with expectations. The real-time automatic optimization of the controller parameters is realized by optimizing the incremental proportional-integral-derivative (PID) controller based on a neural network. The simulation results show that the structure can meet the application requirements. The experimental results show that the proposed gas supply structure can provide a continuous pressure supply curve with any frequency in a specific amplitude range and has an excellent tracking effect on the sinusoidal-like pressure curve. MDPI 2023-07-12 /pmc/articles/PMC10385017/ /pubmed/37514635 http://dx.doi.org/10.3390/s23146341 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Zhongyuan
Zhang, Lei
Guan, Mingjing
Zhang, Shuai
Jiao, Tengfei
Research on a Variable Pressure Driving Method for Soft Robots Based on the Electromagnetic Effect
title Research on a Variable Pressure Driving Method for Soft Robots Based on the Electromagnetic Effect
title_full Research on a Variable Pressure Driving Method for Soft Robots Based on the Electromagnetic Effect
title_fullStr Research on a Variable Pressure Driving Method for Soft Robots Based on the Electromagnetic Effect
title_full_unstemmed Research on a Variable Pressure Driving Method for Soft Robots Based on the Electromagnetic Effect
title_short Research on a Variable Pressure Driving Method for Soft Robots Based on the Electromagnetic Effect
title_sort research on a variable pressure driving method for soft robots based on the electromagnetic effect
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385017/
https://www.ncbi.nlm.nih.gov/pubmed/37514635
http://dx.doi.org/10.3390/s23146341
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