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Mechatronic Device Control by Artificial Intelligence

Nowadays, artificial intelligence is used everywhere in the world and is becoming a key factor for innovation and progress in many areas of human life. From medicine to industry to consumer electronics, its influence is ever-expanding and permeates all aspects of our modern society. This article pre...

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Autores principales: Bohušík, Martin, Stenchlák, Vladimír, Císar, Miroslav, Bulej, Vladimír, Kuric, Ivan, Dodok, Tomáš, Bencel, Andrej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346984/
https://www.ncbi.nlm.nih.gov/pubmed/37447723
http://dx.doi.org/10.3390/s23135872
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author Bohušík, Martin
Stenchlák, Vladimír
Císar, Miroslav
Bulej, Vladimír
Kuric, Ivan
Dodok, Tomáš
Bencel, Andrej
author_facet Bohušík, Martin
Stenchlák, Vladimír
Císar, Miroslav
Bulej, Vladimír
Kuric, Ivan
Dodok, Tomáš
Bencel, Andrej
author_sort Bohušík, Martin
collection PubMed
description Nowadays, artificial intelligence is used everywhere in the world and is becoming a key factor for innovation and progress in many areas of human life. From medicine to industry to consumer electronics, its influence is ever-expanding and permeates all aspects of our modern society. This article presents the use of artificial intelligence (prediction) for the control of three motors used for effector control in a spherical parallel kinematic structure of a designed device. The kinematic model used was the “Agile eye” which can achieve high dynamics and has three degrees of freedom. A prototype of this device was designed and built, on which experiments were carried out in the framework of motor control. As the prototype was created through the means of the available equipment (3D printing and lathe), the clearances of the kinematic mechanism were made and then calibrated through prediction. The paper also presents a method for motor control calibration. On the one hand, using AI is an efficient way to achieve higher precision in positioning the optical axis of the effector. On the other hand, such calibration would be rendered unnecessary if the clearances and inaccuracies in the mechanism could be eliminated mechanically. The device was designed with imperfections such as clearances in mind so the effectiveness of the calibration could be tested and evaluated. The resulting control of the achieved movements of the axis of the device (effector) took place when obtaining the exact location of the tracked point. There are several methods for controlling the motors of mechatronic devices (e.g., Matlab-Simscape). This paper presents an experiment performed to verify the possibility of controlling the kinematic mechanism through neural networks and eliminating inaccuracies caused by imprecisely produced mechanical parts.
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spelling pubmed-103469842023-07-15 Mechatronic Device Control by Artificial Intelligence Bohušík, Martin Stenchlák, Vladimír Císar, Miroslav Bulej, Vladimír Kuric, Ivan Dodok, Tomáš Bencel, Andrej Sensors (Basel) Article Nowadays, artificial intelligence is used everywhere in the world and is becoming a key factor for innovation and progress in many areas of human life. From medicine to industry to consumer electronics, its influence is ever-expanding and permeates all aspects of our modern society. This article presents the use of artificial intelligence (prediction) for the control of three motors used for effector control in a spherical parallel kinematic structure of a designed device. The kinematic model used was the “Agile eye” which can achieve high dynamics and has three degrees of freedom. A prototype of this device was designed and built, on which experiments were carried out in the framework of motor control. As the prototype was created through the means of the available equipment (3D printing and lathe), the clearances of the kinematic mechanism were made and then calibrated through prediction. The paper also presents a method for motor control calibration. On the one hand, using AI is an efficient way to achieve higher precision in positioning the optical axis of the effector. On the other hand, such calibration would be rendered unnecessary if the clearances and inaccuracies in the mechanism could be eliminated mechanically. The device was designed with imperfections such as clearances in mind so the effectiveness of the calibration could be tested and evaluated. The resulting control of the achieved movements of the axis of the device (effector) took place when obtaining the exact location of the tracked point. There are several methods for controlling the motors of mechatronic devices (e.g., Matlab-Simscape). This paper presents an experiment performed to verify the possibility of controlling the kinematic mechanism through neural networks and eliminating inaccuracies caused by imprecisely produced mechanical parts. MDPI 2023-06-25 /pmc/articles/PMC10346984/ /pubmed/37447723 http://dx.doi.org/10.3390/s23135872 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
Bohušík, Martin
Stenchlák, Vladimír
Císar, Miroslav
Bulej, Vladimír
Kuric, Ivan
Dodok, Tomáš
Bencel, Andrej
Mechatronic Device Control by Artificial Intelligence
title Mechatronic Device Control by Artificial Intelligence
title_full Mechatronic Device Control by Artificial Intelligence
title_fullStr Mechatronic Device Control by Artificial Intelligence
title_full_unstemmed Mechatronic Device Control by Artificial Intelligence
title_short Mechatronic Device Control by Artificial Intelligence
title_sort mechatronic device control by artificial intelligence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346984/
https://www.ncbi.nlm.nih.gov/pubmed/37447723
http://dx.doi.org/10.3390/s23135872
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