A Control Interface for Autonomous Positioning of Magnetically Actuated Spheres Using an Artificial Neural Network Article Swipe
Victor Huynh
,
Basam Mutawak
,
Minh K. Quan
,
Elizabeth Ankrah
,
Pouya Kassaeiyan
,
I. Weinberg
,
Nathalia Peixoto
,
Qi Wei
,
Lamar O. Mair
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/robotics13030039
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/robotics13030039
Electromagnet arrays show significant potential in the untethered guidance of particles, devices, and eventually robots. However, complications in obtaining accurate models of electromagnetic fields pose challenges for precision control. Manipulation often requires the reduced-order modeling of physical systems, which may be computationally complex and may still not account for all possible system dynamics. Additionally, control schemes capable of being applied to electromagnet arrays of any configuration may significantly expand the usefulness of any control approach. In this study, we developed a data-driven approach to the magnetic control of a neodymium magnets (NdFeB magnetic sphere) using a simple, highly constrained magnetic actuation architecture. We developed and compared two regression-based schemes for controlling the NdFeB sphere in the workspace of a four-coil array of electromagnets. We obtained averaged submillimeter positional control (0.85 mm) of a NdFeB hard magnetic sphere in a 2D plane using a controller trained using a single-layer, five-input regression neural network with a single hidden layer.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/robotics13030039
- https://www.mdpi.com/2218-6581/13/3/39/pdf?version=1709110980
- OA Status
- gold
- Cited By
- 1
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392240477
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392240477Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/robotics13030039Digital Object Identifier
- Title
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A Control Interface for Autonomous Positioning of Magnetically Actuated Spheres Using an Artificial Neural NetworkWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-28Full publication date if available
- Authors
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Victor Huynh, Basam Mutawak, Minh K. Quan, Elizabeth Ankrah, Pouya Kassaeiyan, I. Weinberg, Nathalia Peixoto, Qi Wei, Lamar O. MairList of authors in order
- Landing page
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https://doi.org/10.3390/robotics13030039Publisher landing page
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https://www.mdpi.com/2218-6581/13/3/39/pdf?version=1709110980Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2218-6581/13/3/39/pdf?version=1709110980Direct OA link when available
- Concepts
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Artificial neural network, SPHERES, Interface (matter), Computer science, Engineering, Artificial intelligence, Control engineering, Aerospace engineering, Maximum bubble pressure method, Parallel computing, BubbleTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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