Vibration Suppression for Active Magnetic Bearings Using Adaptive Filter with Iterative Search Algorithm Article Swipe
Jin-Hui Ye
,
Dan Shi
,
Yue-Sheng Qi
,
Jinhui Gao
,
Jian‐Xin Shen
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.30941/cestems.2024.00007
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.30941/cestems.2024.00007
Active Magnetic Bearing (AMB) is a kind of electromagnetic support that makes the rotor movement frictionless and can suppress rotor vibration by controlling the magnetic force. The most common approach to restrain the rotor vibration in AMBs is to adopt a notch filter or adaptive filter in the AMB controller. However, these methods cannot obtain the precise amplitude and phase of the compensation current. Thus, they are not so effective in terms of suppressing the vibrations of the fundamental and other harmonic orders over the whole speed range. To improve the vibration suppression performance of AMBs, an adaptive filter based on Least Mean Square (LMS) is applied to extract the vibration signals from the rotor displacement signal. An Iterative Search Algorithm (ISA) is proposed in this paper to obtain the corresponding relationship between the compensation current and vibration signals. The ISA is responsible for searching the compensating amplitude and shifting phase online for the LMS filter, enabling the AMB controller to generate the corresponding compensation force for vibration suppression. The results of ISA are recorded to suppress vibration using the Look-Up Table (LUT) in variable speed range. Comprehensive simulations and experimental validations are carried out in fixed and variable speed range, and the results demonstrate that by employing the ISA, vibrations of the fundamental and other harmonic orders are suppressed effectively.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.30941/cestems.2024.00007
- https://ieeexplore.ieee.org/ielx7/7873789/10488425/10488439.pdf
- OA Status
- diamond
- Cited By
- 4
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393405142
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- OpenAlex ID
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https://openalex.org/W4393405142Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.30941/cestems.2024.00007Digital Object Identifier
- Title
-
Vibration Suppression for Active Magnetic Bearings Using Adaptive Filter with Iterative Search AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-01Full publication date if available
- Authors
-
Jin-Hui Ye, Dan Shi, Yue-Sheng Qi, Jinhui Gao, Jian‐Xin ShenList of authors in order
- Landing page
-
https://doi.org/10.30941/cestems.2024.00007Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/7873789/10488425/10488439.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/7873789/10488425/10488439.pdfDirect OA link when available
- Concepts
-
Magnetic bearing, Vibration, Adaptive filter, Control theory (sociology), Algorithm, Computer science, Filter (signal processing), Kernel adaptive filter, Iterative method, Acoustics, Filter design, Physics, Engineering, Artificial intelligence, Computer vision, Mechanical engineering, Control (management), MagnetTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1Per-year citation counts (last 5 years)
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27Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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