A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm
Traditionally, successive approximation method is applied to the vibration-level adjustment of vibration calibration system, which leads to a time-consuming work for low-frequency vibration calibration. In this paper, a novel control method for low-frequency vibration calibration system is proposed...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2020-03-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294019881727 |
| _version_ | 1811205819459436544 |
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| author | Chao Li Zhangwei Chen |
| author_facet | Chao Li Zhangwei Chen |
| author_sort | Chao Li |
| collection | DOAJ |
| description | Traditionally, successive approximation method is applied to the vibration-level adjustment of vibration calibration system, which leads to a time-consuming work for low-frequency vibration calibration. In this paper, a novel control method for low-frequency vibration calibration system is proposed based on adaptive filter. First, the problem of the traditional vibration-level adjustment for low-frequency signals is depicted. Then, an adaptive control algorithm is presented, in which the control input is composed of two weighted sinusoidal signals with a phase difference of 90°. The weighted vector is updated in real time using a modified filtered-x least mean square algorithm. Unlike filtered-x least mean square algorithm, the proposed modified filtered-x least mean square algorithm does not require a pre-identification of the controlled system and has a reduced computational complexity. The convergence property of the proposed method is analyzed in detail. Finally, the proposed method is implemented on a low-frequency vibration calibration system. Experimental results show that the proposed modified filtered-x least mean square algorithm can significantly reduce the time of the vibration-level adjustment in low-frequency band. |
| first_indexed | 2024-04-12T03:37:30Z |
| format | Article |
| id | doaj.art-400c3d359fa449e4b63fd0afaa8c640f |
| institution | Directory Open Access Journal |
| issn | 0020-2940 |
| language | English |
| last_indexed | 2024-04-12T03:37:30Z |
| publishDate | 2020-03-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj.art-400c3d359fa449e4b63fd0afaa8c640f2022-12-22T03:49:22ZengSAGE PublishingMeasurement + Control0020-29402020-03-015310.1177/0020294019881727A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithmChao LiZhangwei ChenTraditionally, successive approximation method is applied to the vibration-level adjustment of vibration calibration system, which leads to a time-consuming work for low-frequency vibration calibration. In this paper, a novel control method for low-frequency vibration calibration system is proposed based on adaptive filter. First, the problem of the traditional vibration-level adjustment for low-frequency signals is depicted. Then, an adaptive control algorithm is presented, in which the control input is composed of two weighted sinusoidal signals with a phase difference of 90°. The weighted vector is updated in real time using a modified filtered-x least mean square algorithm. Unlike filtered-x least mean square algorithm, the proposed modified filtered-x least mean square algorithm does not require a pre-identification of the controlled system and has a reduced computational complexity. The convergence property of the proposed method is analyzed in detail. Finally, the proposed method is implemented on a low-frequency vibration calibration system. Experimental results show that the proposed modified filtered-x least mean square algorithm can significantly reduce the time of the vibration-level adjustment in low-frequency band.https://doi.org/10.1177/0020294019881727 |
| spellingShingle | Chao Li Zhangwei Chen A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm Measurement + Control |
| title | A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm |
| title_full | A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm |
| title_fullStr | A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm |
| title_full_unstemmed | A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm |
| title_short | A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm |
| title_sort | fast vibration level adjustment method for low frequency vibration calibration based on modified filtered x least mean square algorithm |
| url | https://doi.org/10.1177/0020294019881727 |
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