Adaptive Vibration Suppression Control for Direct-Drive Flexible Manipulators Based on PMSM Self-Sensing

In flexible manipulator systems driven directly by permanent magnet synchronous motors (PMSM), residual vibration following servo positioning has a detrimental effect on the precision and efficiency of industrial operations. This study proposes an adaptive vibration suppression control strategy based on PMSM self-sensing, which is founded upon the dynamics model of direct-drive flexible manipulators. This strategy permits the estimation of vibration frequency and damping coefficient without the necessity for supplementary vibration sensors and fast Fourier transform (FFT). The parameters of the input shaper are dynamically adjusted by means of adaptive frequency and damping coefficient identification. Simulation results verify the effectiveness of the proposed control method.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/scems63294.2024.10756459
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Adaptive Vibration Suppression Control for Direct-Drive Flexible Manipulators Based on PMSM Self-Sensing

Dan Shi, Jian‐Xin Shen, Z.L. Huang, Yunchong Wang
Industrial Technology and Control Systems
article

Adaptive Vibration Suppression Control for Direct-Drive Flexible Manipulators Based on PMSM Self-Sensing

Dan Shi, Jian‐Xin Shen, Z.L. Huang, Yunchong Wang
article en

Abstract

In flexible manipulator systems driven directly by permanent magnet synchronous motors (PMSM), residual vibration following servo positioning has a detrimental effect on the precision and efficiency of industrial operations. This study proposes an adaptive vibration suppression control strategy based on PMSM self-sensing, which is founded upon the dynamics model of direct-drive flexible manipulators. This strategy permits the estimation of vibration frequency and damping coefficient without the necessity for supplementary vibration sensors and fast Fourier transform (FFT). The parameters of the input shaper are dynamically adjusted by means of adaptive frequency and damping coefficient identification. Simulation results verify the effectiveness of the proposed control method.

Zhejiang University (CN)
Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 75%
Industrial Technology and Control Systems
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