Robust Adaptive Control for Rejection of Uncertain Harmonic Vibration Disturbances

This study presents a robust adaptive vibration control strategy for mitigating uncertain harmonic disturbances. The proposed frequency adaptation algorithm enables the system to accurately track and converges to the fundamental frequency of the disturbance in steady-state conditions. Low-frequency components are effectively suppressed through a combination of adaptive control and real-time frequency adjustment, while high-frequency components are attenuated using a robust H<sub>∞</sub> control scheme. Both the feedback and adaptive controllers are designed using an optimization framework that combines linear matrix inequality (LMI) techniques with particle swarm optimization (PSO). The effectiveness of the proposed control approach is demonstrated through simulations on a track-following system of an optical disk drive.

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Publication Details

Journal
Transactions of the Korean Society for Noise and Vibration Engineering
Published
2025-08-20
DOI
https://doi.org/10.5050/ksnve.2025.35.4.424
Primary Topic
Control Systems in Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Robust Adaptive Control for Rejection of Uncertain Harmonic Vibration Disturbances

Moonnoh Lee
Transactions of the Korean Society for Noise and Vibration Engineering
Control Systems in Engineering
article

Robust Adaptive Control for Rejection of Uncertain Harmonic Vibration Disturbances

Moonnoh Lee
article en

Abstract

This study presents a robust adaptive vibration control strategy for mitigating uncertain harmonic disturbances. The proposed frequency adaptation algorithm enables the system to accurately track and converges to the fundamental frequency of the disturbance in steady-state conditions. Low-frequency components are effectively suppressed through a combination of adaptive control and real-time frequency adjustment, while high-frequency components are attenuated using a robust H<sub>∞</sub> control scheme. Both the feedback and adaptive controllers are designed using an optimization framework that combines linear matrix inequality (LMI) techniques with particle swarm optimization (PSO). The effectiveness of the proposed control approach is demonstrated through simulations on a track-following system of an optical disk drive.

Transactions of the Korean Society for Noise and Vibration EngineeringVol. 35(4)
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Control Systems in Engineering
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