Multi-input Multi-output fxLMS Algorithm for Active Vibration Control of Structures Subjected to Non-resonant Excitation

Shin, Ji-Hwan; Jung, Woo‐Jin; Bae, Soo-Ryong; Lee, Sang‐Kyu; Kwak, Moon Kyu

doi:10.5050/ksnve.2018.28.3.330

Cited by 3 publications

(1 citation statement)

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“…In addition, when faced with large and complex controlled structures, the single-channel controller has certain limitations. e multichannel FxLMS controller can be designed based on the variable step size LMS algorithm [30,31], while considering the control channel coupling phenomenon to further optimize the structure of variable step size FxLMS controller to be applied to actual engineering structures.…”

Section: Resultsmentioning

confidence: 99%

Error Signal Differential Term Feedback Enhanced Variable Step Size FxLMS Algorithm for Piezoelectric Active Vibration Control

Wang

et al. 2020

Shock and Vibration

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FxLMS (Filtered-x Least Mean Square) algorithm is widely used in the field of AVC (active vibration control) for its good convergence and strong adaptability. However, the convergence rate and steady-state error are mutually restricted for the fixed step FxLMS algorithm. Increasing step size μ to accelerate the convergence rate will result in larger steady-state error and even cause control divergence. In this paper, a new DVSFxLMS (error signal Differential term feedback Variable Step size FxLMS) algorithm is proposed by establishing nonlinear function between μ and error signal, while using differential term of the error signal as the feedback control function. Subsequently, a DVSFxLMS controller is designed to carry out the AVC simulation and experiments on cantilever beam with PSA (piezoelectric stack actuator). Simulation and experimental results show that the proposed DVSFxLMS algorithm has faster convergence rate and smaller steady-state error than the traditional FxLMS algorithm, which also has strong antinoise ability and adaptive control ability to quickly track the variable external disturbance.

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Section: Resultsmentioning

confidence: 99%