Abstract
Filtered-x Least Mean Square (FxLMS) algorithm is a meaningful adaptation algorithm used in the field of Active Vibration Control (AVC). Hybrid FxLMS algorithm, which is the combination of the feedforward structure and the feedback structure of FxLMS, has a better stability and could get the same performance with a lower filter order. In order to get a faster convergence speed, this paper adopts Normalized LMS (NLMS) algorithm to replace of LMS algorithm in the hybrid AVC system. To verify the Hybrid Fx-NLMS algorithm, this paper developed a simulation platform for active vibration control of a flexible beam with piezoelectric stack actuator using ADAMS and MATLAB SIMULINK. Simulation results show that the convergence speed and vibration suppression performance of the Hybrid Fx-NLMS algorithm are better than other traditional algorithms.
X. Zhu—This work is supported by National Natural Science Foundation (NNSF) of China under Grant 51575328, 61503232. Mechatronics Engineering Innovation Group project from Shanghai Education Commission and Shanghai Key Laboratory of Power Station Automation Technology.
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Fang, Y., Zhu, X., Liu, H., Gao, Z. (2017). Hybrid Fx-NLMS Algorithm for Active Vibration Control of Flexible Beam with Piezoelectric Stack Actuator. In: Fei, M., Ma, S., Li, X., Sun, X., Jia, L., Su, Z. (eds) Advanced Computational Methods in Life System Modeling and Simulation. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 761. Springer, Singapore. https://doi.org/10.1007/978-981-10-6370-1_27
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DOI: https://doi.org/10.1007/978-981-10-6370-1_27
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