Microvibration isolation by adaptive feedforward control with asymmetric hysteresis compensation

•An improved FxNLMS algorithm is implemented to isolate microvibration.•The proposed algorithm is applied on a magnetostrictive vibration isolator.•Based on conventional FxNLMS, the asymmetric hysteresis is compensated.•The hysteresis is compensated by a polynomial-cascaded PI model.•The proposed al...

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Veröffentlicht in:Mechanical systems and signal processing 2019-01, Vol.114, p.644-657
Hauptverfasser: Yi, Sicheng, Yang, Bintang, Meng, Guang
Format: Artikel
Sprache:eng
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Zusammenfassung:•An improved FxNLMS algorithm is implemented to isolate microvibration.•The proposed algorithm is applied on a magnetostrictive vibration isolator.•Based on conventional FxNLMS, the asymmetric hysteresis is compensated.•The hysteresis is compensated by a polynomial-cascaded PI model.•The proposed algorithm can experimentally enhance vibration isolation performance. This paper proposes an improved adaptive filtered-x normalized least-mean-square (FxNLMS) algorithm to achieve active microvibration isolation. Physically, microvibration disturbance is attenuated by a custom-developed magnetostrictive-actuated device. Whereas, magnetostrictive materials characterize hysteresis. Particularly, when the amplitude of the input current is large, the hysteresis loop describes strong asymmetry and nonlinearity. To avoid this phenomenon, in some studies, the actuators are limited to move over a small range, and thus the potential range of the isolated microvibration is restrictive. Then Jiles-Atherton model and Bouc-Wen model are utilized to compensate hysteresis, however these models are non-analytical with certain approximation. In order to compensate hysteresis more accurately, Preisach model, a popular operator-based model, is presented. However, due to the double integrals in this model, the hysteresis identification and inversion process is complicated. Therefore, we reduce hysteresis based on a modified Prandtl-Ishlinskii (PI) model which is more simple but effective. This model utilizes the polynomial operators to describe hysteresis asymmetry and nonlinearity. The inverse hysteresis is then applied to compensate the magnetostrictive-induced hysteresis and to alleviate microvibration combining with the conventional FxNLMS algorithm. An experimental setup is fabricated and some experimental investigations are conducted. Experimental results show that the improved FxNLMS algorithm enhances the performance of microvibration isolation effectively—in the presence of single-tone (4 Hz at amplitude of 250 μm) and double tone (2 Hz mixed with 6 Hz at amplitude of 250 μm) excited microvibration, the isolation ratios of the improved FxNLMS controller are 20.79 dB and 15.32 dB respectively, while those of the conventional FxNLMS controller are 13.83 dB and 10.65 dB respectively.
ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2018.05.013