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Adaptive Sliding Mode Control for Semi-Active Structural Vibration Control

Abdelkrim SAIDI1*, Khaled ZIZOUNI1, Boufeldja KADRI2, Leyla FALI3, Ismail Khalil BOUSSERHANE1
1 ArchiPEL Lab, TAHRI Mohamed University, PB 417, Bechar, Algeria
saidikarim2008@yahoo.fr (*Corresponding author), zizouni.khaled@univ-bechar.dz, bou_isma@yahoo.fr
2 Smart-Grids and renewable energy Lab, TAHRI Mohamed University, PB 417, Bechar, Algeria
kadri_bf@yahoo.fr
3 FIMAS Lab, TAHRI Mohamed University, PB 417, Bechar, Algeria
fali.leyla@pg.univ-bechar.dz

ABSTRACT: Semi-active control methods were developed as an attempt to reduce vibration in structures exposed to earthquake motion and overcome the difficulties encountered due to the ignorance of the real seismic responses as well as its real proper time history. Furthermore, the availability of excellent devices such as the Magneto Rheological damper for developing an adequate control force based on control law estimation in real time has been urging researchers in the last few years to design a robust controller. In this case the big challenge is to find an appropriate controller design correlated with a performant algorithm for current or tension fitting. In this paper, an adaptive sliding mode controller is proposed for controlling the vibrations of a scaled three-story structure equipped with a MR damper installed on its ground floor. The scaled structure is exposed to the Boumerdès and theEl Centro’s earthquake excitations. The numerical simulation results for the proposed adaptive controlled structure compared with the results obtained for the uncontrolled structure have shown the effectiveness, stability and robustness of the semi-active feedback adaptive control design.

Keywords: MR damper, Semi-active control, Seismic vibration, Adaptive law, SMC, Clipped optimal algorithm.

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CITE THIS PAPER AS:
Abdelkrim SAIDI, Khaled ZIZOUNI, Boufeldja KADRI, Leyla FALI, Ismail Khalil BOUSSERHANE, Adaptive Sliding Mode Control for Semi-Active Structural Vibration Control, Studies in Informatics and Control, ISSN 1220-1766, vol. 28(4), pp. 371-380, 2019. https://doi.org/10.24846/v28i4y201901