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Acceleration-based fuzzy sliding mode control for high-rise structures with hybrid mass damper

  • Zhenfeng Lai (Earthquake Engineering Research & Test Center (EERTC), Guangzhou University) ;
  • Yanhui Liu (Earthquake Engineering Research & Test Center (EERTC), Guangzhou University) ;
  • Dongfan Ye (Earthquake Engineering Research & Test Center (EERTC), Guangzhou University) ;
  • Ping Tan (Earthquake Engineering Research & Test Center (EERTC), Guangzhou University) ;
  • Fulin Zhou (Earthquake Engineering Research & Test Center (EERTC), Guangzhou University)
  • Received : 2023.02.16
  • Accepted : 2023.11.10
  • Published : 2024.06.25
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Abstract

The Hybrid Mass Damper (HMD) has proven effective in mitigating vibrations in high-rise structures subject to seismic and wind-induced excitations. One derivative configuration of the HMD mounts an Active Mass Damper (AMD) atop a Tuned Mass Damper (TMD). However, the control efficacy of such HMDs may be compromised when confronted with loads that exceed their design parameters. Additionally, the confined structural space within high-rise structures often limits the feasibility and economic viability of retrofitting HMD systems. This study introduces an Acceleration-based Fuzzy Power Approach Rate Sliding Mode Control (AFP-SMC) algorithm aimed at enhancing the control efficacy of HMDs while minimizing their stroke and force output requirements. Employing the Canton Tower as a research prototype, an analytical model incorporating HMDs was established, and a comparative analysis between the AFP-SMC and Linear Quadratic Gaussian (LQG) control algorithms was conducted for efficacy. The control performance of the AFP-SMC control algorithm under different control parameter variations was investigated. Furthermore, by experimentally assessing the AMD subsystem within the Canton Tower, friction and ripple force formulas were derived to bolster the analytical model, thereby validating the robustness of the AFP-SMC algorithm. The results show that the proposed AFP-SMC algorithm effectively reduces the vibration response of the structure and the stroke and control force output of HMDs, and exhibits superior overall control performance and robustness compared to the LQG algorithm.

Keywords

Acknowledgement

The research described in this paper was financially supported by the Natural Science Foundation of Guangdong Province of China (No. 2021A1515010586), National Natural Science Foundation of China (52378293), National Key R&D Project of China (No. 2021YFE0112200).

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