Wind and Structures

Techno-Press (테크노프레스)
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Wind vibration control of stay cables using an evolutionary algorithm

  • Chen, Tim (Faculty of Information Technology, Ton Duc Thang University) ;
  • Huang, Yu-Ching (Department of Earth Science, National Taiwan Normal University) ;
  • Xu, Zhao-Wang (Department of Earth Science, National Taiwan Normal University) ;
  • Chen, J.C.Y. (Faculty of Information Technology, University of California)
  • Received : 2019.12.04
  • Accepted : 2021.01.22
  • Published : 2021.01.25
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Abstract

In steel cable bridges, the use of magnetorheological (MR) dampers between butt cables is constantly increasing to dampen vibrations caused by rain and wind. The biggest problem in the actual applications of those devices is to launch a kind of appropriate algorithm that can effectively and efficiently suppress the perturbation of the tie through basic calculations and optimal solutions. This article discusses the optimal evolutionary design based on a linear and quadratic regulator (hereafter LQR) to lessen the perturbation of the bridges with cables. The control numerical algorithms are expected to effectively and efficiently decrease the possible risks of the structural response in amplification owing to the feedback force in the direction of the MR attenuator. In addition, these numerical algorithms approximate those optimal linear quadratic regulator control forces through the corresponding damping and stiffness, which significantly lessens the work of calculating the significant and optimal control forces. Therefore, it has been shown that it plays an important and significant role in the practical application design of semiactive MR control power systems. In the present proposed novel evolutionary parallel distributed compensator scheme, the vibrational control problem with a simulated demonstration is used to evaluate the numerical algorithmic performance and effectiveness. The results show that these semiactive MR control numerical algorithms which are present proposed in the present paper has better performance than the optimal and the passive control, which is almost reaching the levels of linear quadratic regulator controls with minimal feedback requirements.

Keywords

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