Semi-active neuro-control of cable vibration based on reduced-order model

Yong Chen, Bing Nan Sun, Wen Juan Lou, Yiqing Ni, Jan Ming Ko

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper designs a semi-active neuro-control of cable vibration based on a reduced-order model to suppress the cable vibration, using the smart electro/magneto rheological (ER/MR) dampers. The smart semi-active ER/MR damper has great advantages in vibration control in civil engineering, and has attracted much attention from researchers. The paper proposes a neuro-estimator and neuro-controller for the semi-active vibration control of stay cables. The effectiveness of the proposed neural network control strategies is numerically verified by applying to a 12 m long scale-model cable prototype connected with an MR damper near the lower anchorage. The generalization of the proposed two neural networks is verified, which shows the adaptive capability of the configured neuro-controllers under the dynamic excitation distinct from training. The analysis results show that the proposed control strategies can effectively implement semi-active vibration control of stay cables in the use of MR dampers.
Original languageEnglish
Pages (from-to)211-216
Number of pages6
JournalKongzhi Lilun Yu Yingyong/Control Theory and Applications
Volume21
Issue number2
Publication statusPublished - 1 Apr 2004

Keywords

  • Electro/magneto-rheological (ER/MR) damper
  • Inclined cable
  • Modal reduction
  • Neural network controller
  • Semi-active vibration control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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