Semi-active vibration control of stay cables using neural networks

Y. Chen, J. M. Ko, Yiqing Ni

Research output: Journal article publicationConference articleAcademic researchpeer-review

3 Citations (Scopus)


This paper describes a study on semi-active vibration control of stay cables by using electro/magneto-rheological (ER/MR) dampers and adopting neural network control technique. An improved neuro-controller, which is derived without need of a reduced-order system model, is first developed for implementing the semi-active control. The neuro-controller is devised following three steps. In step 1, based on a multi-degree-of-freedom finite element model of the cable, an LQG controller is constructed to obtain the optimal feedback fully active control force by assuming complete state observation and solving algebraic Riccati equation. In step 2, a neural network is designed and trained to emulate the performance of the LQG controller. The trained neural network is still a fully active controller but only a few response states are included as network inputs in the training process to simulate incomplete state observation. In this way, the need of system model reduction and an extra state estimator is eliminated. In step 3, the fully active network controller is clipped to achieve the voltage value required to semi-actively control the cable vibration through ER/MR dampers. Both the velocity orientation clipping and the maximum voltage clipping are introduced. After completing the design of the neuro-controller, a numerical example of a 12m-long stay cable specimen connected with a small-size ER damper is provided to verify the control effectiveness of the proposed strategy.
Original languageEnglish
Pages (from-to)377-386
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1 Jan 2001
EventSmart Systems for Bridges, Structures, and Highways-Smart Structures and Materials 2001- - Newport Beach, CA, United States
Duration: 5 Mar 20017 Mar 2001


  • ER/MR damper
  • LQG controller
  • Neuro-controller
  • Semi-active vibration control
  • Stay cable

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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