SEMI-ACTIVE SEISMIC ISOLATION CONTROL BASED ON MR DAMPER AND NEURAL NETWORKS

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概要

• 論文の詳細を見る

• The base isolation is a promising technique to eliminate the damage from ground motion. In order to improve the safety of a semi-active building, the magneto-rheological (MR) dampers are used to replace the traditional adjustable dampers. As the MR damper features nonlinearity, it is not easy, and even impossible, to apply the traditional control strategies on the basis of precise mathematical models. Hence, this paper presents an indirect adaptive control structure based on neural networks. This control structure consists of a neural controller, and a neural identifier which can estimate the back-propagation error of controller. The numerical simulations show that the new strategy is much better than the results of neural network controller without quadratic momentum term.

• 一般社団法人日本機械学会の論文

著者

• Yi Jianqiang

  Laboratory Of Complex System And Intelligent Science Institute Of Automation Chinese Academy Of Scie

• Yi Jianqiang

  Laboratory Of Complex System And Intelligence Science Institute Of Automation Chinese Academy Of Sci

• Guo Dalei

  Laboratory of Complex System and Intelligent Science, Institute of Automation, Chinese Academy of Sciences

• Guo Dalei

  Laboratory Of Complex System And Intelligent Science Institute Of Automation Chinese Academy Of Sciences

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• SEMI-ACTIVE SEISMIC ISOLATION CONTROL BASED ON MR DAMPER AND NEURAL NETWORKS

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