Semi-active control for isolated structure using variable damping device based on response evaluator of system

Akira Fukukita, Masaki Takahashi, Kazuo Yoshida

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper presents a response evaluator which evaluates the response of the system and decides the control input to the system. It is applied to a base isolated structure with a semi-active oil damper whose damping coefficient has large or small values. Absolute acceleration of a top story and displacement of an isolated layer are the input signals of the response evaluator, and switching parameter for the damping coefficient is the output signal of the response evaluator. The response evaluator consists of a layered neural network, and a genetic algorithm is used to adjust the neural network parameters which decide the performance of the response evaluator. A computer simulation is carried out using several kinds of earthquake motions, and absolute acceleration and displacement of each story which are trade off relations of each other are reduced to the intermediate value of the response in case where constant damping coefficients are large or small. From the result of simulations, the effectiveness of the response evaluator is verified.

Original languageEnglish
Pages (from-to)865-873
Number of pages9
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume75
Issue number752
Publication statusPublished - 2009 Apr
Externally publishedYes

Fingerprint

Damping
Neural networks
Earthquakes
Genetic algorithms
Computer simulation
Oils

Keywords

  • Genetic algorithm
  • Neural network
  • Response evaluation
  • Seismic isolation
  • Semi-active control
  • Variable damper

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Industrial and Manufacturing Engineering

Cite this

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N2 - This paper presents a response evaluator which evaluates the response of the system and decides the control input to the system. It is applied to a base isolated structure with a semi-active oil damper whose damping coefficient has large or small values. Absolute acceleration of a top story and displacement of an isolated layer are the input signals of the response evaluator, and switching parameter for the damping coefficient is the output signal of the response evaluator. The response evaluator consists of a layered neural network, and a genetic algorithm is used to adjust the neural network parameters which decide the performance of the response evaluator. A computer simulation is carried out using several kinds of earthquake motions, and absolute acceleration and displacement of each story which are trade off relations of each other are reduced to the intermediate value of the response in case where constant damping coefficients are large or small. From the result of simulations, the effectiveness of the response evaluator is verified.

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