scholarly journals A SEISMIC CONTROL SYSTEM WITH MULTI-TUNING VISCOUS MASS DAMPER AND ITS DESIGN METHOD

2009 ◽  
Vol 74 (643) ◽  
pp. 1575-1583 ◽  
Author(s):  
Hidenori KIDA ◽  
Shigeki NAKAMINAMI ◽  
Kenji SAITO ◽  
Kohju IKAGO ◽  
Norio INOUE
Keyword(s):  
Control System ◽  
Design Method ◽  
Seismic Control ◽  
Mass Damper ◽  
Viscous Mass

scholarly journals SHAKING TABLE TEST OF SEISMIC CONTROL SYSTEM USING FORCE RESTRICTED TUNED VISCOUS MASS DAMPER

2012 ◽  
Vol 18 (39) ◽  
pp. 437-440 ◽  
Author(s):  
Masahiro IKENAGA ◽  
Taichi YOSHIKAWA ◽  
Takuya NAGASE ◽  
Kohju IKAGO ◽  
Norio INOUE
Keyword(s):  
Control System ◽  
Shaking Table Test ◽  
Shaking Table ◽  
Seismic Control ◽  
Mass Damper ◽  
Viscous Mass

A Design Method of Continuous Deadbeat Control System

1997 ◽  
Vol 117 (8) ◽  
pp. 1107-1112
Author(s):  
Hiroshi Murata ◽  
Yoshiharu Harada
Keyword(s):  
Control System ◽  
Design Method ◽  
Deadbeat Control

Fuzzy neural network control algorithm for asymmetric building structure with active tuned mass damper

2020 ◽  
Vol 26 (21-22) ◽  
pp. 2037-2049
Author(s):  
Xiao Yan ◽  
Zhao-Dong Xu ◽  
Qing-Xuan Shi
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Neural Network ◽  
Linear Quadratic Regulator ◽  
Tuned Mass Damper ◽  
Linear Quadratic ◽  
Mass Damper ◽  
Fuzzy Neural ◽  
Neural Network Algorithm ◽  
Damper Control

Asymmetric structures experience torsional effects when subjected to seismic excitation. The resulting rotation will further aggravate the damage of the structure. A mathematical model is developed to study the translation and rotation response of the structure during seismic excitation. The motion equations of the structures which cover the translation and rotation are obtained by the theoretical derivations and calculations. Through the simulated computation, the translation and rotation response of the structure with the uncontrolled system, the tuned mass damper control system, and active tuned mass damper control system using linear quadratic regulator algorithm are compared to verify the effectiveness of the proposed active control system. In addition, the linear quadratic regulator and fuzzy neural network algorithm are used to the active tuned mass damper control system as a contrast group to study the response of the structure with different active control method. It can be concluded that the structure response has a significant reduction by using active tuned mass damper control system. Furthermore, it can be also found that fuzzy neural network algorithm can replace the linear quadratic regulator algorithm in an active control system. Because fuzzy neural network algorithm can control the process on an uncertain mathematical model, it has more potential in practical applications than the linear quadratic regulator control method.

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