Active control of wind-induced vibrations in tall buildings using neural networks

Author

Nerves, Allan C. ; Krishnan, R.

Author_Institution

Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA

Volume

2

fYear

1994

fDate

5-9 Sep 1994

Firstpage

1292

Abstract

A neural network is proposed in the paper to provide active control to a building-tuned mass damper system using direct control by a modified backpropagation scheme. The specialized learning architecture which allows the neural controller to learn to control the system interactively and autonomously while it is in operation is applied in this paper to overcome the effects of wind induced oscillations in tall civil structures. Simulation results are presented to study the properties of the proposed scheme and it is found that these results are encouraging for possible control implementations

Keywords

backpropagation; closed loop systems; intelligent control; neural nets; vibration control; active control; building-tuned mass damper system; direct control; modified backpropagation scheme; neural networks; specialized learning architecture; tall buildings; tall civil structures; wind-induced vibrations; Control systems; Damping; Force control; Force measurement; Frequency; Intelligent networks; Neural networks; Open loop systems; Vibration control; Weight control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on

Conference_Location

Bologna

Print_ISBN

0-7803-1328-3

Type

conf

DOI

10.1109/IECON.1994.397980

Filename

397980