Adam Schmidt

The Design of an Active Seismic Control System for a Building Using the Particle Swarm Optimization

Adam Schmidt, Roman Lewandowski

In: Artificial Intelligence and Soft Computing

Series: Lecture Notes in Artificial Intelligence

Vol.: 6114

Year: 2010

Pages: 651--658

Publisher: Springer Berlin / Heidelberg

Publisher's page: http://www.springerlink.com/content/1150101018633227/

Abstract:

Recently significant attention has been paid to the active reduction of vibrations in civil constructions. In this paper we present the synthesis of an active control system using the particle swarm optimization method. The controller design is analyzed as a building stories' displacement minimalization problem. The proposed fitness function is computationally efficient and incorporates the constraints on the system's stability and actuators' maximum output. The performance of the obtained controller was tested using historical earthquake records. The performed numerical simulations proved that the designed controller is capable of efficient vibrations reduction.