Publications » The Design of an Active Seismic Control System for a Building Using the Particle Swarm Optimization
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
Publisher: Springer Berlin / Heidelberg
Publisher's page: http://www.springerlink.com/content/1150101018633227/
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.