Work

Wavelet PSO-Based LQR Algorithm for Optimal Structural Control Using Active Tuned Mass Dampers

Year: 2013

Type: article

Abstract: This study presents a new method to find the optimal control forces for active tuned mass damper. The method uses three algorithms: discrete wavelet transform (DWT), particle swarm optimization (PSO), and linear quadratic regulator (LQR). DWT is used to obtain the local energy distribution of the motivation over the frequency bands. PSO is used to determine the gain matrices through the online update of the weighting matrices used in the LQR controller while eliminating the trial and error. The method is tested on a 10-story structure subject to several historical pulse-like near-fault ground motions. The results indicate that the proposed method is more effective at reducing the displacement response of the structure in real time than conventional LQR controllers.

Source: Computer-Aided Civil and Infrastructure Engineering

DOI: 10.1111/mice.12017

Authors: Fereidoun Amini, N.Khanmohammadi Hazaveh, A.Abdolahi Rad

Institution: Iran University of Science and Technology

Language: English

Topic: Vibration Control and Rheological Fluids

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $5,230