Wavelet PSO-based LQR algorithm for optimal structural control using active tuned mass dampers

Mahdi Abdollahirad; Arcan Yanik

doi:10.1115/DETC201546140

Wavelet PSO-based LQR algorithm for optimal structural control using active tuned mass dampers

Mahdi Abdollahirad, Arcan Yanik

Department of Civil Engineering

Istanbul Technical University

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

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.

Original language	English
DOIs	https://doi.org/10.1115/DETC201546140
Publication status	Published - 2015
Event	ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015 - Boston, United States Duration: 2 Aug 2015 → 5 Aug 2015

Conference

Conference	ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015
Country/Territory	United States
City	Boston
Period	2/08/15 → 5/08/15

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Copyright © 2015 by ASME.

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10.1115/DETC201546140

Cite this

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title = "Wavelet PSO-based LQR algorithm for optimal structural control using active tuned mass dampers",

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.",

author = "Mahdi Abdollahirad and Arcan Yanik",

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Wavelet PSO-based LQR algorithm for optimal structural control using active tuned mass dampers. / Abdollahirad, Mahdi; Yanik, Arcan.
2015. Paper presented at ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015, Boston, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Wavelet PSO-based LQR algorithm for optimal structural control using active tuned mass dampers

AU - Abdollahirad, Mahdi

AU - Yanik, Arcan

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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U2 - 10.1115/DETC201546140

DO - 10.1115/DETC201546140

M3 - Paper

AN - SCOPUS:84979071942

T2 - ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015

Y2 - 2 August 2015 through 5 August 2015

ER -

Wavelet PSO-based LQR algorithm for optimal structural control using active tuned mass dampers

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