Semi-active LQG control of seismically excited nonlinear buildings using optimal Takagi-Sugeno inverse model of MR dampers

Askari, M; Li, J; Samali, B

Semi-active LQG control of seismically excited nonlinear buildings using optimal Takagi-Sugeno inverse model of MR dampers

Askari, M

Li, J

Samali, B

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Publication Type:: Conference Proceeding
Citation:: Procedia Engineering, 2011, 14 pp. 2765 - 2772
Issue Date:: 2011-10-25

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Field	Value	Language
dc.contributor.author	Askari, M https://orcid.org/0000-0002-0239-4651	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.date.issued	2011-10-25	en_US
dc.identifier.citation	Procedia Engineering, 2011, 14 pp. 2765 - 2772	en_US
dc.identifier.issn	1877-7058	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31462
dc.description.abstract	A novel semi-active control method for a seismically excited nonlinear benchmark building equipped with magnetorheological (MR) dampers is presented and evaluated in this paper. While Linear Quadratic Gaussian (LQG) controller is designed to estimate the optimal control force of a MR damper, the required voltage input for the damper to produce such control force is achieved by a proposed optimal Takagi-Sogeno(T-S) fuzzy inverse model. The proposed T-S fuzzy inverse model of dampers is derived using subtractive clustering, non-dominated sorting genetic algorithm II (NSGAII) and adaptive neuro-fuzzy inference systems (ANFIS). The effectiveness of this strategy is illustrated and verified using simulated response of a 20-storey full-scale nonlinear benchmark building excited by several historical earthquake records. The designed semi-active system is compared with the performances of active control as well as clipped optimal control (COC) systems, which are based on the same nominal controller as is used in this study. The results are discussed based on the evaluation criteria suggested for the benchmark problem by International Association for Structural Control and Monitoring (IASCM) for comparison with other algorithms and demonstrate the superiority of this scheme over other strategies.	en_US
dc.relation.ispartof	Procedia Engineering	en_US
dc.relation.isbasedon	10.1016/j.proeng.2011.07.348	en_US
dc.title	Semi-active LQG control of seismically excited nonlinear buildings using optimal Takagi-Sugeno inverse model of MR dampers	en_US
dc.type	Conference Proceeding
utslib.citation.volume	14	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	09 Engineering	en_US
dc.location.activity	Hong Kong
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	14	en_US

Abstract:

A novel semi-active control method for a seismically excited nonlinear benchmark building equipped with magnetorheological (MR) dampers is presented and evaluated in this paper. While Linear Quadratic Gaussian (LQG) controller is designed to estimate the optimal control force of a MR damper, the required voltage input for the damper to produce such control force is achieved by a proposed optimal Takagi-Sogeno(T-S) fuzzy inverse model. The proposed T-S fuzzy inverse model of dampers is derived using subtractive clustering, non-dominated sorting genetic algorithm II (NSGAII) and adaptive neuro-fuzzy inference systems (ANFIS). The effectiveness of this strategy is illustrated and verified using simulated response of a 20-storey full-scale nonlinear benchmark building excited by several historical earthquake records. The designed semi-active system is compared with the performances of active control as well as clipped optimal control (COC) systems, which are based on the same nominal controller as is used in this study. The results are discussed based on the evaluation criteria suggested for the benchmark problem by International Association for Structural Control and Monitoring (IASCM) for comparison with other algorithms and demonstrate the superiority of this scheme over other strategies.

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http://hdl.handle.net/10453/31462