To access the full text documents, please follow this link: http://hdl.handle.net/2117/107883
Title: | LMI-based design of distributed energy-dissipation systems for vibration control of large multi-story structures |
---|---|
Author: | Palacios Quiñonero, Francisco; Rubió Massegú, Josep; Rossell Garriga, Josep Maria; Reza Karimi, Hamid |
Other authors: | Universitat Politècnica de Catalunya. Departament de Matemàtiques; Universitat Politècnica de Catalunya. CoDAlab - Control, Dinàmica i Aplicacions |
Abstract: | In this paper, we present an advanced computational procedure that allows obtaining distributed energy-dissipation systems for large multi-story structures. The proposed methodology is based on a decentralized velocity-feedback energy-to-componentwise-peak (ECWP) controller design approach and can be formulated as a linear matrix inequality (LMI) optimization problem with structure constraints. To demonstrate the effectiveness of the proposed design methodology, a passive damping system is computed for the seismic protection of a 20-story building equipped with a complete set of interstory viscous dampers. The high-performance characteristics of the obtained passive ECWP control system are clearly evidenced by the numerical simulation results. Also, the computational effectiveness of the proposed design procedure is confirmed by the low computation time of the associated LMI optimization problem. |
Abstract: | Peer Reviewed |
Subject(s): | Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures Àrees temàtiques de la UPC::Informàtica::Automàtica i control Matrix inequalities Structural control (Engineering) Buildings--Vibration Vibration control Large scale control Energy-dissipation systems Passive control Seismic protection Matrius (Matemàtica) Control d'estructures (Enginyeria) Edificis -- Vibració |
Rights: | Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Document type: | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
Published by: | Elsevier |
Share: |
![]() ![]() |