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

With the development of construction techniques, it is possible to build large-span bridges, pipelines, dams, and other essential structures in seismically active regions or in active faults. A new method to find the optimal control forces for active tuned mass damper is presented in this paper. Three algorithms: discrete wavelet transform (DWT), particle swarm optimization (PSO), and linear quadratic regulator (LQR). DWT are 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 presented in this paper indicate that the proposed method is more effective at reducing the displacement response of the structure in real time than conventional LQR controllers.

• Record URL:
  https://doi.org/10.1111/mice.12017
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10939687
• Authors:
  • Amini, Fereidoun
  • Hazaveh, N Khanmohammadi
  • Rad, A Abdolahi
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 542-557
• Serial:
  • Computer-Aided Civil and Infrastructure Engineering
  • Volume: 28
  • Issue Number: 7
  • Publisher: Blackwell Publishing
  • ISSN: 1093-9687
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8667

Subject/Index Terms

• TRT Terms: Algorithms; Dampers; Dislocation (Geology); Earthquake resistant design; Seismicity; Testing
• Uncontrolled Terms: Particle swarm optimization
• Subject Areas: Bridges and other structures; Geotechnology; Highways; I24: Design of Bridges and Retaining Walls;

Filing Info

• Accession Number: 01488458
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 30 2013 9:47AM