Adaptive system supervising the response control for smart structures

Zubair Rashid Wani, Manzoor Tantray, Ehsan Noroozinejad Farsangi

Research output: Chapter in Book / Conference PaperChapter

Abstract

The chapter will be dedicated in incorporating smart devices to enhance the seismic resilience of the civil engineering structures. The chapter would specifically deal with designing a computationally efficient and adaptive control algorithm with magnetorheological (MR) dampers as control devices, based on response optimization of the structure subjected to seismic excitation. This control strategy also requires fewer structural feedbacks than traditional control systems, making the whole application simple and cost-efficient. Moreover, the whole dynamic range of the MR damper is employed in increasing the compliance of structural control. The performance of the response-based adaptive (RBA) control with single and multiple objective optimizations is contrasted with H2/LQG (where LQG is linear quadratic Gaussian regulator) algorithm. Next, the experimental verification of the RBA control strategy with an MR damper installed on the ground floor is conducted on a five-story framed structure. Details of the shake table, experimental setup, transducers, control hardware, etc., are deliberated. Also, the design, fabrication, and details of the novel power amplifier circuit, which provides the required control current to the MR damper based on control voltage have been discussed. Finally, the proposed semi-active control strategy is compared with passive control strategies (passive-ON and passive-OFF).
Original languageEnglish
Title of host publicationAutomation in Construction toward Resilience
Subtitle of host publicationRobotics, Smart Materials, and Intelligent Systems
EditorsEhsan Noroozinejad Farsangi, Mohammad Noori, Tony T. Y. Young, Paulo B. Lourenço, Paolo Gordoni, Izuru Takewaki, Eleni Chatzi, Shaofan Li
Place of PublicationU.S.
PublisherCRC
Pages277-316
Number of pages40
ISBN (Electronic)9781000912906
ISBN (Print)9781032350868
DOIs
Publication statusPublished - 1 Jan 2023

Bibliographical note

Publisher Copyright:
© 2024 selection and editorial matter, Ehsan Noroozinejad Farsangi, Mohammad Noori, Tony T.Y. Yang, Paulo B. Lourenço, Paolo Gardoni, Izuru Takewaki, Eleni Chatzi, and Shaofan Li; individual chapters, the contributors.

Fingerprint

Dive into the research topics of 'Adaptive system supervising the response control for smart structures'. Together they form a unique fingerprint.

Cite this