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Active Structural Control with Stable Fuzzy PID Techniques

  • Book
  • © 2016

Overview

Authors:
  1. Wen Yu

    1. Departamento de Control Automatico, CINVESTAV-IPN, Mexico City, Mexico

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  2. Suresh Thenozhi

    1. Departamento de Control Automatico, CINVESTAV-IPN, Mexico, Mexico

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Promotes the use of active vibration control for damage
  • reduction and safety in civil engineering of buildings
  • Compares industrial
  • proportional-integral-derivative (PID) methods with those of fuzzy compensation
  • Provides results from previously unsolved problems
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Introduction

    • Wen Yu, Suresh Thenozhi
    Pages 1-3

  3. Active Structural Control

    • Wen Yu, Suresh Thenozhi
    Pages 5-40

  4. Position and Velocity Estimation

    • Wen Yu, Suresh Thenozhi
    Pages 41-56

  5. Stable PID Active Control of Building Structures

    • Wen Yu, Suresh Thenozhi
    Pages 57-78

  6. Fuzzy PID Control of Building Structures

    • Wen Yu, Suresh Thenozhi
    Pages 79-103

  7. Fuzzy Sliding Mode Control for Wind-Induced Vibration

    • Wen Yu, Suresh Thenozhi
    Pages 105-122

  8. Conclusions

    • Wen Yu, Suresh Thenozhi
    Pages 123-124
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Keywords

About this book

This book presents a detailed discussion of intelligent techniques to measure the displacement of buildings when they are subjected to vibration. It shows how these techniques are used to control active devices that can reduce vibration 60–80% more effectively than widely used passive anti-seismic systems.

After introducing various structural control devices and building-modeling and active structural control methods, the authors propose offset cancellation and high-pass filtering techniques to solve some common problems of building-displacement measurement using accelerometers. The most popular control algorithms in industrial settings, PD/PID controllers, are then analyzed and then combined with fuzzy compensation. The stability of this combination is proven with standard weight-training algorithms. These conditions provide explicit methods for selecting PD/PID controllers. Finally, fuzzy-logic and sliding-mode control are applied to the control of wind-induced vibration. Themethods described are supported by reports of experimental studies on a two-story building prototype.

This book is a valuable resource for academic researchers interested in the effects of control and mechatronic devices within buildings, or those studying the principles of vibration reduction. Practicing engineers working on the design and construction of any sort of high-rise or vulnerable building and concerned with the effects of either wind or seismic disturbances benefit from the efficacy of the methods proposed.

Authors and Affiliations

  • Departamento de Control Automatico, CINVESTAV-IPN, Mexico City, Mexico

    Wen Yu

  • Departamento de Control Automatico, CINVESTAV-IPN, Mexico, Mexico

    Suresh Thenozhi

About the authors

Wen Yu received the B.S. degree from Tsinghua University, Beijing, China in 1990 and the M.S. and Ph.D. degrees, both in Electrical Engineering, from Northeastern University, Shenyang, China, in 1992 and 1995, respectively. From 1995 to 1996, he served as a Lecturer in the Department of Automatic Control at Northeastern University, Shenyang, China. In 1996, he joined CINVESTAV-IPN, Mexico, where he is currently a professor in the Departamento de Control Automatico. He held research positions with the Instituto Mexicano del Petroleo from 2002 to 2003. He was a senior visiting research fellow at Queen’s University Belfast from 2006 to 2007, a visiting associate professor at University of California Santa Cruz from 2009 to 2010. He also holds a visiting professorship at Northeastern University in China from 2006 until now. Dr.Wen Yu serves as an associate editor of Neurocomputing, and Journal of Intelligent and Fuzzy Systems. He is a member of Mexican Academy of Science.

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