Multivariable adaptive fuzzy control for nonlinear building-MR damper systems

Li Zhou; Chih-Chen Chang

doi:10.1117/12.488891

18 August 2003 Multivariable adaptive fuzzy control for nonlinear building-MR damper systems

Li Zhou, Chih-Chen Chang

Proceedings Volume 5057, Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures; (2003) https://doi.org/10.1117/12.488891
Event: Smart Structures and Materials, 2003, San Diego, California, United States

Abstract

The development of implementable control strategies that can fully utilize the capabilities of semi-active control devices is a challenging task due to the intrinsically nonlinear characteristics of the problem. In this study, a multivariable adaptive fuzzy controller is derived for a multiple-input and multiple-output nonlinear system, and a multivariable adaptive fuzzy control strategy is proposed accordingly for the use of magnetorheological (MR) dampers to protect buildings against dynamic hazards, such as severe earthquakes and strong winds. The proposed control strategy involves the design of fuzzy controllers and adaptation laws. The control objective is set to minimize the difference between some desirable response and the response of the combined system by adaptively adjusting MR dampers. The use of the adaptation law eliminates the needs for acquiring characteristics of the combined system in advance. The combination of the fuzzy controller and the adaptation law provides a robust control mechanism that can be used to protect nonlinear or uncertain structures subjected to random loads. Numerical and analytical results are presented to illustrate the application of the proposed control strategy.

Citation Download Citation

Li Zhou and Chih-Chen Chang "Multivariable adaptive fuzzy control for nonlinear building-MR damper systems", Proc. SPIE 5057, Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures, (18 August 2003); https://doi.org/10.1117/12.488891

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available