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Journal of Intelligent Material Systems and Structures
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Model-based Fuzzy Control for Buildings Installed with Magneto-rheological Dampers

Haiping Du

Mechatronics and Intelligent Systems, Faculty of Engineering University of Technology, Sydney, P.O. Box 123, Broadway, NSW 2007, Australia, hdu{at}eng.uts.edu.au

Nong Zhang

Mechatronics and Intelligent Systems, Faculty of Engineering University of Technology, Sydney, P.O. Box 123, Broadway, NSW 2007, Australia

The article presents a model-based fuzzy controller design method for seismic response reduction of building structures using MR dampers. Firstly, the MR damper model is obtained as a fuzzy model using T-S fuzzy modeling technique; then, this model is integrated with the linear structural model to formulate a fuzzy system; at last, the optimal control strategy, such as GH2 (generalized H2 or energy-to-peak) control of which objective is to minimize the peak value of control output under energy-bounded disturbance, is applied to design the fuzzy controller. The advantage of this new control strategy is that the optimal control theory can be directly applied to design a fuzzy controller such that the closed-loop system stability and performance can be theoretically guaranteed. In addition, the command signal can be obtained directly from the measured feedback signals. A numerical example is used to validate the effectiveness of the proposed approach. It is confirmed by the simulations that the designed controller achieves better performance than existing semi-active control strategies such as clipped-optimal control and fuzzy control.

Key Words: MR damper • semi-active control • fuzzy modeling • structural vibration.

This version was published on June 1, 2009

Journal of Intelligent Material Systems and Structures, Vol. 20, No. 9, 1091-1105 (2009)
DOI: 10.1177/1045389X09102148
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