Design of Optimal Fuzzy Controllers for Semi Active Vibration Suppression of MultiFloor Buildings Based on a Distributed Parameter Model and Magneto Rheological Dampers

Document Type : Research Article

Authors

1 School of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

2 School of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran, Center of Excellence in Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract

The main objective of this paper is to propose an optimal fuzzy controller for suppressing the resulting vibration of an earthquake in a five floor building facilitated with magneto rheological damper. To this end, by utilizing the Hamilton’s principle, equations of motion of the system are derived based on a distributed parameter model. The mode shapes of the system are found by finite element simulations. A magneto rheological damper is used for each floor. To find the rule base of the fuzzy controller, a single degree of freedom vibratory system is considered and the rules derived from open loop simulations are utilized for controlling the vibration of the building. Spencer’s model is employed for analyzing the behavior of the magneto rheological damper. By recognizing the magneto rheological damper behavior as well as having the rule based obtained from single degree of freedom simulations, a fuzzy controller is designed to suppress the vibration of the building. Finally, the genetic algorithm is used to improve the performance of the proposed controller. Comparing the results of semi-active vibration control with passive-on and passive-off control strategies reveals that the suggested fuzzy controller can effectively reduce the amplitude of the vibration of the building.

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Main Subjects


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