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Fuzzy Control of Smart TMD using Multi-Objective Genetic Algorithm  

Kang, Joo-Won (영남대학교 건축학부)
Kim, Hyun-Su (선문대학교 건축학부)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.24, no.1, 2011 , pp. 69-78 More about this Journal
Abstract
In this study, an optimization method using multi-objective genetic algorithm(MOGA) has been proposed to develop a fuzzy control algorithm that can effectively control a smart tuned mass damper(TMD). A 76-story benchmark building subjected to wind load was selected as an example structure. The smart TMD consists of 100kN MR damper and the natural period of the smart TMD was tuned to the first mode natural period of the example structure. Damping force of MR damper is controlled to reduce the wind-induced responses of the example structure by a fuzzy logic controller. Two input variables of the fuzzy logic controller are the acceleration of 75th floor and the displacement of the smart TMD and the output variable is the command voltage sent to MR damper. Multi-objective genetic algorithm(NSGA-II) was used for optimization of the fuzzy logic controller and the acceleration of 75th story and the displacement of the smart TMD were used as objective function. After optimization, a series of fuzzy logic controllers which could appropriately reduce both wind responses of the building and smart TMD were obtained. Based on numerical results, it has been shown that the control performance of the smart TMD is much better than that of the passive TMD and it is even better than that of the sample active TMD in some cases.
Keywords
wind response control; supertall building; smart TMD; fuzzy logic control; multi-objective genetic algorithm;
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