Fuzzy logic and genetic algorithms for intelligent control of structures using MR dampers

Gang Yan; Lily Li Zhou

doi:10.1117/12.540382

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29 July 2004 Fuzzy logic and genetic algorithms for intelligent control of structures using MR dampers

Gang Yan, Lily Li Zhou

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Proceedings Volume 5391, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems; (2004) https://doi.org/10.1117/12.540382
Event: Smart Structures and Materials, 2004, San Diego, CA, United States

Abstract

Fuzzy logic control (FLC) and genetic algorithms (GA) are integrated into a new approach for the semi-active control of structures installed with MR dampers against severe dynamic loadings such as earthquakes. The interactive relationship between the structural response and the input voltage of MR dampers is established by using a fuzzy controller rather than the traditional way by introducing an ideal active control force. GA is employed as an adaptive method for optimization of parameters and for selection of fuzzy rules of the fuzzy control system, respectively. The maximum structural displacement is selected and used as the objective function to be minimized. The objective function is then converted to a fitness function to form the basis of genetic operations, i.e. selection, crossover, and mutation. The proposed integrated architecture is expected to generate an effective and reliable fuzzy control system by GA’s powerful searching and self-learning adaptive capability.

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Gang Yan and Lily Li Zhou "Fuzzy logic and genetic algorithms for intelligent control of structures using MR dampers", Proc. SPIE 5391, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (29 July 2004); https://doi.org/10.1117/12.540382

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