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Application of fuzzy set theory to the active control of base-isolated structures

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Base-isolation of structures that are subjected to seismic excitation has been shown to be effective in reducing the forces transmitted to the superstructure. Active control, using linear control laws, applied to supplement the base isolation has proved to be effective in reducing the transmitted forces further. However, the response of a base isolated structure is non-linear and non-deterministic. Hence non-linear control laws that accommodate uncertainty would yield better reduction of these forces. Fuzzy set theory (and fuzzy logic) provide a simple framework to specify these complex control laws. In this study fuzzy techniques are employed for the non-linear control of sliding-isolated structures. The results obtained with the fuzzy algorithm are compared with the analytical and experimental results obtained using an instantaneous optimal control algorithm. The results demonstrate the potential of the fuzzy algorithm when applied to the hybrid control of structures.

Original languageEnglish
Title of host publication1993 IEEE International Conference on Fuzzy Systems
PublisherPubl by IEEE
Pages871-876
Number of pages6
ISBN (Print)0780306155
StatePublished - 1993
EventSecond IEEE International Conference on Fuzzy Systems - San Francisco, CA, USA
Duration: Mar 28 1993Apr 1 1993

Publication series

Name1993 IEEE International Conference on Fuzzy Systems

Conference

ConferenceSecond IEEE International Conference on Fuzzy Systems
CitySan Francisco, CA, USA
Period03/28/9304/1/93

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