Evaluation of Robust Performance of Fuzzy Supervisory Control Technique
Author(s) -
Seung-Yong Ok,
Kwan-Soon Park,
HyunMoo Koh
Publication year - 2005
Publication title -
journal of the earthquake engineering society of korea
Language(s) - English
Resource type - Journals
eISSN - 2234-1099
pISSN - 1226-525X
DOI - 10.5000/eesk.2005.9.5.041
Subject(s) - linear quadratic gaussian control , control theory (sociology) , optimal projection equations , robust control , benchmark (surveying) , control system , supervisory control , fuzzy control system , fuzzy logic , engineering , computer science , control engineering , control (management) , geodesy , artificial intelligence , geography , electrical engineering
This paper describes the robust performance of fuzzy supervisory control (FSC) approach for the seismic response control of cable-stayed bridges. FSC is a hybrid control method with the hierarchical structure of several sub-controllers and fuzzy supervisor. Each sub-controller is preliminarily designed to reduce the selected response of the structure only, and a fuzzy supervisor is introduced to improve the overall control performance by modulating the pre- designed static gains into time-varying dynamic gains. To demonstrate the robust performance of the proposed strategy, the FSC and linear quadratic Gaussian (LQG) controller are optimally designed and their seismic performances are compared according to the variation of the bridge stiffness in the phase I benchmark control problem. The comparative results show that the FSC system can clearly guarantee the robust performance against the uncertainties of the bridge model.
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