Active Control of Structures Using Genetic Algorithms
Kim, Yoon-Jun
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https://hdl.handle.net/2142/83505
Description
Title
Active Control of Structures Using Genetic Algorithms
Author(s)
Kim, Yoon-Jun
Issue Date
2000
Doctoral Committee Chair(s)
Ghaboussi, Jamshid
Department of Study
Civil Engineering
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Civil
Language
eng
Abstract
The methodology developed three major design aspects: a genetic algorithm-based control parameter optimization based on the real design criteria, a state space reconstruction technique for estimating the full state of a structure using accelerations measured from sensors installed on the structure, and the robustness of controllers to sensor noise and model uncertainty. These three topics are investigated in this study. Controllers are designed using different robustness criteria, and the results are compared and discussed. Results are also examined with other well-known control methods on the same evaluation criteria to provide a comparison. The proposed methodology has great potential to develop a general control design environment for various controllers including neuro and fuzzy controllers.
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