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Active structural control by fuzzy logic rules: An introduction

Technical Report ·
DOI:https://doi.org/10.2172/448036· OSTI ID:448036
 [1];  [2]
  1. Argonne National Lab., IL (United States). Reactor Engineering Div.
  2. Texas Univ., El Paso, TX (United States). Dept. of Mechanical and Industrial Engineering

A zeroth level introduction to fuzzy logic control applied to the active structural control to reduce the dynamic response of structures subjected to earthquake excitations is presented. It is hoped that this presentation will increase the attractiveness of the methodology to structural engineers in research as well as in practice. The basic concept of the fuzzy logic control are explained by examples and by diagrams with a minimum of mathematics. The effectiveness and simplicity of the fuzzy logic control is demonstrated by a numerical example in which the response of a single- degree-of-freedom system subjected to earthquake excitations is controlled by making use of the fuzzy logic controller. In the example, the fuzzy rules are first learned from the results obtained from linear control theory; then they are fine tuned to improve their performance. It is shown that the performance of fuzzy logic control surpasses that of the linear control theory. The paper shows that linear control theory provides experience for fuzzy logic control, and fuzzy logic control can provide better performance; therefore, two controllers complement each other.

Research Organization:
Argonne National Lab., IL (United States). Reactor Engineering Div.
Sponsoring Organization:
USDOE Assistant Secretary for Nuclear Energy, Washington, DC (United States)
DOE Contract Number:
W-31109-ENG-38
OSTI ID:
448036
Report Number(s):
ANL/RE/PP--84290; ON: DE97002722
Country of Publication:
United States
Language:
English

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