| RCGA 기법을 이용한 컨테이너 크레인의 T-S 퍼지 모델링 |
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이윤형, 유희한, 정병건, 소명옥, 진강규, 오세준 |
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| T-S Fuzzy Modeling for Container Cranes Using a RCGA Technique |
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Yun-Hyung Lee, Heui-Han Yoo, Byung-Gun Jung, Myung-Ok So, Gang-Gyoo Jin, Sea-June Oh |
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| Abstract |
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In this paper, we focuses on the development of Takagi-Sugeno (T-S) fuzzy modeling in a nonlinear container crane system. A T-S fuzzy model is characterized by fuzzy if-then rules which represent the locally input-output relationship whose consequence part is described by a state space equation as subsystem. The T-S fuzzy model in container cranes first obtains a few number of linear models according to operation conditions and blends these conditions using fuzzy membership functions. Parameters of the membership functions are adjusted by a RCGA to have same dynamic characteristics with nonlinear system of a container crane. Simulations are given to illustrate the performance of T-S fuzzy model. |
| Key Words:
Container cranes;T-S fuzzy model;Fuzzy blending;RCGA(Real-coded genetic algorithm) |
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