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http://dx.doi.org/10.5394/KINPR.2007.31.8.697

T-S Fuzzy Modeling for Container Cranes Using a RCGA Technique  

Lee, Yun-Hyung (Graduate school of National Korea Maritime University)
Yoo, Heui-Han (Division of Mechatronics Engineering, National Korea Maritime University)
Jung, Byung-Gun (Division of Mechatronics Engineering, National Korea Maritime University)
So, Myung-Ok (Division of Mechatronics Engineering, National Korea Maritime University)
Jin, Gang-Gyoo (Division of Computer.Control and Electronic Communications, National Korea Maritime University)
Oh, Sea-June (Division of Mechatronics Engineering, National Korea Maritime University)
Publication Information
Journal of Navigation and Port Research / v.31, no.8, 2007 , pp. 697-703 More about this Journal
Abstract
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.
Keywords
Container cranes; T-S fuzzy model; Fuzzy blending; RCGA(Real-coded genetic algorithm);
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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