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Fuzzy Sliding Mode Control For Ship Roll Stabilization
Author(s) -
Chen ShyhLeh,
Hsu WeiChih
Publication year - 2003
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1111/j.1934-6093.2003.tb00110.x
Subject(s) - control theory (sociology) , fuzzy logic , robustness (evolution) , sliding mode control , mode (computer interface) , fuzzy control system , amplitude , robust control , engineering , controller (irrigation) , upper and lower bounds , control engineering , computer science , control system , control (management) , mathematics , nonlinear system , artificial intelligence , physics , agronomy , biochemistry , chemistry , quantum mechanics , biology , electrical engineering , gene , operating system , mathematical analysis
A fuzzy sliding mode controller is proposed in this study for ship roll stabilization. Ship dynamic models usually contain large uncertainty. Sliding mode control is well known for its good robustness to large uncertainty. However, the required uncertainty bound is usually difficult to estimate. A fuzzy logic is designed here for the upper bound estimation of the uncertainty coming mostly from the wave excitation. As a result, the uncertainty‐related parameters in the sliding mode controller are automatically tuned by fuzzy logic according to the encountered wave amplitude. The present controller has the advantage that smaller control efforts are required for the anti‐capsizing purpose under the same sea states. A numerical example is investigated to confirm the analysis.