Adaptive Robust Fuzzy Fin Stabilizer Design for Ship Roll Nonlinear Systems
Abstract
This paper addresses the problem of designing fin control for the ship roll stabilization. A novel adaptive robust fuzzy control (ARFC) algorithm is presented for ship roll nonlinear system with unstructured uncertainties. In the algorithm, the Takagi-Sugeno type fuzzy logic systems are employed to approximate uncertain functions in the systems, and a systematic procedure is developed for the synthesis of adaptive robust fuzzy control whose adaptive mechanism has minimal learning parameterizations by use of Lyapunov theorem. Application example illustrating the methoddescribed is included for ship roll stabilization, which is shown that the derived closed-loop system can be made uniformly ultimately bounded.
