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- W1551115881 abstract "This paper proposes a modeling and controller design approach for a hybrid wind power generation system that considers a fixed wind-turbine and a dump load. Since operating conditions are kept changing, it is challenge to design a control for reliable operation of the overall system. To consider variable operating conditions, Takagi-Sugeno (TS) fuzzy model is taken into account to represent time-varying system by expressing the local dynamics of a nonlinear system through sub-systems, partitioned by linguistic rules. Also, each fuzzy model has uncertainty. Thus, in this paper, a modern nonlinear control design technique, the sliding mode nonlinear control design, is utilized for robust control mechanism. In the simulation study, the proposed controller is compared with a proportional-integral (PI) controller. Simulation results show that the proposed controller is more effective against disturbances caused by wind speed and load variation than the PI controller, and thus it contributes to a better quality wind-hybrid power generation system." @default.
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- W1551115881 date "2009-07-31" @default.
- W1551115881 modified "2023-10-18" @default.
- W1551115881 title "Control and Operation of Hybrid Microsource System Using Advanced Fuzzy- Robust Controller" @default.
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- W1551115881 doi "https://doi.org/10.5207/jieie.2009.23.7.029" @default.
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