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This paper deals with Takagi-Sugeno fuzzy logic applied to an autonomous photovoltaic system for power maximization. It includes a DC-DC buck converter state model connected between the PV panel and the load in order to maximize the output power. The TS fuzzy MPPT controller is compared to the classical P&O and fuzzy Mandani algorithms. Results show that: thanks to its capacity to transform the...
This paper aims firstly at contributing to the problematic of nonlinear Takagi-Sugeno (TS) approach for state and fault estimation with unmeasurable premise variables. The second objective is the application of this method on Fuel Cell Systems (FCSs). In order to achieve the estimated value of the fault, an observer based method is essential. The development and optimization of Fuel Cell parameter...
A fuzzy fault-tolerant control (FFTC) framework is proposed for wind-diesel-hybrid systems (WDHS) with time-varying bounded sensor faults. The algorithm utilizes fuzzy systems based on “Takagi–Sugeno” (TS) fuzzy models to represent nonlinear systems. A fuzzy proportional-integral estimation observer (FPIEO) design is proposed to achieve fault estimation of TS models with abrupt sensor faults. Sufficient...
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