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Membership functions for change in error signal.  

Membership functions for change in error signal.  

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Article
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A controller based on Fuzzy logic is implemented and its application to the regulation of power converter is investigated. Being free of complex equations and heavy computation, it achieves fast dynamic response and adapts to varying conditions of operation. The topology is modeled using MATLAB software and operated at finite higher switching frequ...

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Citations

... DC-DC converter allows to extract the maximum power from PV panel (Esram and Chapman, 2007). Approaches such as Perturb and Observe method, Incremental Conductance algorithm, Fuzzy Logic methods are proposed to track the optimal point (Chiu, 2009;Rameshkumar and Arumugam, 2009;Lalouni and Rekiou, 2009). Approach based on voltage corresponding to maximum power has also been developed. ...
... Provided, it is more suitable for non linear systems. Because of these reasons, FLC based Maximum Power Point Tracking (MPPT) algorithm attracts research interests and various FLC based MPPT techniques are proposed in the literatures (Chiu, 2009;Rameshkumar and Arumugam, 2009;Lalouni and Rekiou, 2009;Xu, 2009;Lian et al., 2001;Chuang et al., 2011;Lin et al., 2013;Narimani and Lam, 2009;Lee et al., 2011). T-S Fuzzy algorithm applied to standalone PV system that utilizes buck converter is reported in Chiu (2009). ...
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This paper presents Takagi-Sugeno (T-S) Fuzzy based approach for operating the solar panel in Standalone Photovoltaic (SPV) system at Maximum Power Point (MPP). The SPV system incorporated with T-S Fuzzy algorithm can be represented by four local models and each model in turn is characterized by an optimal operating point. This optimal operating point of local models pave a way to compute the optimal operating point of PV panel. The duty cycle of the boost converter placed between the panel and load has to be appropriately varied based on the computed value, allowing the panel to provide optimal power. The performance of T-S Fuzzy algorithm applied to the boost converter present in SPV system is tested in simulation for various operating conditions and compared with the performance obtained using Incremental Conductance Algorithm. The results indicate the effectiveness of the proposed T-S Fuzzy algorithm in tracking maximum power than the Incremental Conductance Algorithm.
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... Para realizar el diseño del controlador, se deben realizar los pasos siguientes (Rameshkumar y Arumugam, 2009): a) Seleccionar parámetros y elementos de control como factores de escala para las señales de entrada y salida. b) Particionar el universo de discurso del intervalo abarcado por cada variable en un número de subconjuntos difusos, y asignar una etiqueta lingüística a cada una. ...
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... Very often, the output variable is the duty ratio used to control the DC-DC converter (Sanaa et al., 2016). Besides, there are various inputs, chosen particularly from the characteristics of the battery model (Rameshkumar and Arumugam, 2009;Ramadan, 2017). The used model allows for an adequate presentation of a real battery behaviour. ...
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... The operating parameters of a Buck converter were predicted by a continuous-time model and the fault ratio in determination of operating parameters was reduced [2]. Fuzzy controlled resonant Buck converter was developed and the load decays were improved [3]. A neuro-fuzzy controller was designed for a nonlinear Buck converter and the circuit parameters were determined by the controller. ...
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