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A strategy of control based on a model reference adaptive control (MRAC) is proposed for a wind Turbine. The electrical machine used is a doubly fed induction generator (DFIG). The proposed MRAC technique is designed, based on sliding mode and fuzzy logic methodologies. The goal is to control the generation of the power in the wind turbine. The simulation results obtained are satisfying and with high...
Nowadays, thermo electrical (TE) modules are increasingly popular because their prices go down and new potential applications have emerged. This paper presents modeling, simulation, and control of the power generation of a thermoelectric generator (TEG) using Matlab/Simulink. To get the aim of maximizing the power from the TEG, an MPPT controller based on sliding mode control (SMC) was implemented...
Load converter is the second stage of multiconverter electronic power system. Under tight control, the converter acts as constant power load (CPL). The CPL has innate incremental negative resistance properties (INR). The INR influence the power quality of system. In this paper, the proposed fuzzy logic controller aims to regulate the voltage of dc-dc buck converter which is feeding the CPL and the...
The purpose of this document is to give a wide-ranging comparison between different photovoltaic (PV) maximum power point tracking (MPPT) methods. The MPPTs considered in this work are perturb and observe (PO), incremental conductance (IC), sliding mode (SM), and fuzzy logic (FL) tracker. A model of MSX 60 solar module and the different MPPTs applied to a boost chopper was simulated by means of Matlab/Simulink...
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