Litcius/Paper detail

Neural Networks and Fuzzy Logic Based Maximum Power Point Tracking Control for Wind Energy Conversion System

Hayat El Aissaoui, Abdelghani El Ougli, Belkassem Tidhaf

2021Advances in Science Technology and Engineering Systems Journal17 citationsDOIOpen Access PDF

Abstract

shown that it ensures more efficiency, and we used for that a simulation under Matlab/Simulink.

Topics & Concepts

Control theory (sociology)Fuzzy logicArtificial neural networkWind powerMaximum power point trackingTracking (education)Computer sciencePower (physics)Energy (signal processing)Control (management)Control engineeringEngineeringArtificial intelligenceMathematicsPhysicsElectrical engineeringPsychologyInverterPedagogyQuantum mechanicsStatisticsWind Turbine Control SystemsSensorless Control of Electric MotorsFuzzy Logic and Control Systems