A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source

DOI10.1002/ASJC.2007zbMath1432.93059OpenAlexW2911074114MaRDI QIDQ5213855

Nasserdine Boudjerda, Sid-Ahmed Touil, Ahsene Boubakir, Khalil El Khamlichi Drissi

Publication date: 6 February 2020

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.2007

zbMATH Keywords

sliding mode controlartificial neural networkharmonic distortionmaximum power point trackergrid connectionphotovoltaic source

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Application models in control theory (93C95) Variable structure systems (93B12) Networked control (93B70)

Related Items (2)

Robust \(\mathcal{L}_1\) fuzzy adaptive controller for three-phase grid-connected photovoltaic system ⋮ Predictive direct torque control with reduced ripples for induction motor drive based on T‐S fuzzy speed controller

Cites Work

• Output Feedback Control of a Dual-Excenter Vibration Actuator via qLPV Model and TP Model Transformation
• Active and Reactive Power Control Techniques Based on Feedback Linearization and Fuzzy Logic for Three-Phase Grid-Connected Photovoltaic Inverters
• Experimental Implementation of New Sliding Mode Control Law applied To a DC-DC Boost Converter
• Control of Grid Connected Photovoltaic Systems with Microinverters: New Theoretical Design and Numerical Evaluation
• Chattering Attenuation Sliding Mode Approach for Nonlinear Systems

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